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HCF-MFGB:Hybrid Collaborative Filtering Based on Matrix Factorization and Gradient Boosting

Salahudin Robo Triyanna Widiyaningtyas Wahyu Sakti Gunawan Irianto

Computers, Materials & Continua2026，Vol.86Issue(2)：P.1630-1648,19.

Computers, Materials & Continua2026，Vol.86Issue(2)：P.1630-1648,19.DOI:10.32604/cmc.2025.073011

HCF-MFGB:Hybrid Collaborative Filtering Based on Matrix Factorization and Gradient Boosting

Salahudin Robo ¹Triyanna Widiyaningtyas ²Wahyu Sakti Gunawan Irianto²

作者信息

1. Department of Electrical Engineering and Informatics,Faculty of Engineering,Universitas Negeri Malang,Malang,65145,Indonesia Department of Information Systems,Universitas Yapis Papua,Jayapura,99115,Indonesia
2. Department of Electrical Engineering and Informatics,Faculty of Engineering,Universitas Negeri Malang,Malang,65145,Indonesia
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摘要

关键词

Recommendation systems/hybrid collaborative filtering/SVD++/XGBoost/K-Means clustering/user demographics/meta item

分类

信息技术与安全科学

引用本文复制引用

Salahudin Robo,Triyanna Widiyaningtyas,Wahyu Sakti Gunawan Irianto..HCF-MFGB:Hybrid Collaborative Filtering Based on Matrix Factorization and Gradient Boosting[J].Computers, Materials & Continua,2026,86(2):P.1630-1648,19.

基金项目

funded by the Directorate General of Research and Development,Ministry of Higher Education,Science and Technology of the Republic of Indonesia,with grant number 2.6.63/UN32.14.1/LT/2025. （）

Computers, Materials & Continua

ISSN：1546-2218

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