Improving Multi-Scenario Learning to Rank in E-commerce by Exploiting Task Relationships in the Label Space

Pengcheng Li, Runze Li, Qing Da, Anxiang Zeng, Lijun Zhang. Improving Multi-Scenario Learning to Rank in E-commerce by Exploiting Task Relationships in the Label Space. In Mathieu d'Aquin, Stefan Dietze, Claudia Hauff, Edward Curry, Philippe Cudré-Mauroux, editors, CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, Virtual Event, Ireland, October 19-23, 2020. pages 2605-2612, ACM, 2020. [doi]

@inproceedings{LiLDZZ20,
  title = {Improving Multi-Scenario Learning to Rank in E-commerce by Exploiting Task Relationships in the Label Space},
  author = {Pengcheng Li and Runze Li and Qing Da and Anxiang Zeng and Lijun Zhang},
  year = {2020},
  doi = {10.1145/3340531.3412713},
  url = {https://doi.org/10.1145/3340531.3412713},
  researchr = {https://researchr.org/publication/LiLDZZ20},
  cites = {0},
  citedby = {0},
  pages = {2605-2612},
  booktitle = {CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, Virtual Event, Ireland, October 19-23, 2020},
  editor = {Mathieu d'Aquin and Stefan Dietze and Claudia Hauff and Edward Curry and Philippe Cudré-Mauroux},
  publisher = {ACM},
  isbn = {978-1-4503-6859-9},
}