text:
Johnny Cash and Alternative Rock
by Dan Weiss | July 18, 2013
The original alt rock ethos can be traced all the way back through Johnny Cash's catalog: an antihero singing about killing a man just to watch him die, being on the gallows himself, and wearing black for the fallen and disenfranchised. The path followed by everyone from Lou Reed to Nick Cave to Nirvana was forged by Cash first, and he has been embraced wholeheartedly by the alt rock world, most recently via the vocal similarities of Daughn Gibson, who released his own very good Me Moan last week. Gibson's record prompted us to take a look back at the many Cash tributes from alternative and punk bands (from Everlast's "Folsom Prison Blues" blending in Cypress Hill's "Insane in the Brain" scratch to Pearl Jam's reverent "25 Minutes to Go" and Social Distortion's punked-out "Ring of Fire"), as well as Cash's own seemingly incongruous covers: his famous version of Nine Inch Nails' "Hurt," of course, but also Sheryl Crow's eerie "Redemption Day," Soundgarden's triumphant "Rusty Cage" and Beck's not-well-known "Rowboat."


text:
If the game freezes, just click inside it (games can get unresponsive if you click elsewhere on the page).
You are playing as DJ. You get to shoot first. Select an arrow on the court to start. If you make the shot, chowder has to hit a shot from the same position. If he makes it, it's a draw, and you start again. If he misses, he gets a letter, and it's your turn again. If you miss, Chowder gets to shoot first. If he makes it, you have to shoot from the same place. If you miss, you get a letter and Chowder starts again. The first player to spell the word HOUSE loses.
Use Mouse to interact.

subset: commoncrawl


text:
central alabama
central alabama
Results: 1 - 5 of 5
News & Tours
Tide keeps rising in men's college ranking
By Ryan HerringtonThere's a couple things that might stand out to you when you see the latest Golf World/Nike Golf Division I men's coaches' poll.1) The usual suspects hold the top spots.2) An awful lot...
Wednesday, 10/16/2013 at 7:30AM
News & Tours
Alabama men roll again in coaches' poll
By Ryan HerringtonAlabama, victorious in its 2013-14 season opener at Olympia Fields, kept hold of the top spot in the latest Golf World/Nike Golf Division I coaches' poll. The defending NCAA champions won their seventh...
Wednesday, 9/25/2013 at 9:28AM
News & Tours
Cal's the 1 in the latest men's coaches' poll
By Ryan HerringtonCalifornia likely has other things on its mind this afternoon as the Golden Bears attempt to claim the Pac-12 men's title at Los Angeles CC—they enter today's final round with a two-stroke edge...
Wednesday, 5/1/2013 at 11:00AM
News & Tours
No. 1 Cal men ready for road ahead
California maintained its spot atop the Golf World/Nike Golf men's Division I coaches' poll, earning 15 of the 19 available first-place votes. After the close of voting the Golden Bears' claimed their ninth title in...
Thursday, 4/18/2013 at 9:55AM
- keywords:
- California,
- Central Alabama,
- Men's college golf,
- Nova Southeastern,
- Oglethorpe
News & Tours
Cal men quite comfortable atop polls
By Ryan HerringtonForget for a moment the number 1. The metric by which to measure the California men's golf team, ranked atop the latest Golf World/Nike Golf Division I coaches' poll, these days is something...
Wednesday, 3/27/2013 at 11:00AM
- keywords:
- Barry,
- California,
- Central Alabama,
- Golf World/Nike Golf coaches' poll
Results: 1 - 5 of 5


text:
The Blues almost managed a remarkable comeback in the final in Tokyo, with INAC having been 3-0 up and cruising with 10 minutes remaining.
Recent recruit Rachel Williams gave Chelsea hope with a goal and then set up Hannah Blundell for a second, but they were caught on the break in injury-time and went down to the tournament favourites.
Williams and fellow England international Laura Bassett are the two high-profile additions to Hayes' squad so far and she is hopeful of adding more ahead of what will be a tough Women's Super League campaign judged on the recruitment drives being undertaken by some of their likely rivals.
"We have big expectations for next season at Chelsea and I think once everyone sees the signings we bring in you will see that we have very serious intentions to compete and win our league next season," Hayes said.
"I think once we complete the signings of a few more players we will add good quality to the team. But we also have some good youngsters coming through and I think you will see a much more competitive Chelsea next season.
"Being here has allowed us to build a spirit, which is the most important thing.
"We will have more time to train when we are back in England and we will use this trip as a motivation for the players as it has been a massive success on and off the pitch as we have had time to spend in the community in Tokyo and Okayama."
On Sunday's performance, she added: "We knew it would be a difficult game against a top team and due to the time of the year we didn't have the fitness levels to play a high-pressing game.
"In general I think we had good opportunities, we hit the bar and had a one on one but we missed those chances at crucial times and as we didn't convert 3-0 was too difficult a score to come back from.
"But the team showed great character second half and I think if we played them again during our season we would give them an even better game.
"INAC are a team that have played together for a long time and that is the difference. We have similar philosophies and they have top players but the time together was the main difference."


