DefinePK

Abstract

Social networks have become an inevitable part of today’s life. The content from social media can be used for a number of purposes; one of the main being recommendation systems (RS). Traditional recommendation systems ignored the concept of social media and its influence on people. There have been a lot of RS in industry since the last decade. In this paper, we have proposed a new system called Service Recommendation in Social Networks (SRSN) based on a keyword approach which overcomes the drawbacks of current generation of RS. It utilizes the concept of user based collaborative filtering algorithm (UCF) in generating recommendations. SRSN is designed to work in big data environments as it is implemented in Hadoop, a map reduce paradigm.