Multitask Ranking System for Immersive Feed and No More Clicks: A Case Study of Short-Form Video Recommendation.
Qingyun Liu|Zhe Zhao|Liang Liu|Zhen Zhang|Junjie Shan|Yuening Li|Shuchao Bi|Lichan Hong|Ed H. Chi
| Anthology ID: | DBLP:conf/cikm/Liu0LZSLBHC23 |
|---|---|
| Volume: | Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023 |
| Year: | 2023 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 4709-4716 |
| URL: | https://doi.org/10.1145/3583780.3615489 |
| DOI: | https://doi.org/10.1145/3583780.3615489 |
| DBLP: | conf/cikm/Liu0LZSLBHC23 |
| BibTeX: |
@inproceedings{liu-2023-multitask,
author = {Qingyun Liu and
Zhe Zhao and
Liang Liu and
Zhen Zhang and
Junjie Shan and
Yuening Li and
Shuchao Bi and
Lichan Hong and
Ed H. Chi},
editor = {Ingo Frommholz and
Frank Hopfgartner and
Mark Lee and
Michael P. Oakes and
Mounia Lalmas-Roelleke and
Min Zhang and
Rodrygo L. T. Santos},
title = {{Multitask Ranking System for Immersive Feed and No More Clicks: A Case Study of Short-Form Video Recommendation}},
booktitle = {{Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023}},
pages = {4709--4716},
publisher = {ACM},
year = {2023},
url = {https://doi.org/10.1145/3583780.3615489},
doi = {https://doi.org/10.1145/3583780.3615489}
}