text:
A search engine provides intelligent multi-dimensional searches, in which the search engine always presents a complete, holistic result, and in which the search engine presents knowledge (i.e. linked facts) and not just information (i.e. facts). The search engine is adaptive, such that the search results improve over time as the system learns about the user and develops a user profile. Thus, the search engine is self personalizing, i.e. it collects and analyzes the user history, and/or it has the user react to solutions and learns from such user reactions. The search engine generates profiles, e.g. it learns from all searches of all users and combines the user profiles and patterns of similar users. The search engine accepts direct user feedback to improve the next search iteration One feature of the invention is locking/unlocking, where a user may select specific attributes that are to remain locked while the search engine matches these locked attributes to all unlocked attributes. The user may also specify details about characteristics, provide and/or receive qualitative ratings of an overall result, and introduce additional criteria to the search strategy or select a search algorithm. Additionally, the system can be set up such that it does not require a keyboard and/or mouse interface, e.g. it can operate with a television remote control or other such human interface.
1. A search apparatus, comprising:
an item database which contains an item for which a search is to be performed, wherein each item has an associated characteristic, wherein similar items are structured along a same characteristic, and wherein it is not necessary that all items of an item group have all the same characteristics;
a logic module for determining those items that must be searched for in said item database;
wherein said logic module searches said item database;
a presentation module for displaying a search result; and
means for allowing a user to lock certain characteristics for said search by said logic module;
wherein said logic module attempts to fulfill higher level, more important characteristics first, violating lower level characteristics if there is differentiation in importance of characteristics.
2. The apparatus of
a user database for storing user searches, wherein said user database stores historically most popular characteristic or characteristics which may include those which fit to a profile of a user, those which are known through available user data, those which are previously provided directly or indirectly by said user, or those which are deducted from earlier selection of characteristics.
3. The apparatus of
4. The apparatus of
5. The apparatus of
6. The apparatus of
7. The apparatus of
8. The apparatus of
9. The apparatus of
10. The apparatus of
11. The apparatus of
12. The apparatus of
13. The apparatus of
14. The apparatus of
a description of an item;
a characteristic;
an action; and
a locking function that allows a user to lock in characteristics which are desired.
15. The apparatus of
16. The apparatus of
17. The apparatus of
18. The apparatus of
19. The apparatus of
a new search button that allows a user to select a next iteration to find a better fitting solution.
20. The apparatus of
a rating function for allowing a user to rate a search.
21. The apparatus of
means for allowing a user to move away from a next best fitting iteration to a totally new starting point in the search.
22. The apparatus of
means for allowing a user to select or build/customize an algorithm.
23. The apparatus of
24. The apparatus of
25. The apparatus of
26. The apparatus of
27. The apparatus of
28. The apparatus of
29. The apparatus of
30. The apparatus of
31. The apparatus of
32. The apparatus of
33. The apparatus of
34. The apparatus of
35. The apparatus of
36. A search method, comprising the steps of:
providing an item database which contains an item for which a search is to be performed, wherein each item has an associated characteristic, wherein similar items are structured along a same characteristic, and wherein it is not necessary that all items of an item group have all the same characteristics;
providing a logic module for determining those items that must be searched for in said item database;
wherein said logic module searches said item database;
providing a presentation module for displaying a search result; and
providing means for allowing a user to lock certain characteristics for said search by said logic module;
wherein said logic module attempts to fulfill higher level, more important characteristics first, violating lower level characteristics if there is differentiation in importance of characteristics.
37. The method of
providing a user database for storing user searches, wherein said user database stores historically most popular characteristics or such characteristics as those which fit to a profile of a user, those which are known through available user data, those which are previously provided directly or indirectly by said user, or those which are deducted from earlier selection of characteristics.
38. The method of
39. The method of
initiating a search;
using a search engine to select an initial search result as a starting point;
listing the most important characteristic for a subsequent search result;
wherein a next response is a search result that fits well to a new set of characteristic; and
wherein said search engine uses an internal algorithm to fit in missing information if said user has not specified said characteristics using preselected, default, or most appropriate values; and
said user optionally selecting a next result/search algorithm.
40. The method of
41. The method of
42. The method of
selecting a result; and
pointing out a violation to said user if certain characteristics are locked, or if user chosen characteristics conflict with each other;
wherein said user can reject a result offered and a new result is then generated violating a different characteristic without changing said locking.
43. The method of
generating results using a conjoint analysis algorithm, wherein at least some of the solutions generated are not a best fitting solution, but a solution selected to help assess a user's preferences and relative importance of said characteristics.
44. The method of
ordering said results to a fit of characteristics and allows the user to scroll through them in sequential order.
45. The method of
displaying a comparison table of a present and a previous search.
46. The method of
asking said user to provide an indication of importance of characteristics when presented with a solution.
47. The method of
providing a user database that contains all historic data about users and searches.
48. The method of
49. The method of
50. The method of
wherein a smart agent finds desired items in said virtual database.
51. The method of
wherein a smart agent finds desired user information in said virtual database.
52. The method of
53. The method of
54. The method of
55. The method of
56. The method of
57. The method of
1. Technical Field
The invention relates to search engines. More particularly, the invention relates to a self-learning and self-personalizing knowledge search engine that delivers holistic results.
2. Description of the Prior Art
With the Internet, information, i.e. ". . . a collection of facts and data" (The American Heritage Dictionary of English Language) is becoming a commodity, such that nearly any fact can be found. Knowledge, i.e. a set of facts or information which are tied together by some logic module relationship, on the other hand is of high value.
Modern search technology is focused on surfacing facts. However, if a user desires knowledge rather than facts, the results of a search on the Internet using today's search engines or product wizards are often of little use. Such searches are typically key word based, using one or two words linked by Boolean logic module. The search engines typically provide a long list of headlines in accordance with these key words. These lists can contain tens of thousands of results.
The better search engines attempt to rank the results, using various methodologies such as frequency of a site visited. Thus, such search engines assume that a higher frequency of visitation is indication of value of information. Alternatively, such search engines may use some internal manual/automatic ranking system. The methods employed are not user specific. Each result typically provides a URL link to the Web page or site containing the information. The URLs must be activated for one site at a time. The user must then scan the Web page pointed to by the URL to determine if the desired information is found on that Web page. If it is not, then the user must select the next item in the list and continue this process until the desired result is found, or until the user simply gives up in frustration.
In typical search engine technology, the user is not able to provide the search engine with any feedback directly or indirectly that might help the search engine find a better result. Other than the key words, the user can not be more specific or multi-dimensional in describing the information for which he is searching.
One type of search engine is referred to as "Product wizards" or product finders, which are commonly used within Web sites of product vendors and merchants. These search engines are either:
Key word based search engines having a pull down window that shows all product names and/or product groups/categories. An alternative to such pull down windows are icons and product pictures, or lists with links. These methods are usually only useful and practical for small product selections;
Question based search engines for more complex products, in which the user must answer a set of questions before the system makes a recommendation. Frequently, as in the case with technical products, it is difficult for the user to answer a number of these questions; or
Modular search engines, where the user must select a base model to which a number of options can then be added by using pull down windows. Based on the selection, a final price is then calculated. DELL computers has such as Web site. Unfortunately, when assembling a personal computer using such search engine, the user can not move between base models, e.g. between a desk top solution and a laptop, or even between one specific laptop series and another laptop series. Nor can the user lock an important feature, such as display size and/or price range, and seamlessly and easily compare solutions which satisfy those requirements.
The shortcomings of today's search engines are numerous:
All of the above search technologies require a keyboard/mouse interface and their use therefore is not available or limited in applications that provide a television remote control or other non-personal computer Internet devices.
Such other human interfaces are expected to proliferate rapidly over the next few years.
The user needs usually determine the search terms (i.e. key words). The user is not presented with solutions to which he can respond from among major characteristics given to him.
The above search technologies do not allow the user to provide any feedback, which would help the search engine to provide better searches in the next iteration. They are not iterative in the sense of moving from a first, coarse solution to a subsequent, fine solution.
The above search technologies do not learn about the searches of all users and the specific user to provide better assistance. That is, they are not adaptive.
None of the above search technologies allow for a simultaneous multi-dimensional search, which delivers a complete result, even if not all characteristics or parameters have been specified.
None of the above search technologies allow a user to vary simultaneously a number of major and minor characteristics, and at the same time lock in other characteristics.
None of the search engines allow the users to make easily trade off's. For example if a user selects a flight at a travel site such as Expedia, the search engine is able to find the lowest cost flight. However, the user can not easily explore—as would any experienced travel agent—other alternatives or "neighboring solutions" such as if the customer would return a day earlier, or would depart from the airport across town he could reduce the cost of the flight substantially.
None of the search technologies allow to summarize and present a number of searches for the same or similar product/service in a tabular form for user friendly comparison.
The shortcomings of today's methods result in a great level of frustration for the user and are neither natural nor intuitive.
A natural approach is usually more holistic and iterative. For example, a potential buyer comes to a used car lot where she finds many different models, and alternatives. The sales person, might not begin the sales process by asking the potential buyer a large number of questions to learn which car might be of interest to the potential customer. Instead, assuming the user provides a little guidance (verbal or non-verbal), the sales person takes a best guess regarding the needs of the potential customer. The sales person "sizes up" the potential buyer and her needs, i.e. he personalizes the search, comparing the few facts known/observed about the user, such as gender, age, and dress, against experience (i.e. a personal, historic data base of all users), leads the person on the lot, and shows her a car (.e. a holistic solution). The buyer reacts about most important characteristics, e.g. "would prefer sports utility," "too expensive," "mileage ok," "like the brand," "a little expensive." Based on this information, the sales person picks a better fitting car (e.g. a next iteration), which again is a complete and holistic result. Again the buyer confirms some of the characteristics and might add a few more of the less important specifications (e.g. characteristics). "Yes like this one but do you have it in a different color, with a sunroof." Another car is presented. This car might not fulfill all specifications, but might be a good compromise considering the relative importance of the characteristics.
It would be advantageous to provide a search engine that was self-learning and self-personalizing, just as with the example of the car salesman above, such that a user was delivered holistic results.
The invention provides a search engine that allows for intelligent multi-dimensional searches, in which the search engine always presents a complete, holistic result, and in which the search engine presents knowledge (i.e. linked facts) and not just information (i.e. facts). The system is adaptive, such that the search results improve over time as the system learns about the user and develops a user profile. Thus, the search engine is self personalizing, i.e. it collects and analyzes the user history, e.g. it has the user react to solutions and learns from such user reactions. The search engine generates profiles, e.g. it learns from all searches of all users and combines the user profile and patterns of similar users. The search engine accepts direct user feedback to improve the next search iteration. The search engine receives multi-dimensional direct feed back.
One feature of the invention is locking/unlocking, where a user may select specific attributes that are to remain locked while the search engine matches these locked attributes to all unlocked attributes. The user may also specify details about characteristics, provide and/or receive qualitative ratings of an overall result, and introduce additional criteria to the search strategy.
Additionally, the system can be set up such that it does not require a keyboard and/or mouse interface, e.g. it can operate with a television remote control or other such human interface.
FIG. 1 is a block schematic diagram of a search engine according to the invention;
FIG. 2 is a block schematic diagram of an item database according to the invention;
FIG. 3 is a block schematic diagram of a presentation module for an automobile search according to the invention;
FIG. 4 is a block schematic diagram of a presentation module for a book search according to the invention;
FIG. 5 is a block schematic diagram of a presentation module for a book in which the methods are intermixed according to the invention;
FIG. 6 is a table that provides an example of a simple database;
FIGS. 7A-7N are a series of block schematic diagrams that provide an example of a user search performed in accordance with the invention;
FIG. 8 is a schematic diagram that illustrates an application of the search engine that allows various characteristics to be detailed by the user and that allows the user to determine the logical relationship to each other according to the invention;
FIG. 9 is a schematic diagram that shows a feature of the invention in which the user can select and/or fine tune the search algorithm; and
FIG. 10 is another schematic diagram that shows a feature of the invention in which the user can select and/or fine tune the search algorithm.
FIG. 1 is a block schematic diagram of a search engine according to the invention. The search engine herein disclosed is a computer-based system comprising the following main elements:
An item database 1000, for example a local or remote database, or a virtual database or agent, such as implemented in XML, which contains the item for which a search is to be performed, logic module 2000 which determines those items that must be searched for in the database, a user database 3000 which stores searches of users, and a presentation module 4000 which displays the search result, as well as acting as the input for additional searches.
Item Database
FIG. 2 is a block schematic diagram of an item database according to the invention. In the presently preferred embodiment of the invention, each item 1100 which is stored in the item database 1000 comprises a complete product or service. Those skilled in the art will appreciate that an item may comprise other information. An item is described by the following:
One or many characteristics 1200. Similar items are structured along the same characteristics. For example, the characteristics could be for:
A book: author, title, publisher, year published, type of book (hard, soft cover), type of content (fiction/non-fiction), category (business, marketing, international), price. Characteristics for other media, such as videos, movies, and CDs are very similar.
