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System and method for measuring and improving search result relevance based on user satisfaction

机译:基于用户满意度的度量和提高搜索结果相关性的系统和方法

摘要

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. A performance report for the search system based, at least in part, on the user satisfaction and the diagnostics may be generated. Such a report may be analyzed to determine methods for improving the relevance of results generated by the search system.
机译:公开了用于基于用户满意度来测量和改善搜索结果相关性的系统和方法。优选地,扫描事件日志以确定会话的开始和结束。优选地识别会话内的用户行为。优选地,基于用户行为来估计用户满意度。用户满意度优选地是用户对基于其行为的结果与其意图相关的程度的感知的量度。优选地,用户满意度被估计为三个满意度水平之一:满意,部分满意和不满意。优选地,基于用户行为和用户满意度来观察症状,该症状指示搜索系统内需要改进。诊断是作为阻止搜索系统最佳运行的条件,最好根据这些症状得出。可以至少部分地基于用户满意度和诊断来生成搜索系统的性能报告。可以分析这样的报告以确定用于改善由搜索系统生成的结果的相关性的方法。

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