Attention Mixtures for Time-Aware Sequential Recommendation

Author:

Tran Viet Anh1ORCID,Salha-Galvan Guillaume1ORCID,Sguerra Bruno1ORCID,Hennequin Romain1ORCID

Affiliation:

1. Deezer Research, Paris, France

Publisher

ACM

Reference56 articles.

1. Gediminas Adomavicius and Alexander Tuzhilin . 2011. Context-Aware Recommender Systems. Recommender Systems Handbook ( 2011 ), 217--253. Gediminas Adomavicius and Alexander Tuzhilin. 2011. Context-Aware Recommender Systems. Recommender Systems Handbook (2011), 217--253.

2. Srinadh Bhojanapalli , Ayan Chakrabarti , Himanshu Jain , Sanjiv Kumar , Michal Lukasik , and Andreas Veit . 2021. Eigen Analysis of Self-Attention and its Reconstruction from Partial Computation. arXiv preprint arXiv:2106.08823 ( 2021 ). Srinadh Bhojanapalli, Ayan Chakrabarti, Himanshu Jain, Sanjiv Kumar, Michal Lukasik, and Andreas Veit. 2021. Eigen Analysis of Self-Attention and its Reconstruction from Partial Computation. arXiv preprint arXiv:2106.08823 (2021).

3. Flow Moods: Recommending Music by Moods on Deezer

4. Chao Chen , Haoyu Geng , Nianzu Yang , Junchi Yan , Daiyue Xue , Jianping Yu , and Xiaokang Yang . 2021 . Learning Self-Modulating Attention in Continuous Time Space with Applications to Sequential Recommendation . Proceedings of the 38th International Conference on Machine Learning (2021), 1606--1616. Chao Chen, Haoyu Geng, Nianzu Yang, Junchi Yan, Daiyue Xue, Jianping Yu, and Xiaokang Yang. 2021. Learning Self-Modulating Attention in Continuous Time Space with Applications to Sequential Recommendation. Proceedings of the 38th International Conference on Machine Learning (2021), 1606--1616.

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1. Enhanced Self-Attention Mechanism for Long and Short Term Sequential Recommendation Models;IEEE Transactions on Emerging Topics in Computational Intelligence;2024-06

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