Matrix Factorization in Recommender Systems: Algorithms, Applications, and Peculiar Challenges

Author:

Isinkaye Folasade Olubusola1ORCID

Affiliation:

1. Department of Computer Science, Ekiti State University, Ado-Ekiti, Nigeria

Publisher

Informa UK Limited

Subject

Electrical and Electronic Engineering,Computer Science Applications,Theoretical Computer Science

Cited by 7 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. Exploring the effects of personalized recommendations on student’s motivation and learning achievement in gamified mobile learning framework;Education and Information Technologies;2024-01-29

2. Unleashing the Power of SVD and Louvain Community Detection for Enhanced Recommendations;2023 IEEE 15th International Conference on Computational Intelligence and Communication Networks (CICN);2023-12-22

3. Community-Based Matrix Factorization (CBMF) Approach for Enhancing Quality of Recommendations;Entropy;2023-09-20

4. Research on Deep Collaborative Recommendation Model based on Attention Mechanism;2023 16th International Conference on Advanced Computer Theory and Engineering (ICACTE);2023-09-15

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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