A Review on Filtering Techniques Used for Classification of Recommender Systems

Proceedings of the International Conference on Innovative Computing & Communications (ICICC) 2020

5 Pages Posted: 1 Apr 2020

See all articles by Mohammad Muzammil Khan

Mohammad Muzammil Khan

Department of Computer Science & Engineering, SEST, Jamia Hamdard

Date Written: March 29, 2020

Abstract

This paper presents four types of filtering techniques that have been used in the recommender systems (RS). The techniques which have been taken into considerations for the study are collaborative filtering, content-based filtering, demographic filtering and knowledge-based filtering. Further, we have compared them with each other on the basis of input collection, process, and output as a recommendation.

Suggested Citation

Khan, Mohammad Muzammil, A Review on Filtering Techniques Used for Classification of Recommender Systems (March 29, 2020). Proceedings of the International Conference on Innovative Computing & Communications (ICICC) 2020, Available at SSRN: https://ssrn.com/abstract=3563557 or http://dx.doi.org/10.2139/ssrn.3563557

Mohammad Muzammil Khan (Contact Author)

Department of Computer Science & Engineering, SEST, Jamia Hamdard ( email )

Hamdard Nagar
New Delhi, New Delhi
India

HOME PAGE: http://muzzammil.xyz/?ref=ssrn

Do you have a job opening that you would like to promote on SSRN?

Paper statistics

Downloads
57
Abstract Views
208
rank
438,124
PlumX Metrics