Jul 30, 2012 · Collaborative filtering (CF), aiming at predicting users' unknown preferences based on observational preferences from some users, ...
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May 28, 2024 · Collaborative filtering (CF) algorithms are widely employed for personalized OLR recommendations, yet they encounter issues such as poor ...
Online learning algorithms have been extensively studied in content-based filtering [18], [19], [20], which is another major approach to recommender system.
Nov 12, 2024 · We propose a novel accelerated online learning framework for CF. Our algorithm has a accelerated capability, and its theoretical convergence rate bound is O(1/ ...
Dec 29, 2022 · In this work, a recommender system is proposed using the collaborative filtering mechanism for e-Learning course recommendation. This work is ...
Dec 29, 2022 · In this work, a recommender system is proposed using the collaborative filtering mechanism for e-Learning course recommendation.
Jan 17, 2024 · This paper proposes a collaborative filtering recommendation model of online learning resources for e-commerce logistics talent training.
Collaborative Filtering Recommendation of Online Learning Resources Based on Knowledge Association Model ...
The aim of this paper is to design and analyze novel learning algorithms for online collaborative filtering under the no-repetition constraint assumption, still ...
Jan 31, 2022 · This paper explores the collaborative filtering recommendation (CFR) of online learning resources (OLRs) based on knowledge association model.