14. A computer-implemented method for updating the basis upon which a plurality of assets are searched, the method comprising: utilizing a processor that is a functional component of the computer to train a data mining classification model to statistically account for a set of query-to-asset associations, each query-to-asset association representing a connection of relevancy between a query and an asset, each query being a potential search input and each asset being an item of content; utilizing the classification model as a basis for extracting sets of search terms for each of the plurality of assets wherein utilizing the classification model to extract a set of search terms comprises: determining, based on application of the classification model, an adjusted probability value that represents a probability that a particular asset is relevant given a user search based on a first query associated with the particular asset, the adjusted probability value being calculated using a formula: 
 P adj ( a|q )= P pred ( a|q )/ P marg ( q ), where a is an asset, q is a query, P adj is the adjusted probability, and P marg is the marginal probability; and utilizing the adjusted probability value as a basis for evaluating whether to include the particular query in the set of search terms, wherein the adjusted probability value is compared to a minimum threshold value, the minimum threshold value being a selectable parameter, and wherein the particular query is eliminated if it does not meet the minimum threshold value; incorporating one of said sets of search terms into a content update for each of the plurality of assets, the content update being, added to what is considered when relevancy is evaluated during a search process, the search process returning search results that are sorted utilizing a ranking algorithm, the ranking algorithm computing a likelihood that an asset corresponding to a search term is a single asset of interest, the search results being sorted based at least in part upon likelihood rankings; and wherein, for each of the plurality of assets, incorporating one of said sets of search terms into a content update comprises inserting the set of search terms into the content of the particular asset such that the search terms will be considered by a search engine when the content of the particular asset is evaluated against a user's search input, wherein for each of the plurality of assets the search engine compares the search terms to the content of the particular asset, and wherein the search engine identifies the search results as being a set of the plurality of the assets that corresponds to the search terms.
15. The method of claim 14 further comprising penalizing the adjusted probability value if there is an indication that the first query might not be discriminative, the penalized adjusted probability value being calculated using a formula: 
 P adj ( a|q )= P pred ( a|q )*(1− P marg ( q )) c/(1-c) , where c is a configurable constant, wherein no penalty is applied upon c being set to a value of zero, and wherein a maximum penalty is applied upon c being set to a value of one.