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%0 Journal Article
%1 journals/corr/abs-2211-11964
%A Li, Chenglin
%A Xie, Yuanzhen
%A Yu, Chenyun
%A Hu, Bo
%A Li, Zang
%A Shu, Guoqiang
%A Qie, Xiaohu
%A Niu, Di
%D 2022
%J CoRR
%K dblp
%T One for All, All for One: Learning and Transferring User Embeddings for Cross-Domain Recommendation.
%U http://dblp.uni-trier.de/db/journals/corr/corr2211.html#abs-2211-11964
%V abs/2211.11964
@article{journals/corr/abs-2211-11964,
added-at = {2024-02-05T00:00:00.000+0100},
author = {Li, Chenglin and Xie, Yuanzhen and Yu, Chenyun and Hu, Bo and Li, Zang and Shu, Guoqiang and Qie, Xiaohu and Niu, Di},
biburl = {https://www.bibsonomy.org/bibtex/239813dde53d1095baccdfd1d002b23ab/dblp},
ee = {https://doi.org/10.48550/arXiv.2211.11964},
interhash = {2ff98c05b9f31c4bed9b3d310b20f249},
intrahash = {39813dde53d1095baccdfd1d002b23ab},
journal = {CoRR},
keywords = {dblp},
timestamp = {2024-04-08T22:39:24.000+0200},
title = {One for All, All for One: Learning and Transferring User Embeddings for Cross-Domain Recommendation.},
url = {http://dblp.uni-trier.de/db/journals/corr/corr2211.html#abs-2211-11964},
volume = {abs/2211.11964},
year = 2022
}