9. A methodology that facilitates evaluation of search performance, comprising: obtaining a search history associated with a search system that searches a data set; analyzing at least one group of similar queries within the search history, the at least one group of similar queries being issued by disparate search system users; identifying a mapping recommendation that relates the at least one group of similar queries issued by the disparate search system users to an accepted asset within a data collection when at least one query in the set of search queries appears in a session that leads to the accepted asset, wherein the at least one query is within a session comprising a plurality of queries, the at least one query comprising at least one previous query made prior to a subsequent query, the subsequent query resulting in the retrieval of an accepted asset in the session, wherein the at least one previous query does nor result in the retrieval of the accepted asset, wherein the mapping indicates a relationship between the at least one group of similar queries and the accepted asset where the at least one group of similar queries would not otherwise be associated with the accepted asset; determining a potential modification designed to enhance user satisfaction with the search system as a function of the analysis of the group of similar queries; and generating a confidence value based upon the amount of support for the mapping within the search data that reflects probable user satisfaction associated with the mapping recommendation, wherein the mapping recommendation is categorized based upon the confidence value, wherein the mapping recommendation is implemented automatically by the search system when the mapping recommendation has a high confidence value, wherein the mapping recommendation is included in recommendations to content providers by the search system when the mapping recommendation has a mid-range confidence value and wherein the mapping recommendation is identified for further evaluation by the search system when the mapping recommendation has a relatively low confidence value.
9. A methodology that facilitates evaluation of search performance, comprising: obtaining a search history associated with a search system that searches a data set; analyzing at least one group of similar queries within the search history, the at least one group of similar queries being issued by disparate search system users; identifying a mapping recommendation that relates the at least one group of similar queries issued by the disparate search system users to an accepted asset within a data collection when at least one query in the set of search queries appears in a session that leads to the accepted asset, wherein the at least one query is within a session comprising a plurality of queries, the at least one query comprising at least one previous query made prior to a subsequent query, the subsequent query resulting in the retrieval of an accepted asset in the session, wherein the at least one previous query does nor result in the retrieval of the accepted asset, wherein the mapping indicates a relationship between the at least one group of similar queries and the accepted asset where the at least one group of similar queries would not otherwise be associated with the accepted asset; determining a potential modification designed to enhance user satisfaction with the search system as a function of the analysis of the group of similar queries; and generating a confidence value based upon the amount of support for the mapping within the search data that reflects probable user satisfaction associated with the mapping recommendation, wherein the mapping recommendation is categorized based upon the confidence value, wherein the mapping recommendation is implemented automatically by the search system when the mapping recommendation has a high confidence value, wherein the mapping recommendation is included in recommendations to content providers by the search system when the mapping recommendation has a mid-range confidence value and wherein the mapping recommendation is identified for further evaluation by the search system when the mapping recommendation has a relatively low confidence value. 10. The methodology of claim 9 , further comprising: selecting a candidate query from the search history; identifying a group from the at least one group of queries, wherein the candidate query is a member of the identified group; and determining a score that reflects the utility of a mapping of the candidate query to an asset within the data set, wherein the score is based at least in part upon support related to the identified group of queries.