Modeling Users' Contextualized Page-wise Feedback for Click-Through Rate Prediction in E-commerce Search.
Zhifang Fan|Dan Ou|Yulong Gu|Bairan Fu|Xiang Li|Wentian Bao|Xin-Yu Dai|Xiaoyi Zeng|Tao Zhuang|Qingwen Liu
| Anthology ID: | DBLP:conf/wsdm/FanOGFLBDZZL22 |
|---|---|
| Volume: | WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21 - 25, 2022 |
| Year: | 2022 |
| Venue: | Web Search and Data Mining (WSDM) |
| Publisher: | ACM |
| Pages: | 262-270 |
| URL: | https://doi.org/10.1145/3488560.3498478 |
| DOI: | https://doi.org/10.1145/3488560.3498478 |
| DBLP: | conf/wsdm/FanOGFLBDZZL22 |
| BibTeX: |
@inproceedings{fan-2022-modeling,
author = {Zhifang Fan and
Dan Ou and
Yulong Gu and
Bairan Fu and
Xiang Li and
Wentian Bao and
Xin-Yu Dai and
Xiaoyi Zeng and
Tao Zhuang and
Qingwen Liu},
editor = {K. Sel\c{c}uk Candan and
Huan Liu and
Leman Akoglu and
Xin Dong and
Jiliang Tang},
title = {{Modeling Users' Contextualized Page-wise Feedback for Click-Through Rate Prediction in E-commerce Search}},
booktitle = {{WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21 - 25, 2022}},
pages = {262--270},
publisher = {ACM},
year = {2022},
url = {https://doi.org/10.1145/3488560.3498478},
doi = {https://doi.org/10.1145/3488560.3498478}
}