期刊名称：International Journal of Engineering and Computer Science
印刷版ISSN：2319-7242
出版年度：2014
卷号：3
期号：7
页码：7163-7172
出版社：IJECS
摘要：Search engines are programs that search documents for specified keywords and return a list of the documents where thekeywords were found. They return long list of ranked pages, finding the relevant information related to a particular topic isbecoming increasingly critical and therefore, Search Result Optimization techniques come in to play. In this work an algorithmhas been applied to recommend related queries to a query submitted by user. Query logs are important information repositories tokeep track of user activities through the search results. Query logs contain attributes like query name, clicked URL, rank, time.Then the similarity based on Keyword and Clicked URL’s is calculated. Clusters have been obtained by combining the similaritiesof both keyword and clicked URL’s to perform query clustering. Most favored queries are discovered within every query cluster .The proposed result optimization system presents a query recommendation scheme towards better information retrieval to enhancesearch engine effectiveness to a large scale.
