GenCI: Generative Modeling of User Interest Shift via Cohort-based Intent Learning for CTR Prediction.
Kesha Ou|Zhen Tian|Wayne Xin Zhao|Hongyu Lu|Ji-Rong Wen
| Anthology ID: | DBLP:conf/www/OuTZLW26 |
|---|---|
| Volume: | Proceedings of the ACM Web Conference 2026, WWW 2026, Dubai, United Arab Emirates, originally scheduled for April 13-17, 2026, rescheduled for June 29 - July 3, 2026. |
| Year: | 2026 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 6709-6718 |
| URL: | https://doi.org/10.1145/3774904.3792612 |
| DOI: | https://doi.org/10.1145/3774904.3792612 |
| DBLP: | conf/www/OuTZLW26 |
| BibTeX: |
@inproceedings{ou-2026-genci,
author = {Kesha Ou and
Zhen Tian and
Wayne Xin Zhao and
Hongyu Lu and
Ji-Rong Wen},
editor = {Hakim Hacid and
Yoelle Maarek and
Francesco Bonchi and
Ido Guy and
Emine Yilmaz},
title = {{GenCI: Generative Modeling of User Interest Shift via Cohort-based Intent Learning for CTR Prediction}},
booktitle = {{Proceedings of the ACM Web Conference 2026, WWW 2026, Dubai, United Arab Emirates, originally scheduled for April 13-17, 2026, rescheduled for June 29 - July 3, 2026}},
pages = {6709--6718},
publisher = {ACM},
year = {2026},
url = {https://doi.org/10.1145/3774904.3792612},
doi = {https://doi.org/10.1145/3774904.3792612}
}