Alleviating Cold-start Problem in CTR Prediction with A Variational Embedding Learning Framework.

@inproceedings{xu-2022-alleviating, author = {Xiaoxiao Xu and Chen Yang and Qian Yu and Zhiwei Fang and Jiaxing Wang and Chaosheng Fan and Yang He and Changping Peng and Zhangang Lin and Jingping Shao}, editor = {Fr\'{e}d\'{e}rique Laforest and Rapha\"{e}l Troncy and Elena Simperl and Deepak Agarwal and Aristides Gionis and Ivan Herman and Lionel M\'{e}dini}, title = {{Alleviating Cold-start Problem in CTR Prediction with A Variational Embedding Learning Framework}}, booktitle = {{WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022}}, pages = {27--35}, publisher = {ACM}, year = {2022}, url = {https://doi.org/10.1145/3485447.3512048}, doi = {https://doi.org/10.1145/3485447.3512048} }