Enhancing Movie Recommendations through MultiModal Analysis and Contextual Dynamics

Author:

Jaiswal Priyansh1ORCID,Mowade Kaustubh Nandlal1ORCID,Anbarasu V2ORCID

Affiliation:

1. Department of Network and communication technology, SRM University, SRM Nagar, Kattankulathur, India

2. Networking and Communications, SRM Institute of Science and Technology, India

Publisher

ACM

Reference15 articles.

1. Reham Alabduljabbar; Manal Alshareef; Nada Alshareef https://ieeexplore.ieee.org/document/10121419 Time-Aware Recommender Systems: A Comprehensive Survey and Quantitative Assessment of Literature

2. Hanrui Wu; Chung Wang Wong; Jia Zhang; Yuguang Yan; Dahai Yu; Jinyi Long; Michael K. Ng https://ieeexplore.ieee.org/document/10018469 Cold-Start Next-Item Recommendation by User-Item Matching and Auto-Encoders

3. Syjung Hwang; Eunil Park; https://ieeexplore.ieee.org/document/9566476 Movie Recommendation Systems Using Actor-Based Matrix Computations in South Korea

4. Ee Yeo Keat; Nurfadhlina Mohd Sharef; Razali Yaakob; Khairul Azhar Kasmiran; Erzam Marlisah; https://ieeexplore.ieee.org/document/9791369 Multiobjective Deep Reinforcement Learning for Recommendation Systems

5. Zhu Wang; Honglong Chen; Zhe Li; Kai Lin; Nan Jiang; Feng Xia VRConvMF: https://ieeexplore.ieee.org/document/9521230 Visual Recurrent Convolutional Matrix Factorization for Movie Recommendation

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