文章基本信息

标题：Collaborative Filtering Based On Search Engine Logs
本地全文：下载
作者：DR.A.MUTHU KUMARAVEL ; MR. KANNAN SUBRAMANIAN
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：2014
卷号：2
期号：1
出版社：S&S Publications
摘要：Search engines come roughly equivalent results for an equivalent question, despite the user's real interest. To extend the relevancy of search results, personalized search engines produce user profiles to capture the users' personal preferences and intrinsically determine the particular goal of the input question. An honest user identification strategy is an important and elementary element in program personalization. The user identification ways area unit evaluated and compared with our antece dently projected personalized question cluster methodology. During this project, we tend to specialize in program personalization and develop many concept - based user identification strategies that area unit supported each positive and negative preferences. user profiles that capture each the user's positive and negative preferences. Negative preferences improve the separation of comparable and dissimilar queries that facilitates associate agglomerate cluster rule to make a decision if the best clusters are obtained