A Survey on Various Techniques for Personal Movie Recommendation

Authors

  • Sonal Babu  M. Tech Scholar, Department of Computer Science and Engineering, Government Engineering College, Idukki, Kerala, India
  • Dr. Madhu K P  Associate Professor, Department of Computer Science and Engineering, Idukki, Kerala, India

DOI:

https://doi.org//10.32628/IJSRSET207143

Keywords:

Recommendation Techniques, Optimization Algorithms, Multiarmed Bandit Algorithm

Abstract

Recommendation system plays an important role in helping users to find appropriate products and contents they usually want. There are various recommendation techniques for recommending items to users. These recommendations can be optimized to be more accurate by means of optimization algorithms. This paper focuses on survey of such recommendation techniques and optimization algorithms in the personalized movie recommendation domain. The comparative evaluation of recommendation techniques is also done. This paper gives an insight into recommendation system, various recommendation techniques and optimization algorithms. Collaborative filtering technique along with time varying multiarmed optimization algorithm will give most appropriate recommendations.

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International Journal of Scientific Research in Science, Engineering and Technology

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Published

2020-02-29

Issue

Volume 7, Issue 1, January-February-2020

Section

Research Articles

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Sonal Babu, Dr. Madhu K P, " A Survey on Various Techniques for Personal Movie Recommendation, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 7, Issue 1, pp.156-163, January-February-2020. Available at doi : https://doi.org/10.32628/IJSRSET207143