A computer: type (e.g. desk top), processor, display, RAM, cache, hard Drive, drive, video, ports, sound, battery, extras, modem, data transfer, software bundle, pointing device, price (e.g. from DELL Home Systems Catalog December 1998).
A car: type (e.g. four door or sport utility), brand, price range, engine size, option package, color, and other options.
A real estate offering: location, type of real estate, price, size, types of room, type of structure, age of structure, and current rental income.
A vacation package: departure dates, destination, type of accommodation, flight information, type of services included, such as city tour and theater tickets.
A mutual fund: name, prospective objectives, portfolio manager, historical profile rating, performance, risk analysis, portfolio analysis, current analysis, such as funds are described by Morningstar and other services.
Not all items of an item group, such as books, must have all the same characteristics. For example, some characteristics may be missing for some items. Characteristics can also be:
User specific (who uses it): such as user weight, height, beginner skier; and
Usage specific (how used): professional, leisure.
Attached to each characteristic is information describing that characteristic of that item 1300. Such information can be any length and any format, e.g. text, audio, video, or a combination thereof. If there are many characteristics they can be differentiated by importance in hierarchies. For example, an item can be defined as a combination of other items, e.g. a vacation package can contain a flight, hotel, car rental, and theater tickets, each of which could be an item in themselves. In this case these sub-items are characteristics.
Each item can be:
Fixed in nature: That is, the characteristics for a specific item are clearly (i.e. one-to-one) related, such as a specific book (e.g. "Designing Systems for Internet Commerce"), which has one, or a group of, specific authors (e.g. "W Treese, L Stewart"), one publisher (e.g. "Addison, Wesley"), and is of one type (e.g. "soft cover"). The same is true for a specific mutual fund or a specific house;
Dynamically generated and/or created based on logic module rules contained in the logic module 2000 (see FIG. 1). A dynamically generated item is created by combining separate characteristics to create one complete item that comprises the desired characteristics. For example, a vacation package can be created by combining flights that fulfill the departure and arrival characteristic with a hotel that satisfies the accommodation characteristic. These logic module rules contain limitations on what can and can not be combined.
Another example is in the area of financial services, such as assembling an asset allocation portfolio. These portfolios are assembled from a number of different financial instruments, such as mutual funds, cash, stocks, and bonds. The rules can determine, for example, which combination, results in what historic risk profile, and returns which satisfy the desired set of characteristics.
The logic module rules describe how to arrive at a characteristic, such as to calculate the total price of the item, while the total price is a characteristic. In addition to/or instead of price, the system can show such characteristics as calculated monthly leasing rates and down payment.
A combination of above, in which some characteristics are fixed and other characteristics can be added dynamically, such as the total price. For example, a number of different hotels can by used for a vacation package, while other characteristics are fixed, such as the flights and car rental; or for a book, the total price can vary based on source (e.g. Amazon.com or Barnes and Noble) of book and shipping cost.
The item searched for can reside on different data bases, and/or Web sites. For example, in one embodiment of the invention a new technology that describes data such as XML (Extensible Markup Language) is used to find an item across multiple Web sites. Characteristics, i.e. sub-items, as described above can also reside on multiple data bases and/or Web sites. The logic module 2000 comprises the rules, for example, of where to search and which database and/or Web sites to query.
An item can be tagged on-the-fly. In case of a knowledge data base, the system reviews tables of content and summaries along certain characteristics and/or key words, and tags the information for the search during the search (i.e. the information is not pre-tagged).
Presentation Module
FIG. 3 is a block schematic diagram of a presentation module for an automobile search according to the invention; and FIG. 4 is a block schematic diagram of a presentation module for a book search according to the invention (see, also, FIG. 9). The presentation module typically comprises a description of a result 4100, a characteristic 4200, information 4300, an action 4400, and a locking feature 4500.
The presentation module can be implemented in any output device having a display. Depending on such factors as the device size and readability, the output can be structured differently. Typical output devices include personal computers, PDAs, televisions, pagers, and Internet devices. In some embodiments of the invention, it is not necessary to provide a visual display. For example, user interaction may proceed with a text to voice system, in which results are read it to the user over the telephone. The user uses the phone pad (DTMF tones) or his/her voice new commands/response to search characteristic.
The description 4100 shows the search result. This is a holistic result. The description can be text based, a picture, video, sound, or a combination thereof. The description can be short or long and have scroll down features. It can be interactive, hyper linked to detailed descriptions, or include special effects. For example, if a car is shown one may be able to rotate the car, view the interior, or get a detailed description of technical aspects. Similarly, for a book the table of contents, the book's listing on a best seller list, or reader comments may be shown.
The characteristics 4200 and information 4300 describe the item shown along with those characteristics. Additional characteristics are shown by scrolling down or selecting a button 4210. Any field of 4200, 4300 may be sensitive, such that the user gets definitions and/or more information by clicking on the field.
The action 4400 is the method by which the search parameters for the next search can be changed by the user. The action may be executed by a variety of methods, such as a pull down menu 4400 (see FIGS. 3 and 4), yes and no questions 4410 (see FIG. 5), multiple choice questions 4420 (see FIG. 5), and/or ratings 4430 (see FIG. 5). It is important to note that yes/no and/or ratings are especially useful for devices that do not have a keyboard, such as limited function input devices or limited voice recognition. Examples of such devices include television remote controls, PDAs, pagers, and telephones with and without screens. In contrast thereto, most modern search engines require the input of words via a keyboard.
FIG. 5 is a block schematic diagram of a presentation module for a book search in which the methods are intermixed according to the invention.
A locking function 4500 allows the user to lock in characteristics which are desired. The user can also unlock characteristics.
A new search button 4600 allows a user to select a next iteration to find a better fitting solution. The new search function can be an enter function that may be voice activated or may be otherwise actuated.
The display can include an alternative way of asking for a new additional search or iteration. For example, a feature which allows the user to move on to a different result 4460 provides a "surfing" or scrolling function. In some embodiments of the invention, this function is provided by a next button that moves the user to a next item, such as a different car, the next scheduled flight or down the New York Times best seller list for books.
The invention also provides a function which allows the user to rate the search 4440 and which provides the logic module 2000 (see FIG. 1) to do so via input/feedback. The different result function 4460 and rating function 4440 are different methods that allow the user to move away from the next best fitting iteration to a totally new starting point in the search. This can be especially helpful if there is no user profile and the user has misjudged in selecting the most appropriate starting point. In a sense, this feature of the invention may be thought of as an escape option for a user where a search strategy is not yielding useful or appropriate results.
Another form of feedback for the logic module 2000 is the addition of search characteristics for content 4450 (see FIG. 5). This is particularly helpful when the system is looking for content, such as an article or a book. For example, knowing that the user is looking for a book related to e-commerce, and getting the characteristic "payment" allows the system to search for books which cover the topics of e-commerce, design (locked in this example), and payment systems and transactions for e-commerce systems. In some embodiments of the invention, a pull down menu is provided that shows the characteristics which are available and that allows the user to add more characteristics.
The interface of the search engine can be structured such that an alphanumeric keyboard is not needed for the data input. Therefore, a simple, standard remote control can be used to lock and change characteristics. This makes the search engine particularly valuable for use with television set-top boxes and other Internet devices that have limited data input options. The user controls can therefore be readily based on simple voice commands, e.g. up, down, left, right, select. For example, the invention can be implemented in a user device that comprises a touch screen, such as is found in multimedia kiosks or used with PDAs, such as the 3Com Palm Pilot.
FIG. 5 also shows a save search result button 4460. This feature saves the search and allows the user to begin an alternative search. The function "display results in comparison table" 4470 allows the user to display side by side saved results.
FIG. 5 also shows a feature of the invention in which the display has a link to another related transaction 4480, i.e. the buy now link. Such additional links allow a user, for example, to purchase a product, add a product to an electronic shopping cart, receive more information, or to print the found item.
The output display may take such forms as symbols for children or for international use, audio output and voice recognition, pictures such as for determining the proper fit of pants (e.g. relaxed fit, pleated, or type of pockets), or type of pant (e.g. jeans, khakis, or corduroys), and colors.
Logic Module
The search engine logic module 2000 (see FIG. 1) allows for intelligent multi-dimensional searches. The logic module always presents a complete, holistic result that provides the user with knowledge (linked facts) not just information (facts). The system is adaptive, such that the search results improve over time as the system learns about the user and develops a user profile. The system is self personalizing, i.e. it collects and analyzes history about the user, it has the user react to solutions and learns from those reactions. The system is also profiling, i.e. it learns from all searches of all users and combines the user profile and patterns of similar users. The system also accepts direct user feedback to improve next search iteration. Such feedback is multidimensional direct feedback, i.e. it has many characteristics.
As discussed above, the search engine provides a locking/unlocking function; actions that specify details about characteristics; qualitative ratings of overall results. The search engine also allows the user to introduce additional characteristics. Finally, the search engine may be set up such that no keyboard and/or mouse interface is required to operate the search engine or that it can be operated using a standard phone, using voice recognition and/or the phone pad as input device. For example using remote control, with up/down, and left/right, movements, as well as enter function (see FIG. 5, those elements identified by numeric designators 4410, 4420, 4430, 4440, are examples of how to design an input interface for a remote control or touch screen). One skilled in interface design can easily design alternative ways to implement the invention.
The search engine functions as follows:
The search engine picks one result as a starting point. For each result the most important characteristics 4200 are listed. The starting point can be context based. For example, if the search engine is integrated into an automobile Web site, the starting point is a car. If the search engine is integrated into a book Web site, the starting point a book, for example, on the New York Times best seller list or, potentially, all the books on the New York Times best seller list, thereby allowing the user to pick a book from the list. If the search engine is integrated into a Web site that is a portal or general merchandise site, the search engine shows pictures of the merchandise categories, or asks the user to input a key word or context sensitive sentence, such as "looking for a book on designing payment systems for e-commerce solutions."
The algorithm for selecting an initial result for an item identified above, such as a car, and/or the item's non-specified characteristics can be very simple or complex depending upon the application to which the invention is put. For example, a response may be selected at random, or preset default characteristics or results may be provided, e.g. a merchant may start with the most profitable product (i.e. a desired result). Alternatively, the initial result may be selected from historically most popular characteristics or such characteristics as those which fit to the profile of the user, those which are known to the system through available customer data, those which are previously provided directly or indirectly by user, or those which are deducted from earlier selection of characteristics, e.g. customers having a similar profile may have chosen before. All of these searches are stored in the user database 3000 (see FIG. 1)
After an initial result is selected, the user reviews the result. The user can lock 4500 the characteristics 4200 he likes and change a few or all of the others, such as the various actions 4400 (see FIG. 4), 4410 4420, 4430 (see FIG. 5). To get the next result, the user selects a button 4600 (see FIG. 5).
The next response of the system is a result that fits the search to the new set of characteristics. If the user has not specified core characteristics, the search engine uses an internal algorithm to fit in the missing information. Alternative algorithms are discussed below. If there is a large number of characteristics, the system fills in those characteristics that are not specified using pre-selected, default, or most appropriate values. These characteristics are often less important or lower priority characteristics.
If certain characteristics are locked, or if user chosen characteristics conflict with each other, a trade-off is needed. The search engine once again selects a result, but points the violation out to the user. The search engine attempts to fulfill the higher level, more important characteristics first, violating lower level characteristics if there is differentiation in importance of characteristics. In this case, the user can reject the result offered and the system then generates a new result violating a different characteristic without changing the locking. To get the next result, the user selects a button 4600 (see FIG. 5).
If a characteristic is locked, for example a 12 cylinder engine, and now the user changes the brand of the car, and in that brand a 12 cylinder engine is not available, the system substitutes the next best solution, indicating that previously locked solution does not exist. Until the locking is changed, the system remembers the request. If the user moves to the next brand, the system once again searches for the 12 cylinder engine.
Alternatively, the search engine generates results using a conjoint analysis algorithm. In this case, the solution generated is not a best fitting solution, but a solution selected to help assess the user's preferences and relative importance of the characteristics. The objective of the conjoint analysis algorithm is not to get to the best fitting results with the least number of iterations, but to learn the most about the user. This is achieved by providing intelligent choices and learning about the user from the manner in which he makes choices compared to others, or from a set of expectations stored in the database 3000.
This aspect of the invention is an important feature of this embodiment. The search engine does not just look at historic data and correlate such data to user profiles (although the system does this as well). Rather, the search engine goes one step further and forces the user to make choices. Thus, the search engine learns by looking at the user's answers and by (optionally) correlating those answers to other user profiles. For an example of techniques in the art that may be applied to this aspect of the invention, see T. Gerace, Method and Apparatus for Determining Behavioral Profile of a Computer User, U.S. Pat. No. 5,848,396 (Dec. 8, 1998). It will be appreciated by those skilled in the art that, instead of conjoint analysis, any other form of analysis may be used in the invention, if that such analysis is based on intelligently generating a result with the purpose of learning about the user's reaction. Based on the strength of the algorithm, the invention provides an adaptive, i.e. self learning and personalizing, knowledge search tool.
