Diff-MSR: A Diffusion Model Enhanced Paradigm for Cold-Start Multi-Scenario Recommendation.

Yuhao Wang|Ziru Liu|Yichao Wang|Xiangyu Zhao|Bo Chen|Huifeng Guo|Ruiming Tang


Anthology ID:DBLP:conf/wsdm/WangL0Z0GT24
Volume:Proceedings of the 17th ACM International Conference on Web Search and Data Mining, WSDM 2024, Merida, Mexico, March 4-8, 2024
Year:2024
Venue:Web Search and Data Mining (WSDM)
Publisher:ACM
Pages:779-787
URL:https://doi.org/10.1145/3616855.3635807
DOI:https://doi.org/10.1145/3616855.3635807
DBLP:conf/wsdm/WangL0Z0GT24
BibTeX:
@inproceedings{wang-2024-diffmsr, author = {Yuhao Wang and Ziru Liu and Yichao Wang and Xiangyu Zhao and Bo Chen and Huifeng Guo and Ruiming Tang}, editor = {Luz Angelica Caudillo-Mata and Silvio Lattanzi and Andr\'{e}s Mu\~{n}oz Medina and Leman Akoglu and Aristides Gionis and Sergei Vassilvitskii}, title = {{Diff-MSR: A Diffusion Model Enhanced Paradigm for Cold-Start Multi-Scenario Recommendation}}, booktitle = {{Proceedings of the 17th ACM International Conference on Web Search and Data Mining, WSDM 2024, Merida, Mexico, March 4-8, 2024}}, pages = {779--787}, publisher = {ACM}, year = {2024}, url = {https://doi.org/10.1145/3616855.3635807}, doi = {https://doi.org/10.1145/3616855.3635807} }