In this paper, we propose a complementary recommendation strategy for freshman under constraints or requirements, based on goal-oriented patterns.
One convex optimization-based framework with one L0 regularization and the constraint on the learners' characteristics was presented and demonstrated the ...
Oct 22, 2024 · ... Lin et al. [66] proposed a complementary recommendation framework for freshmen under constraints or requirements, based on goal-oriented ...
Perny P, Zucker J-D (2001) Preference-based search and machine learning for collaborative filtering: the “Film-Conseil” movie recommender system. · Aher SB, Lobo ...
Thus, this paper presents a Latent-based Temporal Optimization (LTO) approach to improve the prediction accuracy of CF by learning the past attitudes of users ...
To evaluate the proposed method, the comparison experiments were conducted between the state-of-the-art recommendation techniques and ours. Experimental results ...
Abstract: In recent decades, a variety of educational management information systems have been presented due to the increase in social requirement globally.
To bright this gap between the practical requirements and the applications, one convex optimization-based framework with one L0 regularization and the ...
An improved genetic algorithm using greedy strategy toward task scheduling optimization ... A novel recommendation system via L0-regularized convex optimization.
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Lin et al. [22] used L0 regularization to constrain the recommendation network parameters and proposed a new convex optimization method for recommendation ...