Hybrid collaborative filtering using matrix factorization and XGBoost for movie recommendation-Reference-Cited by-同舟云学术

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Hybrid collaborative filtering using matrix factorization and XGBoost for movie recommendation

Published:2024-08 Issue: Volume:90 Page:103847
ISSN:0920-5489
Container-title:Computer Standards & Interfaces
language:en
Short-container-title:Computer Standards & Interfaces

Author:

Behera Gopal,Panda Sanjaya Kumar,Hsieh Meng-Yen,Li Kuan-Ching^ORCID

Publisher

Elsevier BV

Reference56 articles.

1. An efficient service recommendation algorithm for cyber-physical-social systems;Chen;IEEE Trans. Netw. Sci. Eng.,2021

2. Urban traffic Coulomb’s law: A new approach for taxi route recommendation;Lai;IEEE Trans. Intell. Transp. Syst.,2018

3. Recommendation system;Jacobi,2011

4. TBRS: A trust based recommendation scheme for vehicular CPS network;Liang;Future Gener. Comput. Syst.,2019

5. A keyword-aware recommender system using implicit feedback on Hadoop;Hsieh;J. Parallel Distrib. Comput.,2018

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