International Journal of Advanced Research in IT and Engineering
  • Year: 2016
  • Volume: 5
  • Issue: 6

A review: Comparative study of content based and collaborative filtering approach

  • Author:
  • Anu Taneja
  • Total Page Count: 8
  • Page Number: 1 to 8

Assistant Professor, BCIIT, GGSIPU, Delhi

Online published on 1 August, 2018.

Abstract

As the information on the web is increasing, it is becoming difficult for users to choose the right option. So recommendation systems are developed to guide the users in selecting the best option. In this paper we did comparative analysis of recommendation approaches i.e. content based and collaborative filtering approach in which we mainly focused on which approach outperforms other and under what situations, what are the major application areas and the research challenges faced in this domain.

Keywords

Recommendation System, Content-Based, Collaborative Filtering, Hybrid Recommendation Systems, E-Commerce