Explicit Semantic Cross Feature Learning via Pre-trained Graph Neural Networks for CTR Prediction.
Feng Li|Bencheng Yan|Qingqing Long|Pengjie Wang|Wei Lin|Jian Xu|Bo Zheng
| Anthology ID: | DBLP:conf/sigir/LiYLWLXZ21 |
|---|---|
| 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: | 2161-2165 |
| URL: | https://doi.org/10.1145/3404835.3463015 |
| DOI: | https://doi.org/10.1145/3404835.3463015 |
| DBLP: | conf/sigir/LiYLWLXZ21 |
| BibTeX: |
@inproceedings{li-2021-explicit,
author = {Feng Li and
Bencheng Yan and
Qingqing Long and
Pengjie Wang and
Wei Lin and
Jian Xu and
Bo Zheng},
editor = {Fernando Diaz and
Chirag Shah and
Torsten Suel and
Pablo Castells and
Rosie Jones and
Tetsuya Sakai},
title = {{Explicit Semantic Cross Feature Learning via Pre-trained Graph Neural Networks 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 = {2161--2165},
publisher = {ACM},
year = {2021},
url = {https://doi.org/10.1145/3404835.3463015},
doi = {https://doi.org/10.1145/3404835.3463015}
}