Abstract: Automated analysis of user search behavior is provided. Data on user searches is maintained in a user search database. Relevance factors are determined for each search result included in a given search session where the relevance factors provide an indication of user satisfaction with particular search results included in the session. The relevance factors for each search result are analyzed by a relevance classification module for classifying each search result in terms of its relevance to an associated search query. The result of the relevance classification may assign a relevance classification and associated confidence level to each analyzed search result as to whether the search result is acceptable, unacceptable or partially acceptable relative to the search query that resulted in the search result. Relevance classifications for each analyzed search result may be stored for future use, for example, for diagnostic analysis of the operation of a given search mechanism.

Abstract: Recommendation of related assets based on user search behavior is provided. Relevance classifications assigned to search results in association with search strings that produced the search results may be used for providing a list of one or more searchable assets that may be relevant to a given search query. All pairings of two acceptable assets contained in a given search session may be marked as “See Also” candidates. If a given pairing appears in a search session more than a configurable threshold, the assets in the pairing may be established as “See Also” relationships. Subsequently, when a user conducts a search that produces a search result that is a member of a pairing established as a “See Also” relationship, the other asset in the pairing may be recommended to the searching user within the destination search result page after the user selects the search result for viewing.

Abstract: Automated analysis of user search behavior is provided. Data on user searches is maintained in a user search database. Relevance factors are determined for each search result included in a given search session where the relevance factors provide an indication of user satisfaction with particular search results included in the session. The relevance factors for each search result are analyzed by a relevance classification module for classifying each search result in terms of its relevance to an associated search query. The result of the relevance classification may assign a relevance classification and associated confidence level to each analyzed search result as to whether the search result is acceptable, unacceptable or partially acceptable relative to the search query that resulted in the search result. Relevance classifications for each analyzed search result may be stored for future use, for example, for diagnostic analysis of the operation of a given search mechanism.

Abstract: Recommendation of related assets based on user search behavior is provided. Relevance classifications assigned to search results in association with search strings that produced the search results may be used for providing a list of one or more searchable assets that may be relevant to a given search query. All pairings of two acceptable assets contained in a given search session may be marked as “See Also” candidates. If a given pairing appears in a search session more than a configurable threshold, the assets in the pairing may be established as “See Also” relationships. Subsequently, when a user conducts a search that produces a search result that is a member of a pairing established as a “See Also” relationship, the other asset in the pairing may be recommended to the searching user within the destination search result page after the user selects the search result for viewing.