1. 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 multiple sets of query-to-asset associations, a first one of the sets in the multiple sets originating from a first source and a second one of the sets in the multiple sets originating from a second source, each query-to-asset association in the multiple sets 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, the extracting including performing a plurality of functions, the plurality of functions including calculating for each of the assets a probability of the asset given a particular search term, a minimum weight, and a minimum support value; incorporating at least one of the extracted 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 the at least one of the extracted 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.
1. 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 multiple sets of query-to-asset associations, a first one of the sets in the multiple sets originating from a first source and a second one of the sets in the multiple sets originating from a second source, each query-to-asset association in the multiple sets 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, the extracting including performing a plurality of functions, the plurality of functions including calculating for each of the assets a probability of the asset given a particular search term, a minimum weight, and a minimum support value; incorporating at least one of the extracted 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 the at least one of the extracted 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. 8. The method of claim 1 , wherein incorporating one of said sets of search terms comprises remotely transferring the one said set of search terms from a server to a client system, and wherein the data mining classifier provides, for each of the plurality of assets, a probability of the asset being relevant given a particular query.