Comparative study of recommender systems

Title

Comparative study of recommender systems

Creator

Thomas A.; Sujatha A.K.

Description

Recommendation System is a quickly progressing study area. Many new approaches are offered so far. In this particular paper we have researched on various applications of recommender system and various techniques used in recommender system like collaborative filtering, content-based filtering and hybrid filtering. Collaborative filtering is amongst the common methods utilized in recommending process. So comparative study on various collaborative filtering is done and the results are plotted graphically. 2016 IEEE.

Source

Proceedings of IEEE International Conference on Circuit, Power and Computing Technologies, ICCPCT 2016

Date

2016-01-01

Publisher

Institute of Electrical and Electronics Engineers Inc.

Subject

Content Based Filtering; Item-based Collaborative Filtering; Matrix Factorization; Recommender Systems; User-based Collaborative Filtering

Coverage

Thomas A., Dept. of CSE, Faculty of Engineering, Christ University, Bengaluru, India; Sujatha A.K., Dept. of CSE, Faculty of Engineering, Christ University, Bengaluru, India

Rights

Restricted Access

Relation

ISBN: 978-150901277-0

Format

Online

Language

English

Type

Conference paper

Identifier

https://doi.org/10.1109/ICCPCT.2016.7530304

https://www.scopus.com/inward/record.uri?eid=2-s2.0-84992130076&doi=10.1109%2fICCPCT.2016.7530304&partnerID=40&md5=55d69d690aebc54f2b5207c9683141dd