Selective LLM-Guided Regularization for Enhancing Recommendation Models.

Zhan Shi|Shanglin Yang


Anthology ID:DBLP:conf/wsdm/ShiY26
Volume:Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, WSDM Companion 2026, Boise Centre, Boise, ID, USA, February 22-26, 2026
Year:2026
Venue:Web Search and Data Mining (WSDM)
Publisher:ACM
Pages:148-153
URL:https://doi.org/10.1145/3779211.3795736
DOI:https://doi.org/10.1145/3779211.3795736
DBLP:conf/wsdm/ShiY26
BibTeX:
@inproceedings{shi-2026-selective, author = {Zhan Shi and Shanglin Yang}, editor = {Edoardo Serra and Francesca Spezzano and Francesco Gullo}, title = {{Selective LLM-Guided Regularization for Enhancing Recommendation Models}}, booktitle = {{Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, WSDM Companion 2026, Boise Centre, Boise, ID, USA, February 22-26, 2026}}, pages = {148--153}, publisher = {ACM}, year = {2026}, url = {https://doi.org/10.1145/3779211.3795736}, doi = {https://doi.org/10.1145/3779211.3795736} }