Research Article Open Access

Social Recommendation System by Online Distribution in Web Mining

Abstract

E-commerce also known as electronic commerce which is the buying and selling of goods and services, or the transmitting of funds or data, over an electronic network, primarily the Internet .Link structures among items within an E-commerce Web site can be regarded as a potential recommendation that helps new consumers quickly locate related products. In this paper, we propose a recommendation technique utilizing the fast diffusion and information sharing capability of a large customer network. The proposed method [described as the customer-driven recommender system (CRS)] follows the collaborative filtering (CF) principle but performs distributed and local searches for similar neighbors over a customer network in order to generate a recommendation list. The main objective of the project is to develop well structured E-commerce which facilitate the customer by helping him to find what he wants in a specialized way and also aids him to choose the associated products by the method of prediction. The project is applied in real time shopping website

P.Vignesh, K.G.Vinoth, Dr.K.P.Kaliyamurthie

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