Bundling of Products/Services: If a person searched for a car, the system also facilitates the search for related products and services, such as financing and insurance. The system uses the information available about the user and the car selected to offer or suggest financing. The characteristics of the financing solution are total price of car selected (which is taken from search, adjusted by negotiated price vs. listed price), miles driven per year, years of loan, annual income, debt, and other financial information. The user uses the pull down menu/or other input options to adjust those variables to his actual situation. The same can be done for insurance. The system makes a number of assumptions regarding the starting values of the characteristics, such as miles/year, deductible, uninsured driver option, liability limits, driving records, and age of primary driver. The more the system knows and/or has already learnt about the user the better those assumptions are. The user can change these input variables to fit to his situation.
The search engine allows the user to bundle a number of products and/or services. After a user has searched for the primary product (e.g. a car) and the other, dependent products (e.g. insurance, loan), the system presents the user with a summary page, stating the car, and key terms of the other products. To allow an overall comparison of similar bundles, the system calculates a common number (if such a number is logically possible), such as total monthly costs or total cost per mile. To do this the system uses the information regarding annual mileage and the total miles driven (which it knows from insurance calculation). A bundle has the advantage that if the user changes one or any number of the characteristics of any of the items in the bundle, the changes are automatically reflected in all other dependent products. The user also receives an updated total common value, such as cost per mile and/or year. Other examples for bundles are financial portfolios, vacation packages, purchasing a home, relocating, and many other events comprising a set of different services and/or products.
Determining logical relationships between characteristics and/or details describing a characteristic: FIG. 8 is an application of the search engine that illustrates two additional features of the invention:
that allow various characteristics to be detailed by the user 4003; and
that allow the user to determine the logical relationship to each other 4004.
A characteristic 4002 can be described by one or several characteristic details 4003. The user can also determine 4004 what type of relationship exists between these characteristic details, for example are they linked, included, excluded, and/or other type of relationship between the details. Knowledge, as it is defined earlier, is a set of facts tied together by some logic module relationship, the above is one method of tying together these facts. In a similar fashion (not shown in FIG. 8) a set of characteristics can be linked together.
FIG. 9, and 10 show an other feature of the invention, in which the user can select and/or fine-tune the search algorithm. The user, for example, can select from a number of options (FIG. 10), and can further change this algorithm by excluding a certain set of data (FIG. 9, 5003.).
If there are a number of similar results, the search engine orders them according to a fit of characteristics and allows the user to scroll through them in sequential order, or presents them in a summarized version in a comparison table.
In an alternative embodiment of the invention, if the hierarchy differs significantly based on the objectives of the user, e.g. where the search engine is looking for a particular written article or Web site page, and it is not evident which topics are critical and which topics are not, the user might also be asked to provide some indication of importance of characteristics when presented with a solution. This indication can be a ranking. Therefore, the user is in essence determining the hierarchy levels. Alternatively, the user may be asked to provide such indication indirectly, e.g. by expressing a level of satisfaction with the solutions provided. Based on such indications, a hierarchy of the characteristics is deduced. Alternatively, the profile of the user is used to determine the hierarchy.
The user database 3000 (see FIG. 1) contains all the historic data about users and searches. Such information includes information about a user, where such user information is collected during the user's searches. Such information may also include third party information acquired about the user, information about profiles of users or user groups against which the profile of a specific user can be measured, and information about what products a user having a similar profile likes. Alternatively, the database may comprise a plurality of databases that are distributed over a network and connected to each other.
FIG. 6 is a table that provides an example of a simple database. The characteristics are sorted in three classes of hierarchies An, Bn, Cn. The database can contain additional very detailed descriptions about each of these characteristics, not shown in the figure. Key to the database is the provision of a structure along the characteristics. It is also possible to tag data on the fly. This means the data is not structured as it sits in the database, but is structured later.
The system does not necessarily need a database as shown in FIG. 6. Based on new technologies, such as Extensible Markup Language (XML), an extension to HTML programming language that describes data (pictures, text, video), XML extends this capability by also indicating the function of data. XML allows a Web site to classify the content of its Web pages, thereby making it easier to find information. Web sites then become virtual data bases of information that can be searched, categorized, accessed without need for replication or indexing.
FIGS. 7A-7N are a series of block schematic diagrams that provide an example of a user search performed in accordance with the invention. The example proceeds with a search for an automobile. Those skilled in the art will appreciate that this example is provided only for purposes of illustrating the operation of the presently preferred embodiment of the invention and that the herein disclosed search engine is readily applicable to any type of search.
FIG. 7A is the starting selection in the example and shows a preset display of the currently most popular car model in its most popular configuration. The car, including its price, is described in detail in description 4100 FIG. 7A.
The user selects "sport utility" and increases the price range to $30-$35,000 70 (FIG. 7B) and selects the new search now button 4600. The result is that the search engine displays the most popular sports utility vehicle in the given price range (FIG. 7C).
The user now changes the model to a Mercedes and increases the price range to $40-$50,000 71 (FIG. 7D) by selecting the "new search now" button 4600, resulting in the display of a popular sports utility model from Mercedes (FIG. 7E), which satisfies the higher priority characteristics A1, A2, A3 as shown in database FIG. 6. The higher price range allowed to upgrade the lower level characteristics 8 cylinder, metallic paint, third row 71B FIG. 7E. Note the option package has not been upgraded. The system selected this choice of upgrade based on an algorithm/rules which try to select the most popular configuration of the vehicle, satisfying higher priority characteristics. However, this might have been any other algorithm or rules.
The user locks in the type, brand, and engine size 72 (FIG. 7F), and selects a lower target price 73 by selecting the "new search now" button 4600.
This selection results in a violation of constraints (FIG. 7G). The system reduces the price by changing the color to a non-metallic color 74 and by deleting the optional third row 75. However, this is not enough to reduce the price to the target rate selected in 73 FIG. 7F. The system violates this constraint, highlighting the violation. In addition, the system suggests that the user unlock the engine constraint 76, which the user subsequently does. The user also selects the option deluxe (not shown) and resets the price range to $30-$35,000 (not shown). The user then selects the "new search now" button 4600.
FIG. 7H shows the new result. In an attempt to satisfy the characteristic price, the system violated the lower level constraint asking for a deluxe version 77 (FIG. 7H). In essence, the system ignored this request. However, the price constraint is still violated 78 (FIG. 7H). Note the system could not move to a smaller, 4 cylinder engine because such a model is not available for the type and brand which have been locked. Also, note the system shows the price range within which this solution falls, 79 B. Again, the user is informed about this violation.
The user now makes no change to the price range, 79 (FIG. 71), adds the deluxe request and locks this request 80, and selects the "new search now" button 4600. The system finds a matching car (FIG. 7J).
The user adds one option, the third row and locks it 81 (FIG. 7K) and selects the "new search now" button 4600. The result is displayed to the user (FIG. 7L)
In a last step, the color is changed from white to silver metallic and locks it 82 (FIG. 7M), and selects the "new search now" button 4600, resulting in final selection (FIG. 7N), where the price constraint is violated by $500 83FIG. 7N The system can make no suggestions how to reduce the price because most characteristics are locked and there is no smaller engine, as discussed above.
The process could continue now, or further characteristics could be introduced at an earlier stage, if there are any. In the example of the car, these characteristics may include a type of stereo, delivery times as they currently exist for Mercedes M class, service/maintenance contract options, and/or leasing. To get that information, the user selects the information button 4210 (see FIGS. 7A-7N). An advanced system might ask for a leasing option as a main characteristic and then, instead of, or in addition to, quoting the price, the system quotes the monthly leasing payment and down payment.
It is important to note that at every step the user had a totally configured solution car. The user first changed the higher hierarchy characteristics, then the lower hierarchy characteristics in an interactive manner, ending with the least important characteristic for the user in the example, i.e. color.
In addition, the system learned a considerable amount of information about the customer. The user is looking only for a sport utility vehicle. The brand is also very important to the user because the user is willing to accept a major deviation from his target price. Finally, less conclusive is the observation that the user wants to choose the additional third row option. From this, one might assume that the user has a family. Should the user, for example, return to the site to search for a used car, the system could start with offering a Mercedes sports utility vehicle, if such a model is in the inventory stock, all based on the above observations made by the system during the user's previous search session. Assuming that a Mercedes is not available, the system might offer a Durango sports vehicle, which is equipped with a third row. Or, based on the other user preference for deluxe options, the system learned that a good alternative to the Mercedes is the Lincoln Navigator with a third row.
This very simple example makes it evident how powerful the invention is, when compared to any of the methods currently available.
An application for the purchase of books is very similar. Level A characteristics are category fiction/non-fiction, e.g. best seller, new publication, or old. Level B characteristics can be author and/or subject. Level C characteristics can provide further detail or refinements of subject matter. Assuming that a user of the system has searched for books and cars, a user profile can be developed and applied across other product categories. Thus, the system learned on its own how to best serve information to the user.
FIG. 8 illustrates a content application of the search engine that allows various characteristics to be detailed by the user 4003 and logically linked to each other by the user 4004. This allows the search characteristics to be tailored to retrieve only those items that fit the user's search strategy.
For example when looking for an article (content), or Web site/page some of the characteristics 4001FIG. 8 can be well structured, such as category (business Internet, marketing, legal), source (NYT or WSJ), date or time period, etc. Other characteristics relating to content are less well structured 4002 FIG. 8.
The user can determine one or several characteristic details, details describing a characteristic, in this example called content, by typing (those skilled in the art will appreciate that there are other methods, like such as predetermined and pull down menu) those details in one or more fields 4003 FIG. 8). The user can also determine 4004 what type of relationship exists between these characteristic details, for example are they linked, included, excluded, and other type of relationships. In the example shown, Internet Stocks linked to Largest Gain linked to Q4 1998 linked to world, but Asia is excluded. Again someone skilled in the art can use other methods/logic of linking the details of characteristics. The search in this example is therefore for information (e.g. articles, w or Web sites) which talk about the Internet stocks which gained the most in value over the last quarter of 1998 worldwide with the exception of Asia.
In a similar fashion characteristics themselves can be linked. For example, the details of characteristics 4003 of the above example could be elevated to be characteristics instead of details of a characteristic, which the user could select for example from pull down menus and link using 4004.
The search result is displayed 4100. The display may be a headline, sub-headline, first paragraph, or summary paragraph. The user can evaluate the search result 4440 and request the next search 4600. Alternatively, he can ask for another suggestion 4460.
The system can learn from past searches, which results for same or similar question seem to be better fits. This can be done based on direct feedback 4440 and/or indirect feedback such as for example by observing the frequency a request to see the full article, download the article, or other indication that this search result might be of value to user.
FIG. 9 and FIG. 10 provide another example of an application of the invention, also illustrating additional features. Today's methods to find flight information on-line require the user to answer a number of questions and then a price optimized solution is given to the user. They do not allow the user to follow up with a simple trade-off analysis, provide guidance of how possibly to reduce the price, or allow to fine tune the search algorithm. For example can the user save money by changing the departure date, length of stay, depart from a different airport nearby or how much more is it if user selects the airline where she is enrolled in the frequent flier program, if she selects a routing with no stops, if she upgrades to business class, etc. These are questions people typically ask the travel agent. Furthermore, the user might want to eliminate from the search all flights which are already booked out because they are alternatives that are no longer available to the user and therefore of no value.
The user fills in the flight information 5001 (FIG. 9) for the characteristics. For the price range 5100 (FIG. 9 and FIG. 10) the user can either select a target price 5101 (FIG. 10), or an algorithm such as 5102 (FIG. 10). Such an algorithm could be "lowest price possible, allowed to change all unlocked characteristic as needed," "lowest price as is, assumes for this one iteration that all characteristics are locked". In this example, selecting the type of algorithm is more useful than selecting a target price. The user can further fine tune the search by selecting the option of excluding "booked out" flights 5003 (FIG. 9). The user can save the search result 4460 (FIG. 9) and add the result to a comparison table 4480 (FIG. 9).
It is evident that the user can conduct trade-off analysis easily starting from any solution offered. Assume the user starts with the solution shown in FIG. 9., a non-stop flight from San Francisco to Frankfurt for $1295 flight. The user can now analyze how much could be saved by making one or several stops. The user can now unlock the restriction on stops 5004 (FIG. 9). The user would find out (not shown) that the price would be reduced to $980 using United Airlines with one stop. The user, could now select and lock American Airlines, her frequent flier program of choice and find out that the price differential is only $50 above the $980 quoted by United, with still one stop, but a few more restrictions. Finally the user could ask the system to find the lowest cost solution, allowing to change all unlocked characteristics. The result may be a flight departing from Oakland, with two stops and a return date five days later than requested, however at $496. The user can then view all of above selections in a comparison table, putting her in a position to easily select the most attractive solution for her. The item identified by numeric designator 5200 is a further example of a feature, the user can provide the maximum deviation which is acceptable, such as plus or minus three days as shown.
Although the invention is described herein with reference to the preferred embodiment, one skilled in the art will readily appreciate that other applications may be substituted for those set forth herein without departing from the spirit and scope of the present invention. Accordingly, the invention should only be limited by the Claims included below.
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Introducing Security Injections in class
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Companies Revisit 'Rank And Yank' of 1980s
Originally published on Mon December 2, 2013 1:27 pm
By Yuki Noguchi
Longtime General Electric CEO and management icon Jack Welch popularized a management style in the 1980s that critics dubbed "rank and yank." The system ranks employees — with under-performers getting yanked from their jobs or the company. This old practice is in the news again. Microsoft recently did away with it. But other companies are embracing it.


