A Product Recommendation System in E-Commerce from OSN

SHAIK KHADERBASHA, CH. SIVA KUMAR

Abstract


This Decade, the boundaries between e-commerce and social networking have become increasingly blurred. Lots of e-commerce web Application support the process of social login where users can sign on the websites using their social network username and password authentication such as their Twitter or Facebook accounts. Social Network users can also post their newly purchased products on microblogs with links to the e-commerce product web pages. In this paper, we propose a novel solution for cross-site cold-start product recommendation. We aim to recommend ecommerce product from e-commerce websites to users at social networking websites in “cold-start” situations.

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