Matrix factorization in recommender systems: algorithms, applications, and peculiar challenges
FO Isinkaye - IETE Journal of Research, 2023 - Taylor & Francis
Traditional Collaborative filtering (CF) is one of the techniques of recommender systems that
has been successfully exploited in various applications, but sometimes they fail to provide …
has been successfully exploited in various applications, but sometimes they fail to provide …
Enhancing Cold-Start Recommendations with Innovative Co-SVD: A Sparsity Reduction Approach
M Loukili, F Messaoudi - Statistics, Optimization & Information …, 2025 - iapress.org
This research introduces a novel methodology to enhance recommendation systems,
specifically targeting the challenging cold-start problem. By creatively combining …
specifically targeting the challenging cold-start problem. By creatively combining …
Graph Neural Network based Recommender System
With the rapid rise of online content, Recommender Systems are becoming increasingly
important in reducing information overload. Because of the important technology worth of …
important in reducing information overload. Because of the important technology worth of …
[引用][C] Effectiveness of Using Autoencoder Method on Recommender System in E-Commerce Domains
JCAP Putra, ZKA Baizal - JURNAL MEDIA INFORMATIKA BUDIDARMA, 2023