SAQRec: Aligning Recommender Systems to User Satisfaction via Questionnaire Feedback.
Kepu Zhang|Teng Shi|Sunhao Dai|Xiao Zhang|Yinfeng Li|Jing Lu|Xiaoxue Zang|Yang Song|Jun Xu
| Anthology ID: | DBLP:conf/cikm/ZhangSD0LLZ0024 |
|---|---|
| Volume: | Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024 |
| Year: | 2024 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 3165-3175 |
| URL: | https://doi.org/10.1145/3627673.3679643 |
| DOI: | https://doi.org/10.1145/3627673.3679643 |
| DBLP: | conf/cikm/ZhangSD0LLZ0024 |
| BibTeX: |
@inproceedings{zhang-2024-saqrec,
author = {Kepu Zhang and
Teng Shi and
Sunhao Dai and
Xiao Zhang and
Yinfeng Li and
Jing Lu and
Xiaoxue Zang and
Yang Song and
Jun Xu},
editor = {Edoardo Serra and
Francesca Spezzano},
title = {{SAQRec: Aligning Recommender Systems to User Satisfaction via Questionnaire Feedback}},
booktitle = {{Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024}},
pages = {3165--3175},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3627673.3679643},
doi = {https://doi.org/10.1145/3627673.3679643}
}