International Journal of Science and Research (IJSR)

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

ISSN: 2319-7064

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Informative Article | Computer Technology | India | Volume 11 Issue 2, February 2022

Analysis of Recommendation System in Cloud Platform

Pushkar Pramod Wani

Abstract: A good recommendation system can recommend a group of movies to users based on their interests or the popularity of the films. The recommendation systems are important because they assist them in making good choices without requiring them to expend their time. It is difficult and expensive for programmers to build an on-premise recommendation system to automate this process as there is a massive increase in data volume which requires high computational capacity. This paper describes the deployment of a movie recommendation engine in a cloud storage environment that uses ALS algorithm and POST API. The advantage of such a deployment is the use of cloud factors in the generation of recommendations, the cloud and the cloud environment promises high availability and thus reduces downtime for recommendation services.

Keywords: Recommendation system, cloud storage, cloud computing

Edition: Volume 11 Issue 2, February 2022,

Pages: 64 - 66

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How to Cite this Article?

Pushkar Pramod Wani, "Analysis of Recommendation System in Cloud Platform", International Journal of Science and Research (IJSR), Volume 11 Issue 2, February 2022, pp. 64-66,

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