期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2017
卷号：5
期号：6
页码：11674
DOI：10.15680/IJIRCCE.2017.0506118
出版社：S&S Publications
摘要：We propose an efficient system to improve users web search experiences by finding the query facetswhich summarises an important aspect of the query. Users are happy when they find the relevant information to theirquery in the top results.The important aspect of a query is usually entered by the user while searching and these aspectsare repeated in the query’s top retrieved search results in the form of lists and finally the facets are mined out byaggregating these lists. We propose the systematic approach to mine out the facets called QD miner mechanism used toextract and group the frequent lists from free texts and HTML tags. URL re-ranking shows relevancy about user searchquery.Further we analyze the problem of list duplication,the more fined query facets are retrieved by modeling finegrained similarities between the extracted lists.
