Personalized Latent Structure Learning for Recommendation
In recommender systems, users' behavior data are driven by the interactions of user-item latent factors. To improve recommendation effectiveness and robustness, recent advances focus on latent factor disentanglement via variational inference. Despite significant progress, uncovering the underly...
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Détails bibliographiques
| Publié dans: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 45(2023), 8 vom: 24. Aug., Seite 10285-10299
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| Auteur principal: |
Zhang, Shengyu
(Auteur) |
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| Autres auteurs: |
Feng, Fuli,
Kuang, Kun,
Zhang, Wenqiao,
Zhao, Zhou,
Yang, Hongxia,
Chua, Tat-Seng,
Wu, Fei |
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| Format: | Article en ligne
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| Langue: | English |
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| Publié: |
2023
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| Accès à la collection: | IEEE transactions on pattern analysis and machine intelligence
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| Sujets: | Journal Article |
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