A Review Study on Various Recommender System Techniques

Authors

  • Piyush Anil Bodhankar  M. Tech Scholar, Department of Computer Science and Engineering, Rajiv Gandhi College of Engineering and Research, Nagpur, Maharashtra
  • Rajesh K Nasare  Assistant professor, Department of Computer Science and Engineering, Rajiv Gandhi College of Engineering and Research Nagpur

Keywords:

Recommender Systems, Data Mining, Algorithms.

Abstract

Numerous customers like to utilize the Web to find product subtleties as online surveys. Different customers and authorities give these audits. User-given audits are winding up increasingly pervasive. Recommender systems give an essential reaction to the data over-burden issue as it presents users increasingly useful and personalized data administrations. Shared sifting methods play an indispensable part in recommender systems as they create fantastic recommendations by affecting the likings of the society of comparable users.

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2019-02-28

Issue

Volume 5, Issue 1, January-February-2019

Section

Research Articles

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Piyush Anil Bodhankar, Rajesh K Nasare, " A Review Study on Various Recommender System Techniques, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 5, Issue 1, pp.568-573, January-February-2019.