Warm Up Cold-start Advertisements: Improving CTR Predictions via Learning to Learn ID Embeddings.

@inproceedings{pan-2019-warm, author = {Feiyang Pan and Shuokai Li and Xiang Ao and Pingzhong Tang and Qing He}, editor = {Benjamin Piwowarski and Max Chevalier and \'{E}ric Gaussier and Yoelle Maarek and Jian-Yun Nie and Falk Scholer}, title = {{Warm Up Cold-start Advertisements: Improving CTR Predictions via Learning to Learn ID Embeddings}}, booktitle = {{Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2019, Paris, France, July 21-25, 2019}}, pages = {695--704}, publisher = {ACM}, year = {2019}, url = {https://doi.org/10.1145/3331184.3331268}, doi = {https://doi.org/10.1145/3331184.3331268} }