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B. Sriram
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- PG Student, Department of Artificial Intelligence and Data Science, Sri Manakula Vinayagar College of Engineering and Technology, Puducherry, India
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Abstract
nNo matter their age, gender, race, color, or region, everyone enjoys watching films particularly during festival season. We are all, in the most basic sense, connected to one another through this beautiful medium, but what really grabs notice is the fact that, regardless of how unique our choices and combinations are in terms of picture show preference, one thing remains constant. Certain people have a preference for certain types of movies, such as romance, sci-fi, or thrillers. Others focus on lead actors and administrators, in contrast. Having said that, a certain segment of the public continues to enjoy seeing such films. In this paper, the recommendation towards seasonal based such as Christmas eve, New year, Valentine’s Day, Independence Day, Halloween, etc., using hybrid approach with user interest in the various OTT (over-the-top) platform.
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Keywords: Recommendation System, Seasonal, Hybrid Approach, OTT Platform
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References
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[1] Sharma N, Dutta M. Movie Recommendation Systems: a brief overview. InProceedings of the 8th International Conference on Computer and
Communications Management 2020 Jul 17 (pp. 59-62).
[2] Singh RH, Maurya S, Tripathi T, Narula T, Srivastav G. Movie recommendation system using cosine similarity and KNN. International
Journal of Engineering and Advanced Technology. 2020 Jun;9(5):556-9.
[3] Kashyap A, Sunita B, Srivastava S, Aishwarya PH, Shah AJ. A movie recommender system: MOVREC using machine learning techniques.
International Journal of Engineering Science and Computing. 2020;10(6).
[4] Kumar M, Yadav DK, Singh A, Gupta VK. A movie recommender system: Movrec. International journal of computer applications. 2015 Jan 1;124(3).
[5] Tejaswi GV, Krishna SR, Madhuri GL, Prasanna C. A Framework to Enhance the Movie Recommendation System by Using Data Mining. 2021;5(3):47-60.
[6] Nakhli RE, Moradi H, Sadeghi MA. Movie recommender system based on percentage of view. In2019 5th Conference on Knowledge Based Engineering and Innovation (KBEI) 2019 Feb 28 (pp. 656-660). IEEE.
[7] Wang G, Liu H. Survey of personalized recommendation system. Jisuanji Gongcheng yu Yingyong(Computer Engineering and Applications). 2012 Mar 1;48(7):66-76.
[8] Peng X, Liangshan S, Xiuran L. Improved collaborative filtering algorithm in the research and application of personalized movie recommendations. In 2013 Fourth International Conference on Intelligent Systems Design and Engineering Applications 2013 Nov 6 (pp. 349-352). IEEE.
[9] Wu CS, Garg D, Bhandary U. Movie recommendation system using collaborative filtering. In2018 IEEE 9th International Conference on Software Engineering and Service Science (ICSESS) 2018 Nov 23 (pp. 11-15). IEEE.
[10] Sharma M, Mann S. A survey of recommender systems: approaches and limitations. International journal of innovations in engineering and technology. 2013;2(2):8-14.
[11] Agrawal S, Jain P. An improved approach for movie recommendation system. In2017 international conference on I-SMAC (IoT in social, mobile, analytics and cloud)(I-SMAC) 2017 Feb 10 (pp. 336-342). IEEE.
[12] Nagamanjula R, Pethalakshmi A. Novel Scheme for Movie Recommendation System Using User Similarity and Opinion Mining: A Recent Study. Recent Developments in Engineering Research Vol. 12. 2021 May 29:138-48.
[13] Jahrer M, Töscher A, Legenstein R. Combining predictions for accurate recommender systems. InProceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining 2010 Jul 25 (pp. 693-702).
[14] Ghai B, Dhar J, Shukla A. Multi-Level Ensemble Learning based Recommender System. Corpus ID. 2018;28239124.
[15] Wikipedia. Recommender system [Online]. Available from https://en.wikipedia.org/wiki/Recommender_system
[16] Prof. Snehal Thorave, Abhay Sharma, et al. Survey on Movie Recommendation system using Machine Learning. International Research Journal
of Modernization in Engineering Technology and Science. 2022;04(12):1182-1185.
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| Volume | 11 | |
| [if 424 equals=”Regular Issue”]Issue[/if 424][if 424 equals=”Special Issue”]Special Issue[/if 424] [if 424 equals=”Conference”][/if 424] | 01 | |
| Received | February 16, 2024 | |
| Accepted | February 27, 2024 | |
| Published | April 4, 2024 |
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