International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064

Downloads: 125 | Views: 209

Review Papers | Computer Science & Engineering | India | Volume 6 Issue 4, April 2017

A Review on Scale up the Performance of Collaborative Filtering Algorithm

Barkha A. Wadhvani | Sameer A. Chauhan

Abstract: Now a days everything goes digital from retail stores to Government offices. Also Digital India scheme is declared for digital empowerment where every information is digitally available. In this era of Information or Internet explosion data and choices are increases tremendously. More and more choices demands good recommendations so recommendation system came into the picture. It is very useful substitute for user to discover items or information that they might not have found by themselves easily. Collaborative filtering is the process of filtering for the information or for the patterns using techniques involving collaboration among viewpoints, multiple users or data sources etc. In Literature it is proven the most efficient technique to provide recommendations. This paper describes the techniques to scale up the performance of collaborative filtering algorithm to provide recommendation.

Keywords: Recommendation system, Scale up, Collaborative filtering algorithm, Distributed computation, Compute intensive tasks, TOPSIS, Hadoop, Cloud computing, CUDA, BigData

Edition: Volume 6 Issue 4, April 2017,

Pages: 2528 - 2533

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