Revisiting Cold-Start Problem in CTR Prediction: Augmenting Embedding via GAN.

Xuxin Zhang|Di Wang|Dehong Gao|Wen Jiang|Wei Ning|Yang Zhou|Chen Wang


Anthology ID:DBLP:conf/cikm/ZhangWGJNZW22
Volume:Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022
Year:2022
Venue:International Conference on Information and Knowledge Management (CIKM)
Publisher:ACM
Pages:4702-4706
URL:https://doi.org/10.1145/3511808.3557684
DOI:https://doi.org/10.1145/3511808.3557684
DBLP:conf/cikm/ZhangWGJNZW22
BibTeX:
@inproceedings{zhang-2022-revisiting, author = {Xuxin Zhang and Di Wang and Dehong Gao and Wen Jiang and Wei Ning and Yang Zhou and Chen Wang}, editor = {Mohammad Al Hasan and Li Xiong}, title = {{Revisiting Cold-Start Problem in CTR Prediction: Augmenting Embedding via GAN}}, booktitle = {{Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022}}, pages = {4702--4706}, publisher = {ACM}, year = {2022}, url = {https://doi.org/10.1145/3511808.3557684}, doi = {https://doi.org/10.1145/3511808.3557684} }