文章基本信息

标题：Mining Web Graphs for Recommendations
本地全文：下载
作者：Sanghvi, D. ; Shah, R ; Pande, S 等
期刊名称：International Journal of Electronics Communication and Computer Engineering
印刷版ISSN：2249-071X
电子版ISSN：2278-4209
出版年度：2014
卷号：5
期号：2
页码：351-353
出版社：IJECCE
摘要：Recommendation techniques have become increasingly essential. The different kinds of recommendations are made on the Web workaday, including images, music, books recommendations, query suggestions, etc. This paper, providing a common framework on mining Web graphs for recommendations using heat diffusion method, first propose a Recommendation algorithm the algorithm aggregates items from these similar customers eliminates items the user has already rated, and recommends the remaining items to the user. Which propagates similarities between different recommendations like image recommendation, the proposed algorithm can be utilized in many recommendation tasks on the World Wide Web, including image recommendations, etc. The observational Analysis on huge datasets shows the promising future of our work
关键词：Diffusion; Collaborative Filtering; Image Recommendation; Query Suggestion; Recommendation