Recommender Systems - A Numerical Approach

Authors(1) :-Nishtha Srivastava

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.

Authors and Affiliations

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

Prediction, Information Retrival, Collaborative Filtering, Ratings

  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

Publication Details

Published in : Volume 2 | Issue 6 | November-December 2017
Date of Publication : 2017-12-31
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 1251-1253
Manuscript Number : CSEIT1726321
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Nishtha Srivastava, "Recommender Systems - A Numerical Approach", International 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. |          | BibTeX | RIS | CSV

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