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


Anthology ID:DBLP:conf/cikm/LiLDZZ20
Volume:CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, Virtual Event, Ireland, October 19-23, 2020
Year:2020
Venue:International Conference on Information and Knowledge Management (CIKM)
Publisher:ACM
Pages:2605-2612
URL:https://doi.org/10.1145/3340531.3412713
DOI:https://doi.org/10.1145/3340531.3412713
DBLP:conf/cikm/LiLDZZ20
BibTeX:
@inproceedings{li-2020-improving, author = {Pengcheng Li and Runze Li and Qing Da and Anxiang Zeng and Lijun Zhang}, editor = {Mathieu d'Aquin and Stefan Dietze and Claudia Hauff and Edward Curry and Philippe Cudr\'{e}-Mauroux}, title = {{Improving Multi-Scenario Learning to Rank in E-commerce by Exploiting Task Relationships in the Label Space}}, booktitle = {{CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, Virtual Event, Ireland, October 19-23, 2020}}, pages = {2605--2612}, publisher = {ACM}, year = {2020}, url = {https://doi.org/10.1145/3340531.3412713}, doi = {https://doi.org/10.1145/3340531.3412713} }