Transform Cold-Start Users into Warm via Fused Behaviors in Large-Scale Recommendation.

Pengyang Li|Rong Chen|Quan Liu|Jian Xu|Bo Zheng


Anthology ID:DBLP:conf/sigir/LiCLXZ22
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:2013-2017
URL:https://doi.org/10.1145/3477495.3531797
DOI:https://doi.org/10.1145/3477495.3531797
DBLP:conf/sigir/LiCLXZ22
BibTeX:
@inproceedings{li-2022-transform, author = {Pengyang Li and Rong Chen and Quan Liu and Jian Xu and Bo Zheng}, editor = {Enrique Amig\'{o} and Pablo Castells and Julio Gonzalo and Ben Carterette and J. Shane Culpepper and Gabriella Kazai}, title = {{Transform Cold-Start Users into Warm via Fused Behaviors in Large-Scale Recommendation}}, booktitle = {{SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022}}, pages = {2013--2017}, publisher = {ACM}, year = {2022}, url = {https://doi.org/10.1145/3477495.3531797}, doi = {https://doi.org/10.1145/3477495.3531797} }