期刊名称：International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
印刷版ISSN：2278-1323
出版年度：2017
卷号：6
期号：4
页码：515-517
出版社：Shri Pannalal Research Institute of Technolgy
摘要：To assist information for finding faceted queries, a technique is explore that represents interesting facets of a query using groups of semantically related terms extracted from search results.The process of finding query facets which are in the form of multiple groups of words Or phrases will be address as a problem to explain and summarize the content covered by a query. It is assumed that the important aspects of a query are usually presented and repeated in the query’s top retrieved documents in the style of lists, and query facets can be mined out by aggregating these significant lists. Search results based on used method will simply improve the efficiency of users’ ability to find information easily. Web search queries are often multi-faceted, which makes a simple ranked list of results inadequate. So, a method is used, refer to as QDMiner, to automatically mine query facets by extracting and grouping frequent lists from free text, HTML tags, and repeat regions within top search results.
