Is the Impression Log Beneficial to Effective Model Training in News Recommender Systems? No, It's NOT.
Jeewon Ahn|Hong-Kyun Bae|Sang-Wook Kim
| Anthology ID: | DBLP:conf/www/AhnBK23 |
|---|---|
| Volume: | Companion Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023 |
| Year: | 2023 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 61-64 |
| URL: | https://doi.org/10.1145/3543873.3587312 |
| DOI: | https://doi.org/10.1145/3543873.3587312 |
| DBLP: | conf/www/AhnBK23 |
| BibTeX: |
@inproceedings{ahn-2023-impression,
author = {Jeewon Ahn and
Hong-Kyun Bae and
Sang-Wook Kim},
editor = {Ying Ding and
Jie Tang and
Juan F. Sequeda and
Lora Aroyo and
Carlos Castillo and
Geert-Jan Houben},
title = {{Is the Impression Log Beneficial to Effective Model Training in News Recommender Systems? No, It's NOT}},
booktitle = {{Companion Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023}},
pages = {61--64},
publisher = {ACM},
year = {2023},
url = {https://doi.org/10.1145/3543873.3587312},
doi = {https://doi.org/10.1145/3543873.3587312}
}