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By Staff Sgt. Alicia K. Borlik, USAAmerican Forces Press Service
WASHINGTON, June 16, 1998 The Defense Department has awarded a $3 million contract to Price Waterhouse to study the military exchange systems for possible consolidation.
Over the next year, the consulting firm will get down to the nuts and bolts of the exchanges to see if a merger is in the services' and service members' interests. The bottom line is what's best for customers, said Buster Tate, the Navy's director of force support and family programs.
The contractor must study every operational aspect of the Marine Corps, Navy, and Army and Air Force exchanges. Tate said that means everything from talking to exchange commanders to visiting stores, gathering information for cost and risk analyses, and preparing detailed options.
Various organizations from the Office of the Secretary of Defense to the General Accounting Office have conducted consolidation studies over the past 28 years, most recently about a year ago. Lack of details doomed them, Tate said.
The service secretaries looked at the 1996 study and requested permission to do a thorough review using a qualified company that specializes in retail acquisition. Fred Pang, then-assistant defense secretary for force management policy, granted permission.
There is no predetermined outcome, Tate said of the exchange study. "We're starting with a clean sheet of paper."


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|Eugenia H. Bean
|Saturday, 08 September 2012 15:35
Eugenia H. Bean age 77 of Munfordville passed away at 4:15 a.m. Saturday September 8, 2012 at T.J. Samson Community Hospital in Glasgow. She was a native of Hart County and a 1953 Caverna graduate. She was preceded in death by her parents, Theodore (THEE) Smith and Esther Mae Owen Smith and a son, Lowell Keith Bean.
Survivors Include
She is survived by a daughter Leslie Richter & her husband Steve of Munfordville.
Her Grandchildren, Phil Richter & fiance Lorena of Monterey,CA.
Brian Richter of Lexington . One sister, Dorothy Walker of Louisville.
Graveside funeral services will be held at 11:00 a.m. Monday September 10, 2012 at the Horse Cave Municipal Cemetery under direction of Winn Funeral Home, Horse Cave, with burial to follow.
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Nebula Awards Showcase 2001
by Robert Silverberg (Editor)
No current Talk conversations about this book.
There's a year in SF etc. roundup, pieces from Daniel Keyes, a list of previous winners and current winners, and a little more. Story from the grandmaster is rubbish, though. Pretty poor at those these anthologies, it seems.
Standout work from Ted Chiang and Michael Swanwick, though.
A 3.57 average, with the added material, enough to make this a 4.
Nebula Awards Showcase 2001 : Story of Your Life - Ted Chiang
Nebula Awards Showcase 2001 : Mars Is No Place for Children - Mary A. Turzillo
Nebula Awards Showcase 2001 : The Cost of Doing Business - Leslie What
Nebula Awards Showcase 2001 : Epilogue from Parable of the Talents - Octavia E. Butler
Nebula Awards Showcase 2001 : The Wedding Album - David Marusek
Nebula Awards Showcase 2001 : Radiant Doors - Michael Swanwick
Nebula Awards Showcase 2001 : Judas Danced - Brian W. Aldiss
Predicting language.
4.5 out of 5
Sick girl trouble fraternal correspondence dowsing sojourn.
3.5 out of 5
Professional victim.
4 out of 5
'She never stopped working. For Earthseed, she used herself up several times over, speaking, haining, politicking, writing, establishing schools that boarded and educated promising students, rich and poor alike. She raised money and directed it into areas of study that she believed would bring fulfillment of the Earthseed Destiny closer. She sent students to universities and helped ihem to fulfill whatever potential she saw in them.'
3 out of 5
If you think the only intelligent conversation you can get is talking to yourself, Sim Polis is the place for you.
3 out of 5
Future Ownership fightback.
4.5 out of 5
Caesar Cheezer.
2.5 out of 5
References to this work on external resources.
Wikipedia in English
Amazon.com Amazon.com Review (ISBN 0156013355, Paperback)Celebrating its 35th year with Showcase 2001, the Nebula Awards anthology series once again offers a fine snapshot of the world of science fiction. Edited by former Nebula Award winner Robert Silverberg, the anthology mixes stories, excerpts, and poetry with essays from speculative fiction notables. Silverberg introduces the collection with a hazy nonexplanation of why works from both 1998 and 1999 are considered for the 1999 Nebula Awards, along with the story of Damon Knight, how SFWA began, and what happened during that first Nebula banquet.
Of course, the reason for the anthology is the winning stories, and they are on display with nice introductions from Silverberg and a bit from each writer on how the story came to be. Featured stories include Ted Chiang's "Story of Your Life" (best novella), Mary A. Turzillo's "Mars Is No Place for Children" (best novelette), Leslie What's "The Cost of Doing Business" (best short story), and an excerpt from Octavia E. Butler's Parable of the Talents (best novel). Other stories include two nominees, David Marusek's "The Wedding Album" and Michael Swanwick's "Radiant Doors," as well as 2000 Grand Master Brain W. Aldiss's 1958 story "Judas Danced."
The most notable essay in the Nebula Showcase comes from Gary K. Wolfe, who examines the field of science fiction and publishing from several different angles, although Wolfe's take on SF movies seems to be thrown in as an afterthought. Winding up the anthology is a thoughtful and enlightening excerpt from Author Emeritus 2000 Daniel Keyes's memoir, Algernon, Charlie, and I: A Writer's Journey, which is about how he wrote Flowers for Algernon, and poetry from Rhysling Award Winners Bruce Boston and Laurel Winter.
For anyone serious about science fiction, the Nebula Awards Showcase 2001 provides an invaluable look at how the professionals view their field. --Kathie Huddleston
(retrieved from Amazon Thu, 12 Mar 2015 18:19:46 -0400)
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New York
Keste so what did I miss ??
Ok so after reading all the hype and hoopla surrounding Keste I gave it a try last week. Maybe it's my fault because everytime I read reviews before I go to a place that gets rants and raves I have been disappointed. I got the classic pie and while it was ok it was not great or even close to earth changing. The dough really threw me off and I cant exactly put my finger on it but was to doughy and seemed undercooked if you get what I mean.
I will try it again as everyone has an off night but my first impression of the place was ehhh it's ok. Little side note all three of us agreed which most of the time rarely ever happens, maybe I am over the artisinal pizza thing and just want my classic ny pie.
Talk is closed, but that doesn't mean the conversations have to stop!
Check out this post for a more thorough explanation, and jump onto our Facebook page or our Twitter feed to keep the conversations going!


