BVAE: Behavior-aware Variational Autoencoder for Multi-Behavior Multi-Task Recommendation-Reference-Cited by-同舟云学术

BVAE: Behavior-aware Variational Autoencoder for Multi-Behavior Multi-Task Recommendation

Published:2023-09-14 Issue: Volume: Page:
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Container-title:Proceedings of the 17th ACM Conference on Recommender Systems
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Author:

Rao Qianzhen¹^ORCID,Liu Yang¹^ORCID,Pan Weike¹^ORCID,Ming Zhong¹^ORCID

Affiliation:

1. College of Computer Science and Software Engineering, Shenzhen University, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3604915.3608781

Reference38 articles.

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3. A Survey on Heterogeneous One-class Collaborative Filtering

4. Zhao Chen , Vijay Badrinarayanan , Chen-Yu Lee , and Andrew Rabinovich . 2018 . Gradnorm: Gradient normalization for adaptive loss balancing in deep multitask networks . In Proceedings of the 10th International Conference on Machine Learning(ICML’18) . 794–803. Zhao Chen, Vijay Badrinarayanan, Chen-Yu Lee, and Andrew Rabinovich. 2018. Gradnorm: Gradient normalization for adaptive loss balancing in deep multitask networks. In Proceedings of the 10th International Conference on Machine Learning(ICML’18). 794–803.

5. Stochastic-Expert Variational Autoencoder for Collaborative Filtering

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