Quantifying User Coherence: A Unified Framework for Analyzing Recommender Systems Across Domains.
Michaël Soumm|Alexandre Fournier-Montgieux|Adrian Popescu|Bertrand Delezoide
| Anthology ID: | DBLP:conf/www/SoummMPD26 |
|---|---|
| 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: | 6562-6573 |
| URL: | https://doi.org/10.1145/3774904.3792563 |
| DOI: | https://doi.org/10.1145/3774904.3792563 |
| DBLP: | conf/www/SoummMPD26 |
| BibTeX: |
@inproceedings{soumm-2026-quantifying,
author = {Micha\"{e}l Soumm and
Alexandre Fournier-Montgieux and
Adrian Popescu and
Bertrand Delezoide},
editor = {Hakim Hacid and
Yoelle Maarek and
Francesco Bonchi and
Ido Guy and
Emine Yilmaz},
title = {{Quantifying User Coherence: A Unified Framework for Analyzing Recommender Systems Across Domains}},
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 = {6562--6573},
publisher = {ACM},
year = {2026},
url = {https://doi.org/10.1145/3774904.3792563},
doi = {https://doi.org/10.1145/3774904.3792563}
}