IncMSR: An Incremental Learning Approach for Multi-Scenario Recommendation

Kexin Zhang, Yichao Wang, Xiu Li, Ruiming Tang, Rui Zhang. IncMSR: An Incremental Learning Approach for Multi-Scenario Recommendation. In Luz Angelica Caudillo-Mata, Silvio Lattanzi, Andrés Muñoz Medina, Leman Akoglu, Aristides Gionis, Sergei Vassilvitskii, editors, Proceedings of the 17th ACM International Conference on Web Search and Data Mining, WSDM 2024, Merida, Mexico, March 4-8, 2024. pages 939-948, ACM, 2024. [doi]

@inproceedings{ZhangWLTZ24,
  title = {IncMSR: An Incremental Learning Approach for Multi-Scenario Recommendation},
  author = {Kexin Zhang and Yichao Wang and Xiu Li and Ruiming Tang and Rui Zhang},
  year = {2024},
  doi = {10.1145/3616855.3635828},
  url = {https://doi.org/10.1145/3616855.3635828},
  researchr = {https://researchr.org/publication/ZhangWLTZ24},
  cites = {0},
  citedby = {0},
  pages = {939-948},
  booktitle = {Proceedings of the 17th ACM International Conference on Web Search and Data Mining, WSDM 2024, Merida, Mexico, March 4-8, 2024},
  editor = {Luz Angelica Caudillo-Mata and Silvio Lattanzi and Andrés Muñoz Medina and Leman Akoglu and Aristides Gionis and Sergei Vassilvitskii},
  publisher = {ACM},
}