摘要
针对当前元搜索引擎存在的问题,提出一种个性化元搜索结果整合算法。首先对成员搜索引擎根据相应条件设定权值,对各成员搜索引擎得到的搜索结果按贡献量加权分块排序,根据用户检索词条与兴趣库和元搜索结果的文本相关度对块内搜索结果进行整合排序。实验结果表明,该算法能够满足不同用户的个性化需求,在保证了搜索结果查全率的同时提高了查准率,很大程度上改善了用户检索效果和效率。
In connection with the existing problems in search engines, this paper presents a personalized metasearch engine result integration algorithm.Firstly, this algorithm merges the search engine results into personal fusion sort with user′s interests, and then it combines the traditional multi-level matching algorithm with text relevance of search results sort integration.It shows that the algorithm is able to meet the individual needs of different users through the experimental results.This algorithm can improve the precision greatly while ensure the search results recall rate; and it improves the effectiveness and efficiency of users′ searching.
出处
《微型机与应用》
2013年第15期54-57,共4页
Microcomputer & Its Applications
关键词
个性化元搜索
多重排序
权重
排序整合
相关度
personalized metasearch
multiple sort
weights
sort integration
relevancy
