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Reseach Article

About Performance Evaluation of the Movie Recommendation Systems

by Shreya Agrawal, Pooja Jain
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 158 - Number 2
Year of Publication: 2017
Authors: Shreya Agrawal, Pooja Jain
10.5120/ijca2017912739

Shreya Agrawal, Pooja Jain . About Performance Evaluation of the Movie Recommendation Systems. International Journal of Computer Applications. 158, 2 ( Jan 2017), 7-10. DOI=10.5120/ijca2017912739

@article{ 10.5120/ijca2017912739,
author = { Shreya Agrawal, Pooja Jain },
title = { About Performance Evaluation of the Movie Recommendation Systems },
journal = { International Journal of Computer Applications },
issue_date = { Jan 2017 },
volume = { 158 },
number = { 2 },
month = { Jan },
year = { 2017 },
issn = { 0975-8887 },
pages = { 7-10 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume158/number2/26878-2017912739/ },
doi = { 10.5120/ijca2017912739 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:03:44.158024+05:30
%A Shreya Agrawal
%A Pooja Jain
%T About Performance Evaluation of the Movie Recommendation Systems
%J International Journal of Computer Applications
%@ 0975-8887
%V 158
%N 2
%P 7-10
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Movie recommendation systems are now becoming very popular both commercially and also in the research community, where many approaches have been proposed for providing recommendations. For more and more usage of any system, it is necessary to know about the efficiency of the system and for this reason performance evaluation of a Recommendation system is done. By doing the performance evaluation of a system, one can prove the potential of a recommendation system. The more high performance a system gives more is its worth as compared to others. And, on this basis we can get to know further research and improvement options for a system which gives rise to new advancements in the field. Indeed, movie recommendation systems have a number of properties that may affect user’s experience, such as accuracy, quality, robustness, scalability, and so forth. In this paper, various important performance evaluation metrics are reviewed and discussed.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Movie recommendation systems performance evaluation accuracy scalability quality