文章基本信息

标题：Social Recommendation System by Online Distribution in Web Mining
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作者：P.Vignesh ; K.G.Vinoth ; Dr.K.P.Kaliyamurthie 等
期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2015
卷号：4
期号：3
页码：1720
DOI：10.15680/IJIRSET.2015.0403100
出版社：S&S Publications
摘要：E-commerce also known as electronic commerce which is the buying and selling of goods andservices, or the transmitting of funds or data, over an electronic network, primarily the Internet .Link structures amongitems within an E-commerce Web site can be regarded as a potential recommendation that helps new consumersquickly locate related products. In this paper, we propose a recommendation technique utilizing the fast diffusion andinformation sharing capability of a large customer network. The proposed method [described as the customer-drivenrecommender system (CRS)] follows the collaborative filtering (CF) principle but performs distributed and localsearches for similar neighbors over a customer network in order to generate a recommendation list. The main objectiveof the project is to develop well structured E-commerce which facilitate the customer by helping him to find what hewants in a specialized way and also aids him to choose the associated products by the method of prediction. The projectis applied in real time shopping website
关键词：E-business; fuzzy preferences; recommender systems; tree matching; web-based support system