Deep variational models for collaborative filtering-based recommender systems
CC BY
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| Định dạng: | Sách |
| Ngôn ngữ: | English |
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Springer
2023
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| Truy cập trực tuyến: | https://link.springer.com/article/10.1007/s00521-022-08088-2 https://dlib.phenikaa-uni.edu.vn/handle/PNK/7372 |
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oai:localhost:PNK-73722023-03-31T03:41:09Z Deep variational models for collaborative filtering-based recommender systems Jesús, Bobadilla Fernando, Ortega Abraham, Gutiérrez collaborative filtering matrix factorization CC BY Deep learning provides accurate collaborative filtering models to improve recommender system results. Deep matrix factorization and their related collaborative neural networks are the state of the art in the field; nevertheless, both models lack the necessary stochasticity to create the robust, continuous, and structured latent spaces that variational autoencoders exhibit. On the other hand, data augmentation through variational autoencoder does not provide accurate results in the collaborative filtering field due to the high sparsity of recommender systems. 2023-03-31T03:41:09Z 2023-03-31T03:41:09Z 2023 Book https://link.springer.com/article/10.1007/s00521-022-08088-2 https://dlib.phenikaa-uni.edu.vn/handle/PNK/7372 en application/pdf Springer |
| institution |
Digital Phenikaa |
| collection |
Digital Phenikaa |
| language |
English |
| topic |
collaborative filtering matrix factorization |
| spellingShingle |
collaborative filtering matrix factorization Jesús, Bobadilla Fernando, Ortega Abraham, Gutiérrez Deep variational models for collaborative filtering-based recommender systems |
| description |
CC BY |
| format |
Book |
| author |
Jesús, Bobadilla Fernando, Ortega Abraham, Gutiérrez |
| author_facet |
Jesús, Bobadilla Fernando, Ortega Abraham, Gutiérrez |
| author_sort |
Jesús, Bobadilla |
| title |
Deep variational models for collaborative filtering-based recommender systems |
| title_short |
Deep variational models for collaborative filtering-based recommender systems |
| title_full |
Deep variational models for collaborative filtering-based recommender systems |
| title_fullStr |
Deep variational models for collaborative filtering-based recommender systems |
| title_full_unstemmed |
Deep variational models for collaborative filtering-based recommender systems |
| title_sort |
deep variational models for collaborative filtering-based recommender systems |
| publisher |
Springer |
| publishDate |
2023 |
| url |
https://link.springer.com/article/10.1007/s00521-022-08088-2 https://dlib.phenikaa-uni.edu.vn/handle/PNK/7372 |
| _version_ |
1761912525241188352 |
| score |
8.891695 |