Deep matrix factorization via feature subspace transfer for recommendation system

• Published in: Complex & intelligent systems Vol. 10; no. 4; pp. 4939 - 4954
• Main Authors: Wang, Weichen, Wang, Jing
• Format: Journal Article
• Language: English
• Published: Cham Springer International Publishing 01.08.2024; Springer Nature B.V; Springer
• Subjects: Complexity; Computational Intelligence; Cross-domain recommendation; Data Structures and Information Theory; Deep matrix factorization; Engineering; Factorization; Feature subspace transfer; Original Article; Recommender systems; Representations; Semi-autoencoder; Subspaces; Versatility; Deep matrix factorization; Cross-domain recommendation; Feature subspace transfer; Semi-autoencoder

The sparsity problem remains a significant bottleneck for recommendation systems. In recent years, deep matrix factorization has shown promising results in mitigating this issue. Furthermore, many works have improved the prediction accuracy of deep matrix factorization by incorporating the user’s an...