元搜索引擎中基于OWA算子的查询结果合成研究

Aggregation of Results Based on OWA in Meta Search Engine

元搜索引擎综合了多个搜索引擎的搜索结果,提高了搜索的覆盖率,但搜索的结果往往数目庞大,并且很多结果与用户查询并不相关,这直接影响了用户检索的质量,也提高了检索的代价。针对这一问题,提出了基于OWA算子的结果合成算法。它基于用户偏好来获得成员引擎执行某个特定类别查询的性能,采用页面反馈度来给每一个结果页面提供一个基于内容的评分,最后采用乐观OWA算子作为权重函数对结果进行了整合。实验表明,该算法提高了用户的检索效率和质量。

Meta Search engines are proposed to increase the search coverage by combining several search engines. However, the problem of the information overload becomes more severe and most returned results are irrelevant to user＇s interests. That affects the retrieval quality and increases the user cost. For settling this problem, an algorithm of results merging based on OWA is brought forward. It learns the expertness of the underlying search engines in a certain category based on the users＇ preferences. It also uses the feedback of the users＇ preferences to give a content-oriented ranking score to each result page. The decision lists of underling search engines have been fused using OWA approach and the application of optimistic operator as weight function has been investigated. Researches and experiments are carried out show the strategic can promotes the effectiveness and efficiency of retrieval.