Multi-Interest Refinement by Collaborative Attributes Modeling for Click-Through Rate Prediction.
Huachi Zhou|Jiaqi Fan|Xiao Huang|Ka Ho Li|Zhenyu Tang|Dahai Yu
| Anthology ID: | DBLP:conf/cikm/ZhouF0LTY22 |
|---|---|
| Volume: | Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022 |
| Year: | 2022 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 4732-4736 |
| URL: | https://doi.org/10.1145/3511808.3557652 |
| DOI: | https://doi.org/10.1145/3511808.3557652 |
| DBLP: | conf/cikm/ZhouF0LTY22 |
| BibTeX: |
@inproceedings{zhou-2022-multiinterest,
author = {Huachi Zhou and
Jiaqi Fan and
Xiao Huang and
Ka Ho Li and
Zhenyu Tang and
Dahai Yu},
editor = {Mohammad Al Hasan and
Li Xiong},
title = {{Multi-Interest Refinement by Collaborative Attributes Modeling for Click-Through Rate Prediction}},
booktitle = {{Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022}},
pages = {4732--4736},
publisher = {ACM},
year = {2022},
url = {https://doi.org/10.1145/3511808.3557652},
doi = {https://doi.org/10.1145/3511808.3557652}
}