Work

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

Year: 2025

Type: article

Abstract: Recommendation systems are an integral and indispensable part of every digital platform, as they can suggest content or items to users based on their respective needs. Collaborative filtering is a technique often used in vari... | Find, read and cite all the research you need on Tech Science Press

Source: Computers, materials & continua/Computers, materials & continua (Print)

DOI: 10.32604/cmc.2025.073011

Authors: Salahudin Robo, Triyanna Widiyaningtyas, Wahyu Sakti Gunawan Irianto

Institutions: State University of Malang, Universitas Yapis Papua

Language: English

Topic: Recommender Systems and Techniques

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond

Funders: Ministrstvo za visoko šolstvo, znanost in tehnologijo, Direcció General de Recerca, Generalitat de Catalunya

OpenAlex ID: W4416129516