Is the Impression Log Beneficial to Effective Model Training in News Recommender Systems? No, It’s NOT-Reference-Cited by-同舟云学术

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Is the Impression Log Beneficial to Effective Model Training in News Recommender Systems? No, It’s NOT

Published:2023-04-30 Issue: Volume: Page:
ISSN:
Container-title:Companion Proceedings of the ACM Web Conference 2023
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Author:

Ahn Jeewon¹^ORCID,Bae Hong-Kyun¹^ORCID,Kim Sang-Wook¹^ORCID

Affiliation:

1. Department of Computer Science, Hanyang University, Republic of Korea

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3543873.3587312

Reference18 articles.

1. Chuhan Wu et al.2019. Neural News Recommendation with Attentive Multi-View Learning. In IJCAI’19. 3863–3869.

2. Chuhan Wu et al.2019. Neural News Recommendation with Multi-Head Self-Attention. In EMNLP-IJCNLP’19. 6389–6394.

3. Chuhan Wu et al.2019. Neural News Recommendation with Topic-Aware News Representation. In ACL’19. 1154–1159.

4. Chuhan Wu et al.2019. NPA: Neural News Recommendation with Personalized Attention. In ACM KDD’19. 2576–2584.

5. Chuhan Wu et al.2021. FeedRec: News Feed Recommendation with Various User Feedbacks. In ACM KDD’21. 2088–2097.

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Is the 'Impression Log' Beneficial to Evaluating News Recommender Systems? No, it is Not!;Companion Proceedings of the ACM Web Conference 2024;2024-05-13

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