Graph Network based Approaches for Multi-modal Movie Recommendation System

Author:

Chakder Daipayan1,Mondal Prabir1,Raj Subham1,Saha Sriparna1,Ghosh Angshuman2,Onoe Naoyuki2

Affiliation:

1. Indian Institute of Technology Patna,Department of Computer Science and Engineering

2. Sony Research India

Funder

Sony

Publisher

IEEE

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Optimizing Movie Selections: A Multi-Task, Multi-Modal Framework with Strategies for Missing Modality Challenges;Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing;2024-04-08

2. Impulsion of Movie’s Content-Based Factors in Multi-modal Movie Recommendation System;Communications in Computer and Information Science;2023-11-26

3. An overview of video recommender systems: state-of-the-art and research issues;Frontiers in Big Data;2023-10-30

4. A Multi-modal Multi-task based Approach for Movie Recommendation;2023 International Joint Conference on Neural Networks (IJCNN);2023-06-18

5. Graph Convolutional Neural Network for Multimodal Movie Recommendation;Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing;2023-03-27

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