Multi-gate Mixture-of-Contrastive-Experts with Graph-based Gating Mechanism for TV Recommendation
Author:
Affiliation:
1. China Mobile Research Institute, Beijing, China
2. China Mobile Research Institute, Xi'an, China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3583780.3615488
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3. ITEM2VEC: Neural item embedding for collaborative filtering
4. Daniel Bis , Maksim Podkorytov , and Xiuwen Liu . 2021 . Too much in common: shifting of embeddings in transformer language models and its implications . In Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 5117-- 5130 . Daniel Bis, Maksim Podkorytov, and Xiuwen Liu. 2021. Too much in common: shifting of embeddings in transformer language models and its implications. In Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 5117-- 5130.
5. Rich Caruana. 1997. Multitask learning. Machine learning 28 41--75. Rich Caruana. 1997. Multitask learning. Machine learning 28 41--75.
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