基于用户反馈语义的桌面搜索分析及结果排序

M. S. Raje
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引用次数: 2

摘要

本文探讨了桌面搜索引擎中搜索结果的排序。对网页搜索和桌面搜索进行了比较,并分析了两者之间的用户行为。接下来是对现有桌面搜索工具的分析。然后,本文讨论了一种贝叶斯技术来收集用户反馈并使用它对现有搜索框架的结果进行排序。报告449个查询结果对的求值结果。结果表明,结合用户反馈可使结果排名提高7.32%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis of Desktop Search and Ranking of Their Results Based on Semantics from User Feedback
This paper explores the ranking of search results in a desktop search engine. A comparison between web search and desktop search and the respective user behaviour during them, is made. This is followed by an analysis of the existing desktop search tools. The paper then discusses a Bayesian technique to collect user feedback and use it to rank the results of existing search frameworks. The results of evaluation of 449 query-result pairs are reported. It is shown that incorporating user feedback improves the ranking of results by as much as 7.32%.
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