Identifying meaningful recommendation partners in collaborative filtering framework for improved recommendations

Abstract

Internet today has surrounded the users with its symbolic problem of information overload where a consumer has far more than the required choices. In the realm of e-commerce industry, recommender systems (RS) utilize the information filtering technology to proactively handle 'information overload', the ubiquitous problem in cyberspace.