A Universal Framework for Offline Serendipity Evaluation in Recommender Systems via Large Language Models.

Yu Tokutake|Kazushi Okamoto|Kei Harada|Atsushi Shibata|Koki Karube


Anthology ID:DBLP:conf/cikm/TokutakeOHSK25
Volume:Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025
Year:2025
Venue:International Conference on Information and Knowledge Management (CIKM)
Publisher:ACM
Pages:5294-5298
URL:https://doi.org/10.1145/3746252.3760911
DOI:https://doi.org/10.1145/3746252.3760911
DBLP:conf/cikm/TokutakeOHSK25
BibTeX:
@inproceedings{tokutake-2025-universal, author = {Yu Tokutake and Kazushi Okamoto and Kei Harada and Atsushi Shibata and Koki Karube}, editor = {Meeyoung Cha and Carl Yang and Senjuti Basu Roy and Chanyoung Park and Zhenhui Jessie Li and Noseong Park and Carl Yang and Senjuti Basu Roy and Zhenhui Jessie Li and Jaap Kamps and Kijung Shin and Bryan Hooi and Lifang He}, title = {{A Universal Framework for Offline Serendipity Evaluation in Recommender Systems via Large Language Models}}, booktitle = {{Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025}}, pages = {5294--5298}, publisher = {ACM}, year = {2025}, url = {https://doi.org/10.1145/3746252.3760911}, doi = {https://doi.org/10.1145/3746252.3760911} }