Multi-gate Mixture-of-Contrastive-Experts with Graph-based Gating Mechanism for TV Recommendation

Author:

Zhang Cong1ORCID,Liu Dongyang1ORCID,Zuo Lin2ORCID,Feng Junlan1ORCID,Deng Chao1ORCID,Sun Jian1ORCID,Zeng Haitao1ORCID,Zhao Yaohong1ORCID

Affiliation:

1. China Mobile Research Institute, Beijing, China

2. China Mobile Research Institute, Xi'an, China

Publisher

ACM

Reference42 articles.

1. Watch-It-Next: A Contextual TV Recommendation System

2. Andreas Argyriou Theodoros Evgeniou and Massimiliano Pontil. 2008. Convex multi-task feature learning. Machine learning 73 243--272. Andreas Argyriou Theodoros Evgeniou and Massimiliano Pontil. 2008. Convex multi-task feature learning. Machine learning 73 243--272.

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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