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Marijuana treated as a lost and found item on Seattle buses
Metro bus drivers have been given new instructions for lost marijuana: turn it into the lost and found. In Nov. 2012, a statewide ballot initiative approved adults age 21 and older to have up to one ounce of usable marijuana. Even before that, Metro would occasionally find marijuana left on buses – typically small amounts […] [Read More]
Interim police chief likes new pot law, inhaled once himself
Jim Pugel, the assistant Seattle police chief who was named interim chief this week, said Wednesday the state initiative that legalized marijuana has made things clearer for officers and that he'd rather work in a state where such an initiative has passed. "To me and what I hear from the officers, it's clarified what our […] [Read More]


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This suggests that her role at Facebook is either not very time-consuming or she is doing a masterful job of delegation. To be fair, my guess is that Sandberg's job is to handle most of the non-product-development related tasks of running Facebook.
And those matter to investors to the extent that not doing them well take Zuckerberg away from inventing Facebook's future.
4. Earnings growth too slow
Nine Wall Street analysts expect Facebook to enjoy a 641% spurt in earnings per share in 2013 and a much slower 27.6% EPS increase in 2014. For those who use the Price/Earnings to Growth method of valuing stocks — meaning a stock is fairly priced if its P/E divided by its earnings growth rate equals 1 — Facebook is between 76% and 99% over-valued.
How so? Facebook's PEG on 2013 earnings growth is 4.22. In order for that PEG to equal 1, Facebook's stock would need to drop 76% from $26.89 to $6.37. But Facebook's PEG on 2014 earnings growth is 98.1 — requiring Facebook stock to plunge 99.9% to $0.27 to reach a PEG of 1.
Just because Facebook stock is down 29% from where it traded when it went public, it does not mean it's fairly valued. Barring a huge upside surprise, investors should beware.


