A review on recommender systems
36 Citations•2017•
Farhin Mansur, Vibha Patel, Mihir Patel
2017 International Conference on Innovations in Information, Embedded and Communication Systems (ICIIECS)
No TL;DR found
Abstract
Recommender systems have turn into an important recommendation technique on the web and are widely used for recommendation of different items. On web huge amount of data is available online, the need of analysis and personalization systems is increasing permanently. This paper presents introduction to the categories of recommender systems and different recommendation techniques are mainly classified into three categories: collaborative filtering, content based filtering and hybrid filtering. This paper also discusses challenges of recommender system. Every method has its weakness and strengths that relate to the domain.