Abstract: Systems and methods for measuring and improving search result relevance based on user satisfaction are disclosed. An event log is preferably scanned to determine the start and the end of a session. User behaviors within the session are preferably identified. User satisfaction is preferably estimated based on the user behaviors. User satisfaction is preferably a measure of the user's perception of the extent to which a result correlates to his intent based on his behaviors. User satisfaction is preferably estimated to be one of three satisfaction levels: satisfied, partially-satisfied, and dissatisfied. Symptoms, which are indications of a need for improvement within a search system, are preferably observed based on the user behaviors and the user satisfaction. Diagnostics, which are conditions that prevent a search system from performing optimally, are preferably derived based on the symptoms.

Abstract: Context-based user feedback is gathered regarding searches performed on a search mechanism. The search mechanism is monitored for user behavior data regarding an interaction of a user with the search mechanism. The response data provided by the search mechanism is also monitored. Context data (describing the search) and user feedback data (the user's feedback on the search—either explicit or implicit) are determined. This can be used, for example, to evaluate a search mechanism or to check a relevance model.