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State of the Art of Prediction and Recommender System
International Journal of Computer Applications
© 2014 by IJCA Journal
Volume 108 - Number 11
Year of Publication: 2014
|
10.5120/18959-0287 |
Bhakti Ratnaparkhi and J S Umale. Article: State of the Art of Prediction and Recommender System. International Journal of Computer Applications 108(11):38-41, December 2014. Full text available. BibTeX
@article{key:article,
author = {Bhakti Ratnaparkhi and J. S. Umale},
title = {Article: State of the Art of Prediction and Recommender System},
journal = {International Journal of Computer Applications},
year = {2014},
volume = {108},
number = {11},
pages = {38-41},
month = {December},
note = {Full text available}
}
Abstract
Recommender system is the system which gives suggestions. It takes help of prediction system to give recommendations. Prediction system will do predictions about future actions. Recommender system provides top ranked predictions as recommendations. It is very essential to do correct prediction for giving best recommendation. In order to improve quality of recommender system researchers have been trying different approaches which we are see through this survey paper.
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