Recommender Systems - A Numerical Approach

Authors

  • Nishtha Srivastava  Department of Computer Science, Vadodara Institute of Engineering, Baroda, Gujarat, India

Keywords:

Prediction, Information Retrival, Collaborative Filtering, Ratings

Abstract

The recommender systems are predictions of what we search on internet. For example , if we do online shopping on some shopping website , it will show us that product’s recommendations on another web page for example face book. This document basically talks about how these predictions/recommendations are made.

References

  1. G Kyoungro Yoon, Senior Member, IEEE, Jonghyung Lee, and Min-Uk Kim, “Music Recommendation System Using Emotion Triggering Low-level Features. IEEE Transactions on Consumer Electronics, Vol. 58, No. 2, May 2012
  2. Recommender Systems by Prem Melville and Vikas Sindhwani IBM T.J. Watson Research Center, Yorktown Heights, NY 10598

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

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Published

2017-12-31

Issue

Volume 2, Issue 6, November-December-2017

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

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

How to Cite

[1]
Nishtha Srivastava, " Recommender Systems - A Numerical Approach, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 6, pp.1251-1253, November-December-2017.