Comprehensive Evaluation of Matrix Factorization Models for Collaborative Filtering Recommender Systems

Author:

Bobadilla Jesús,Dueñas-Lerín Jorge,Ortega Fernando,Gutiérrez Abraham

Publisher

Universidad Internacional de La Rioja

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Computer Vision and Pattern Recognition,Statistics and Probability,Signal Processing

Cited by 5 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. Attribute community detection based on attribute edges weights fusion and graph embedding factorization;Applied Intelligence;2024-08-20

2. Overcoming Diverse Undesired Effects in Recommender Systems: A Deontological Approach;ACM Transactions on Intelligent Systems and Technology;2024-07-27

3. A Comprehensive Evaluation of Machine Learning Algorithms for Web Application Attack Detection with Knowledge Graph Integration;Mobile Networks and Applications;2024-07-19

4. A Non-centralized Federated Learning Architecture to Obtain Accurate Privacy Preserving Results;Proceedings of the 2024 10th International Conference on Computing and Artificial Intelligence;2024-04-26

5. Target-Based Versus Customer-Based Genetic Algorithms and Matrix Factorization Recommender Systems;2023 International Conference on Intelligent Computing, Communication, Networking and Services (ICCNS);2023-06-19

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