Is the 'Impression Log' Beneficial to Evaluating News Recommender Systems? No, it is Not!
Author:
Affiliation:
1. Hanyang University, Seoul, Republic of Korea
Funder
RS-2022-00155586
2022-0-00352
2020-0-01373
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3589335.3651527
Reference15 articles.
1. J Ahn et al. 2023. Is the Impression Log Beneficial to Effective Model Training in News Recommender Systems? No It's NOT. In WWW. 61--64.
2. M An et al. 2019. Neural News Recommendation with Long- and Short-term User Representations. In ACL. 336--345.
3. HK Bae et al. 2023. A competition-aware approach to accurate TV show recommendation. In IEEE ICDE. IEEE 2822--2834.
4. LANCER: A Lifetime-Aware News Recommender System
5. Read between the interactions: Understanding non-interacted items for accurate multimedia recommendation
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