Learning Graph Meta Embeddings for Cold-Start Ads in Click-Through Rate Prediction.

Wentao Ouyang|Xiuwu Zhang|Shukui Ren|Li Li|Kun Zhang|Jinmei Luo|Zhaojie Liu|Yanlong Du


Anthology ID:DBLP:conf/sigir/OuyangZRLZLLD21
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:1157-1166
URL:https://doi.org/10.1145/3404835.3462879
DOI:https://doi.org/10.1145/3404835.3462879
DBLP:conf/sigir/OuyangZRLZLLD21
BibTeX:
@inproceedings{ouyang-2021-learning, author = {Wentao Ouyang and Xiuwu Zhang and Shukui Ren and Li Li and Kun Zhang and Jinmei Luo and Zhaojie Liu and Yanlong Du}, editor = {Fernando Diaz and Chirag Shah and Torsten Suel and Pablo Castells and Rosie Jones and Tetsuya Sakai}, title = {{Learning Graph Meta Embeddings for Cold-Start Ads in Click-Through Rate 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 = {1157--1166}, publisher = {ACM}, year = {2021}, url = {https://doi.org/10.1145/3404835.3462879}, doi = {https://doi.org/10.1145/3404835.3462879} }