IncMSR: An Incremental Learning Approach for Multi-Scenario Recommendation.

Kexin Zhang|Yichao Wang|Xiu Li|Ruiming Tang|Rui Zhang


Anthology ID:DBLP:conf/wsdm/ZhangWLTZ24
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:939-948
URL:https://doi.org/10.1145/3616855.3635828
DOI:https://doi.org/10.1145/3616855.3635828
DBLP:conf/wsdm/ZhangWLTZ24
BibTeX:
@inproceedings{zhang-2024-incmsr, author = {Kexin Zhang and Yichao Wang and Xiu Li and Ruiming Tang and Rui Zhang}, 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 = {{IncMSR: An Incremental Learning Approach for 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 = {939--948}, publisher = {ACM}, year = {2024}, url = {https://doi.org/10.1145/3616855.3635828}, doi = {https://doi.org/10.1145/3616855.3635828} }