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} }