GemNN: Gating-enhanced Multi-task Neural Networks with Feature Interaction Learning for CTR Prediction.

Hongliang Fei|Jingyuan Zhang|Xingxuan Zhou|Junhao Zhao|Xinyang Qi|Ping Li


Anthology ID:DBLP:conf/sigir/FeiZZZQL21
Volume:SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11-15, 2021
Year:2021
Venue:Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
Publisher:ACM
Pages:2166-2171
URL:https://doi.org/10.1145/3404835.3463116
DOI:https://doi.org/10.1145/3404835.3463116
DBLP:conf/sigir/FeiZZZQL21
BibTeX:
@inproceedings{fei-2021-gemnn, author = {Hongliang Fei and Jingyuan Zhang and Xingxuan Zhou and Junhao Zhao and Xinyang Qi and Ping Li}, editor = {Fernando Diaz and Chirag Shah and Torsten Suel and Pablo Castells and Rosie Jones and Tetsuya Sakai}, title = {{GemNN: Gating-enhanced Multi-task Neural Networks with Feature Interaction Learning for CTR Prediction}}, booktitle = {{SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11-15, 2021}}, pages = {2166--2171}, publisher = {ACM}, year = {2021}, url = {https://doi.org/10.1145/3404835.3463116}, doi = {https://doi.org/10.1145/3404835.3463116} }