CAN: Feature Co-Action Network for Click-Through Rate Prediction.

Weijie Bian|Kailun Wu|Lejian Ren|Qi Pi|Yujing Zhang|Can Xiao|Xiang-Rong Sheng|Yong-Nan Zhu|Zhangming Chan|Na Mou|Xinchen Luo|Shiming Xiang|Guorui Zhou|Xiaoqiang Zhu|Hongbo Deng


Anthology ID:DBLP:conf/wsdm/BianWRPZXSZCMLX22
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:57-65
URL:https://doi.org/10.1145/3488560.3498435
DOI:https://doi.org/10.1145/3488560.3498435
DBLP:conf/wsdm/BianWRPZXSZCMLX22
BibTeX:
@inproceedings{bian-2022-feature, author = {Weijie Bian and Kailun Wu and Lejian Ren and Qi Pi and Yujing Zhang and Can Xiao and Xiang-Rong Sheng and Yong-Nan Zhu and Zhangming Chan and Na Mou and Xinchen Luo and Shiming Xiang and Guorui Zhou and Xiaoqiang Zhu and Hongbo Deng}, editor = {K. Sel\c{c}uk Candan and Huan Liu and Leman Akoglu and Xin Dong and Jiliang Tang}, title = {{CAN: Feature Co-Action Network for Click-Through Rate Prediction}}, booktitle = {{WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21 - 25, 2022}}, pages = {57--65}, publisher = {ACM}, year = {2022}, url = {https://doi.org/10.1145/3488560.3498435}, doi = {https://doi.org/10.1145/3488560.3498435} }