Improving Item Cold-start Recommendation via Model-agnostic Conditional Variational Autoencoder.

Xu Zhao|Yi Ren|Ying Du|Shenzheng Zhang|Nian Wang


Anthology ID:DBLP:conf/sigir/ZhaoRDZW22
Volume:SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022
Year:2022
Venue:Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
Publisher:ACM
Pages:2595-2600
URL:https://doi.org/10.1145/3477495.3531902
DOI:https://doi.org/10.1145/3477495.3531902
DBLP:conf/sigir/ZhaoRDZW22
BibTeX:
@inproceedings{zhao-2022-improving, author = {Xu Zhao and Yi Ren and Ying Du and Shenzheng Zhang and Nian Wang}, editor = {Enrique Amig\'{o} and Pablo Castells and Julio Gonzalo and Ben Carterette and J. Shane Culpepper and Gabriella Kazai}, title = {{Improving Item Cold-start Recommendation via Model-agnostic Conditional Variational Autoencoder}}, booktitle = {{SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022}}, pages = {2595--2600}, publisher = {ACM}, year = {2022}, url = {https://doi.org/10.1145/3477495.3531902}, doi = {https://doi.org/10.1145/3477495.3531902} }