A sequence recommendation method based on external reinforcement and position separation
Author:
Funder
Key R & D project of Shandong Province，Shandong Provincial Social Science Planning Project
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11227-024-06260-0.pdf
Reference43 articles.
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2. Bi Q, Li J, Shang L, Jiang X, Liu Q, Yang H (2022) MTREC: multi-task learning over BERT for news recommendation. In: Findings of the Association for Computational Linguistics: ACL 2022, pp 2663–2669
3. Ma Y, He Y, Zhang A, Wang X, Chua T-S (2022) CrossCBR: cross-view contrastive learning for bundle recommendation. In: Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, pp 1233–1241
4. Covington P, Adams J, Sargin E (2016) Deep neural networks for YouTube recommendations. In: ACM Conference on Recommender Systems, pp 191–198
5. Fan W, Ma Y, Li Q, He Y, Yin D (2019) Graph neural networks for social recommendation
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