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Hotels in 15963 - Windber PA
Only hotels in 15963 zip code are listed below. Search for cheap and discount hotel rates in Windber, PA for your upcoming leisure or conference / group travel. We list the best 15963 hotels and motels so you can review the Windber hotel list below to find the perfect lodging. Hotels in Somerset county and area code 814 are also listed.
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Blue Chip
6733 S. Sepulveda Blvd. Suite 105
Los Angeles, CA 90045
Phone: (310) 410-0126
Complete Multi-site Unified Communications Solution
Blue Chip's Sales and Technical team helped bring our company forward with a thoughtful, fully implemented Unified Communications Solution. It has helped our company get more organized and allowed us to better communicate with each other and most importantly our customers. As our company continues to grow, we are glad Blue Chip found a solution that can grow with our business. Helping productivity, improving customer service and saving us money – these are the kind of solutions that Blue Chip offers us.
And with a Managed services contract, I can concentrate on running vital business issues and not having to worry about my IT department.
"Blue Chip welcomes the addition of the Vertical Wave IP Communication System to our lineup of Unified Messaging solutions."


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MicroZOTE® Foam
Product Announcement from Zotefoams, Inc.
MicroZOTE® is a new range of closed-cell, non-crosslinked, microcellular, polyolefin roll foams, manufactured using patented MuCell® extrusion technology.
The process uses high purity, super critical CO2 or N2 to foam polyethylene, polypropylene and copolymer materials in a single stage extrusion process. No chemical or solvent blowing agents are used in the process, removing the possibility of harmful residues being left in the finished product and waiving the need for the post process degassing, so essential with solvent blown foams.
The foams are characterized by their very fine and uniform cell size. This microcellular construction endows MicroZOTE® with exceptional physical characteristics. The foams' inherently sealed surfaces even remove the need for lamination or 3-layer co-extrusion in some applications.
The option to manufacture from FDA approved polymers makes MicroZOTE® suitable for a range of hygienic applications in the medical, medical engineering and food industries for such uses as medical tape manufacture and cap seal liners. Having virtually no odour and no taste also makes MicroZOTE® foams suitable for use in food contact situations.
Other potential markets and applications include seals and gaskets, adhesive tapes, construction, automotive, food, pharmaceutical, leisure and military equipment.
- Thin section with smooth sealed surfaces
- High purity... hygienic
- No odour and no taste
- Non-toxic
- Bio-inert
- FDA Compliant
- Excellent mechanical properties
- Environmentally friendly
- Recyclable
- Good aesthetics
- Low moisture absorption
- Low cost
Commercially available products:
- Densities from 250 - 400 kg/m3
- Thickness 0.5 - 2.5 mm
- Width up to 1250 mm
Development products:
- Densities from 55 - 250 kg/m3
- Thickness... various
- Width up to 1250 mm "
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text:
Soft, lightweight fabric; clean, well-tailored lines; a crisp, Black/Ecru check with subtle, Camel windowpane. No wonder it's considered first for season-spanning wear. Center vent style with natural shoulders and full lining. Dry clean. Imported.
Additional Sizes:
Color : Select Swatch Below
$10.00 additional
(based on 11 reviews)
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Reviewed by 11 customers
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Too big!
By nighthunter
from nevada
About Me Classic, Comfort-oriented, High-end shopper, Practical, Stylish, Trendy
Comments about Jos. A. Bank Executive 2-Button Silk/Wool Check Regal Fit Sportcoat:
I wear 52 long in all jackets. I ordered this jacket in 52 long and it's about four inches too big through the chest area. I emailed customer service twice to see what I needed to do to return or exchange the jacket and Never received a reply. The jacket looks different in person than the photo display. It looks lighter in color and more checkering than I expected. I guess I'll have to live with it and get it tailored by someone else since the company doesn't seem to care.
Bottom Line No, I would not recommend this to a friend
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Excellent quality and price
By Chief
from Virginia Beach, VA
About Me Classic, Comfort-oriented, Practical
Great feel for night out.
Bottom Line Yes, I would recommend this to a friend
The sport coat was to large.
By Randy
from Columbia Maryland
About Me Comfort-oriented, Stylish, Trendy
I ordered a 52L. I recieved a 52L P. Which I assume is for larger men. I love the look of the coat and it is very comfortable. I had to have it taloired and it is still a bit large. I wish I received a regular 52L.
The jacket was to big.
I ordered a 52L. I received a 52L P which I assume is made for larger men. I had to have it taloired to have it fit. It is a great looking jacket. It is still a little big though. I was I recieved the right size. I love the color and style of the jacket.
By Steve
from Bridgeport, West Virginia
About Me Classic, Comfort-oriented, Practical, Stylish, Trendy
I love the feel and look of my sport coat - I wear it to work and church!!!
Excellent Value
By gavbou
from San Francisco Bay Area
About Me Practical
Great jacket, great price. Very good fit. Just the right weight for Northern California
Beautiful jacket, excellent fit
By Family Inventory CEO
from Wisconsin
About Me Classic, Stylish
Beautiful jacket, excellent fit, made my husband look good for his niece's wedding. Also, timely delivery.
(1 of 1 customers found this review helpful)
Customer Service
By Sue
from East Moline, il
About Me Comfort-oriented
Sport coats are OK, fit OK - pants still at your Iowa store being hemmed. CS at that store could use alot of work.
Light weight - sharp looks
By Mike4Madison
from Madison Al
About Me Civic Volunteer, Comfort-oriented, Practical
Need a good looking, light weight sportcoat? Tis is it. Love wearing this.
Still good
By asparagus
from Meridian, MS
About Me Comfort-oriented, Practical
My older JB Executive silk/wool blend sportcoat was better, but this one is still good quality.
(2 of 2 customers found this review helpful)
Good Value
By J3
from Fairhope, AL
About Me Classic, Comfort-oriented, Practical, Stylish
The coat feels great to wear, is very comfortable, and looks good. I ordered the wrong size, but the people at the local JoS.A.Bank store were very helpful in exchanging for the right fit (via mail).
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For Assistance Contact us Toll Free Anytime at 1-800-285-2265
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Portia Williams
Staff Writer
Thanks to an African American man named Carter G. Woodson, the month of February has been designated to be Black History Month.
Black History Month, or African American History Month is a time in which the contributions of African Americans are acknowledged in various ways, such as special programs and events which take place around the country during February each year.
There is a plethora of historical giants which grace the pages of history books, whose lives we celebrate, such as Thurgood Marshall, Booker T. Washington, and one of my personal favorites, Harriet Tubman. Being a person of African descent myself, I have a deep love and appreciation for my ancestors, and how their tragedies have led to my triumphs, and their plight was a segue for my purpose.
My friend, you do not have to be black to appreciate Black History Month, because black history is in actuality, a story about people, a people who persevered amidst grave danger and adversity, but never gave up. Black history is about standing up, and speaking out. Everyone can identify with these things, for overcoming obstacles is a battle for all humanity, whether we are black, white, Hispanic, or Asian.
Some would argue that viewing Black History Month in this regard dilutes the strength of its purpose, to that I would say, not so. For nothing can erase the fact that it was the sweat, blood and tears from African people toiling in the fields as slaves, being beaten unmercifully that helped to make this country great. We are in the Mayor's Offices, the State Houses, and The White House, making history each and every day, that is an undeniable fact.
My friend let's learn to celebrate with one another, and teach our children to do so. Make the time to educate yourself during the remainder of the month to learn something new about black history.


text:
WADHAMS - More and more North Country families are taking advantage of a program that gives them access to fresh produce and supports local farms.
As the demand for local food grows, an increasing number of local farms are offering their goods as a CSA.
"For the farmer, a CSA is a great way to sell their product," said Anita Deming, executive director of Cornell Cooperative Extension of Essex County.
CSA, short for Community Supported Agriculture, is a system of farming and food distribution where producers and consumers share the risk of production.
In most CSA models, members agree to buy "shares" at a certain up-front cost in the early spring. In exchange, they receive weekly portions of fresh produce during the growing season. The size of the portions and variety of produce is based on what the farmer is able to grow.
"The buyer gets a good deal," said Deming, noting how the food ends up being less expensive than it would be at a farmer's market.
"Rather than being raised for shipping, it's raised for flavor," Deming added. "You can also make input to the farmer about what you want them to grow."
Adam Hainer owns and operates Juniper Hill Farm in Wadhams, one of several farms in the area that have switched to CSA as their main form of operation.
Hainer said receiving payment in early spring - normally the time he purchases seed - saves him from having to seek annual production loans like many other farmers.
More importantly, Hainer can grow his crops with the advance knowledge that someone wants to consume them.
"It's nice to look at growing things if people really care about the end result," he said.
Hainer grows 30 varieties of organic vegetables and fruits on Juniper Hill's 10 acres, tailoring production to the demands of CSA members.
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Below is the poem entitled Words Left Unsaid... which was written by poet
Smith. Please feel free to comment on this poem. However, please remember, PoetrySoup is a place of encouragement and growth.
Read Poems by
Ashley Smith
Smiling to these unfamiliar faces
Never showing signs or traces
Of how she truly feels inside
The girl whose feelings she'll always hide
Barriers she built so long ago
Have yet to be touched, for no one can know
To try and open up seems such a difficult feat
So she'll keep her heart and mind discrete
She longs to scream and let others know
How she feels like her life has reached a plateau
She's yearning for love, for something more
But feelings on her sleeve, she's never wore
Vulnerability is the scariest word she could hear
For being loved and left is by far her worst fear
People come and go, but the ones who stay
Are the very ones she tries to push away
She finds comfort in being simplistic
Her views on the world are disturbingly realistic
She understands people and how they can be
So she chooses to live her life privately
Regardless of emotions she chooses to show
And through her actions and motives people try to construe
Yet, when night falls and she rests her head
She doesn't long for the world, just for words left unsaid


