Xu Zhao, Yi Ren, Ying Du, Shenzheng Zhang, Nian Wang. Improving Item Cold-start Recommendation via Model-agnostic Conditional Variational Autoencoder. In Enrique Amigó, Pablo Castells, Julio Gonzalo, Ben Carterette, J. Shane Culpepper, Gabriella Kazai, editors, SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022. pages 2595-2600, ACM, 2022. [doi]
@inproceedings{ZhaoRDZW22, title = {Improving Item Cold-start Recommendation via Model-agnostic Conditional Variational Autoencoder}, author = {Xu Zhao and Yi Ren and Ying Du and Shenzheng Zhang and Nian Wang}, year = {2022}, doi = {10.1145/3477495.3531902}, url = {https://doi.org/10.1145/3477495.3531902}, researchr = {https://researchr.org/publication/ZhaoRDZW22}, cites = {0}, citedby = {0}, pages = {2595-2600}, booktitle = {SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022}, editor = {Enrique Amigó and Pablo Castells and Julio Gonzalo and Ben Carterette and J. Shane Culpepper and Gabriella Kazai}, publisher = {ACM}, isbn = {978-1-4503-8732-3}, }