In this paper we present a novel recommendation system for e-commerce websites using social network knowledge base that uses certain parameters provided by users viz. age group, gender, location etc.

Commonly, a single account is used by only one user when interacts with a recommender system. In fact ... It has been tested using BookCrossing and Amazon Review datasets and it generates ...