A Genetic-Algorithms Matrix-Factorization-Based Recommender System Model Using Tags

Recommender systems (RSs) are useful technology that can alleviate the problem of overload of information provided to users. In this research, we build a new RS, and we name it ETagMF. ETagMF is an Evolutionary-based Tags-based Matrix Factorization (MF) model. Recently, researchers have introduced s...

Full description

Bibliographic Details

Published in:	IEEE Access
Main Authors:	Manal Almaayah, Yousef Kilani, Ayoub Alsarhan, Mohammad Aljaidi, Mohammed Alshammari, Aadil Alshammari
Format:	Article
Language:	English
Published:	IEEE 2025-01-01
Subjects:	Latent factor model matrix factorization collaborative filtering genetic algorithms genome tags
Online Access:	https://ieeexplore.ieee.org/document/10921641/