基于信息类别的元搜索引擎设计

Desigh of Metasearch Engine Based on Information Needs

随着搜索引擎技术的发展,元搜索引擎已经成为搜索引擎的一个重要的研究方向。在传统元搜索引擎中,每次查询项提交给元搜索引擎时,元搜索引擎会选择同样的成员搜索引擎、查询项预处理算法和查询结果融合算法。这种处理方法仅考虑到用户的查询项,而没有考虑到用户所需信息的类别。这篇论文介绍了一种基于信息类别的元搜索引擎,对于用户提交的相同查询关键词,如果用户选择不同信息类别,系统会选择不同的成员搜索引擎,不同的查询项处理算法和不同的查询结果排序算法。

Under the development of search engine technology,metasearch engine is becoming an important research. When a query is submitted to a metasearch engine, decisions are made with respect to the underlying search engines to be used, what modifications will be made to the query, and how to score the results. These decisions are typically made by considering only the user＇s keyword query, neglecting the larger information need. In this paper, we describe a metasearch engine architecture that considers the user＇s information need for each decision. Users with different needs, but the same keyword query, may search different sub-search engines, have different modifications made to their query, and have results ordered differently.