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Real-Deal Khao Soi Gai (Northern Thai Coconut Curry Noodle Soup With Chicken)
Rich, creamy, and packed with uncompromising flavor from a slew of aromatics and shrimp paste, this classic Northern Thai soup combines tender braised chicken in a coconut-y curry broth with boiled and fried noodles. Our version is the real deal, straight from the streets of Chiang Mai. More


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MYRTLE BEACH, S.C. — A Virginia woman has died after a motorcycle crash in South Carolina that killed her husband last week.
Horry County officials say 36-year-old Stephanie Weeks, of Blacksburg, Va., died late Saturday morning.
Her husband, 43-year-old Thomas Weeks III, died Friday afternoon in the crash involving a sports utility vehicle on the U.S. 17 Bypass. Myrtle Beach police say two other people were sent to the hospital.
Police say it appears the 3-wheeled motorcycle the couple was on crossed into the oncoming lane of traffic and collided with the SUV.
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When you visit our Ocala dentist office, your smile is our top priority. Dr. Lawrence Sutton and his team are dedicated to providing you with the personalized, gentle care that will preserve and enhance your smile and dental health - in an atmosphere that will give you a reason to smile. Dr Sutton is committed to your dental health. His office has the credentials, skill, and technology to handle your Dental Needs and your Dental Emergencies.
Part of our commitment to serving our patients involves providing information that helps them to make more informed decision about their oral health needs. Dr Sutton and his team make it a point to offer the best Dental Technology available. From Dental Implants and Hybrid Dentures to the smallest restorations, we take pride in taking care of our patients. The golden rule always governs how we treat our patients! This website is a resource we hope you'll find both useful and interesting and that you'll return to often.
As you browse through our website, be sure to give us a call if you have any questions or would like to schedule an appointment. We look forward to hearing from you.
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It's exhausting looking for a fantasy, isn't it?
At the start of this episode of What Chilli Wants, Chilli and Tionna go over her list while gazing wistfully into an aquarium.
I see a metaphor here: There are lots of fish in the sea, but they all stink to Chilli. We also learn that her list has expanded. The future Mr. Chilli must be:
— Funny
— Gorgeous
— Superfine with a six-pack (really, two things, but you can't say they're not related)
— Has to have nice lips
— He can't drink
— Or smoke
— Or eat pork
— He can't be hard-headed
As a teetotaler herself, she probably doesn't realize that men who never drink or smoke are usually also uptight and hardheaded. But whatever, that could make a good match.
Notice that the job and penis requirements have been removed from the list, for now. Last week's premiere had enough penis talk for the season.
Tionna will respect the list, but interviews that "sometimes you've got to do things you never did to get things you never had." She's not talking about para-sailing or pork-eating, she's talking about compromise.
The first man of significance is Braves pitcher Mike Gonzales.
This is Chilli's reaction to meeting him:
Professional athletes are TLC's catnip — and Kryptonite. But it takes a hot man to unfurrow or raise Chilli's brows. She is at a Braves game to throw out the first pitch. And to find a date:
Too far. Too, too far. This looks like those ads in the back of the Village Voice, or the fliers you get on the street in Vegas. Chilli on a platter, basically.
Chilli retreats to a private box with her friends while Tionna interviews the men brave enough to answer a personal ad on a JumboTron. She asks one guy if he's well-endowed, and another if he's in the country illegally. Kinda makes you want your own dating coach, so you wouldn't have to bring up the uncomfortable stuff on your own. There are so many unanswered questions about this guy, and you only need to see this photo to have about 15 of your own:
So Dolvett is the only winner out of the bunch. He has a six-pack, and this smile…
…which isn't on the list, but is a very good sign if you're looking for a non-smoker.
Now Dolvett's the meat on the platter, which Tionna serves up to Chilli. It is awkward for everyone. In fact, it's hard to tell who it's more embarrassing for: Dolvett or Chilli. Certainly not Tionna though.
"Don't get me wrong, Dovett is not bad-looking…" Chilli says. Tionna gets immediately defensive and leave the room. "Try to come at me? But I'm from Brooklyn, I don't play that," Tionna says, to no one in particular. It's true, no one in Brooklyn takes constructive criticism well. It's part of our borough identity.
Tionna tries once again to get Chilli to go out with Dolvett, who happens to be one of Atlanta's most eligible bachelors, according to what I'm sure is a very respected local website.
One of his accomplishments listed in the article is that he has a recurring role on Tyler Perry's House Of Payne, what I'm sure is a very respected TV show. So he's an actor too. A wannabe actor on a reality show? Check and check. Chilli seems really open and responsive to the idea of leaving her comfort zone:
But first Chilli goes skating with Floyd, her "friend."
Floyd brings his own skates to the rink, as Chilli notices. But I noticed that he brings his own stuff everywhere, whether that's silverware or skates. But they're Prada light up skates, which just need to be worn. You're really depriving people if you don't let them see these things in action:
Will this be one of those shows where the main character goes searching for love all over, just to discover it was under her nose the whole time? Based on this alone:
I will say yes.
Back to Dolvett. Chilli says maybe Tionna saw something in Dolvett that she didn't. Tionna saw this:
But it's not enough to keep Chilli interested. First turnoff: Dolvette has a 13-year-old son in Virginia, but he doesn't talk to him every day. Unacceptable for Chilli. Really though, what teenager wants to talk to their parents every day? There are 13-year-olds around the country not talking to their parents in their house, never mind in another state. On further inspection…
…he's also too smooth. "You got the 1-900 voice," Chilli says. She's learning that a gorgeous guy with a job, a six-pack, and (possibly?) a big penis might also have an ego problem.
Dolvett takes her to a 50-foot-high rope course, and she's afraid to walk across, but he encourages her to look at him. This is actually very clever, since it puts her in a position of vulnerability and trust on their first date. I think we have a Gamer on our hands. And Chilli sees right through it.
Tionna sits down with Dolvett the next day to get his perspective on the date. His perspective on the date:
According to Dolvett, Chilli was guarded and defensive. "Judgmental," Tionna adds. Chilli now has her own checklist to work on.
Chilli invites her girlfriends and Tionna over. And, yes! One of those friend is this woman:
…who I have seen far too little of these past long years. So thank you, Chilli.
It's a girl's night in, and Chilli has a stripper over for their entertainment. TLC must have bounced back after declaring bankruptcy all those years ago, because Chilli has the money to hire the world's only robot stripper. Very realistic:
A stripper of any kind is unexpected, since Chilli seems a little too conservative for home delivery strippers, no? Missy Elliott runs out of the room, but Tionna enjoys it:
Missy keeps trying to get Chilli to admit that she likes Floyd as more than a friend. She finally does, but she doesn't look happy about it.
And neither does Tionna…
…since it'll mean she's out of a job. Brooklyn: We Go Home.
Related content
Our exclusive video interview with Chilli
What Chilli Wants show page
What Chilli Wants videos and extras


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This is a discussion on Looking to see if this poll/thread get spam'd???? within the New Member Hangout forums, part of the Community - Meet other Enthusiasts category; Nws/pg13...
Last edited by Weasel 555; 01-07-2008 at 05:34 AM.
The spammers are like flies to **** with this thread.
This message printed on 100% recycled electrons.
Hi there,
if anyone is intrested, there is a a new website and they have the entire database for family research of the United Kingdom.
Just thought to let you know,
Last edited by Weasel 555; 01-07-2008 at 01:22 PM. Reason: spam
WRX Info Links, Courtesy TheJ
Man is a brute.... If you're cruel to him, he respects and fears you. If you're kind to him, he plucks your eyes out. Alexis Zorbas
I lied. I cheated. I bribed men to cover the crimes of other men. I am an accessory to murder. But the most damning thing of all... I think I can live with it. And if I had to do it all over again - I would. Benjamin Sisko
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No way. I've never noticed that polls get more spam. This is nuts.
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Bye bye ...
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