Improving Multi Task Recommendations via Cross User Learning with a Hybrid Pointwise and Pairwise Ranking Loss.

Abhinav Naikawadi|Hedi Xia|Dafang He|Yichu Zhou|Xue Xia|Piyush Maheshwari|Bella Huang|Bowen Deng|James Li|Dhruvil Deven Badani|Yijie Dylan Wang


Anthology ID:DBLP:conf/www/NaikawadiXHZXMH26
Volume:Proceedings of the ACM Web Conference 2026, WWW 2026, Dubai, United Arab Emirates, originally scheduled for April 13-17, 2026, rescheduled for June 29 - July 3, 2026.
Year:2026
Venue:The Web Conference (WWW)
Publisher:ACM
Pages:8296-8304
URL:https://doi.org/10.1145/3774904.3792823
DOI:https://doi.org/10.1145/3774904.3792823
DBLP:conf/www/NaikawadiXHZXMH26
BibTeX:
@inproceedings{naikawadi-2026-improving, author = {Abhinav Naikawadi and Hedi Xia and Dafang He and Yichu Zhou and Xue Xia and Piyush Maheshwari and Bella Huang and Bowen Deng and James Li and Dhruvil Deven Badani and Yijie Dylan Wang}, editor = {Hakim Hacid and Yoelle Maarek and Francesco Bonchi and Ido Guy and Emine Yilmaz}, title = {{Improving Multi Task Recommendations via Cross User Learning with a Hybrid Pointwise and Pairwise Ranking Loss}}, booktitle = {{Proceedings of the ACM Web Conference 2026, WWW 2026, Dubai, United Arab Emirates, originally scheduled for April 13-17, 2026, rescheduled for June 29 - July 3, 2026}}, pages = {8296--8304}, publisher = {ACM}, year = {2026}, url = {https://doi.org/10.1145/3774904.3792823}, doi = {https://doi.org/10.1145/3774904.3792823} }