A Hybrid Approach for Movie Recommendation based on User Behaviour

Authors

  • Minal V. Jamnekar  M. Tech Student, Department of Computer Science Engineering, G. H. Raisoni University, Amaravti, Maharashtra, India
  • Prof. Sneha U. Bohra  Maharashtra, India Department of Computer Science Engineering, G. H. Raisoni University, Amravati, Maharashtra, India

DOI:

https://doi.org/10.32628/IJSRST2183117

Keywords:

Movie Recommendation, User Behavior, Content Based Filtering Recommendation, Collaborative Filtering Recommendation, User Based Recommendation, Item Based Recommendation, Target User, Similar Users, Rating

Abstract

The propose framework carrying out a hybrid approach for the movie suggestion dependent on user behavior that upgrades the properties of the previous framework with a more up-to-date and more productive methodology that lessens the framework run time and decides thing relations with more prominent precision. To develop a hybrid model fit for making a decent proposal dependent on metadata about the movie and the behavior of the user. To assess the proposed framework on the boundary of RMSE.

References

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International Journal of Scientific Research in Science and Technology

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Published

2021-06-30

Issue

Volume 8, Issue 3, May-June-2021

Section

Research Articles

License

Copyright (c) IJSRST

Creative Commons License

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

How to Cite

[1]
Minal V. Jamnekar, Prof. Sneha U. Bohra "A Hybrid Approach for Movie Recommendation based on User Behaviour" International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011,Volume 8, Issue 3, pp.543-550, May-June-2021. Available at doi : https://doi.org/10.32628/IJSRST2183117