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：2015
卷号：3
期号：8
DOI：10.15680/IJIRCCE.2015. 0308031
出版社：S&S Publications
摘要：In this paper web search queries are optimized using genetic algorithm based on clustered querysessions for effective Personalized Web Search. The purpose of web queries optimization is to bridge the vocabularygap between web queries and documents relevant to the queries in order to retrieve relevant documents for effectiveinformation retrieval. These optimal set of queries are used for recommendation in order to retrieve relevantdocuments for personalization of web search according to the information need of the user. Experiment was conductedon the data set of user query sessions captured in three broad domains Academics, Entertainment and Sports and theresults confirm the improvement of precision using cluster based optimal queries
关键词：Web; Information Retrieval; Search engine; Personalized Web Search; Information Scent; Clustering;Genetic Algorithm; Optimization; Crossover; Mutation.
