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} }