Entire Space Multi-Task Model: An Effective Approach for Estimating Post-Click Conversion Rate.
Xiao Ma|Liqin Zhao|Guan Huang|Zhi Wang|Zelin Hu|Xiaoqiang Zhu|Kun Gai
| Anthology ID: | DBLP:conf/sigir/MaZHWHZG18 |
|---|---|
| Volume: | The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, SIGIR 2018, Ann Arbor, MI, USA, July 08-12, 2018 |
| Year: | 2018 |
| Venue: | Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) |
| Publisher: | ACM |
| Pages: | 1137-1140 |
| URL: | https://doi.org/10.1145/3209978.3210104 |
| DOI: | https://doi.org/10.1145/3209978.3210104 |
| DBLP: | conf/sigir/MaZHWHZG18 |
| BibTeX: |
@inproceedings{ma-2018-entire,
author = {Xiao Ma and
Liqin Zhao and
Guan Huang and
Zhi Wang and
Zelin Hu and
Xiaoqiang Zhu and
Kun Gai},
editor = {Kevyn Collins-Thompson and
Qiaozhu Mei and
Brian D. Davison and
Yiqun Liu and
Emine Yilmaz},
title = {{Entire Space Multi-Task Model: An Effective Approach for Estimating Post-Click Conversion Rate}},
booktitle = {{The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, SIGIR 2018, Ann Arbor, MI, USA, July 08-12, 2018}},
pages = {1137--1140},
publisher = {ACM},
year = {2018},
url = {https://doi.org/10.1145/3209978.3210104},
doi = {https://doi.org/10.1145/3209978.3210104}
}