期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2016
卷号：7
期号：4
页码：2063-2067
出版社：TechScience Publications
摘要：The recommendation systems are used in variety ofthe application for rating of products or identifying userpreferences. In this paper we present a hybridrecommendation system using different approaches such asweb content mining, web structure mining and web usagemining. An important application of the recommendationsystem is Website Personalization in which information isgathered, processed and analyzed to deliver correctinformation to each visitor at right time. The techniques usedin web mining have certain drawbacks if used independently.An integrated approach will overcome the drawbacks existingin these techniques.
关键词：Recommendation System; Usage base Page;Ranking; Markov Models; Ontology and Semantic Similarity.
