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"One for All, All for One: Learning and Transferring User Embeddings for ..."

Chenglin Li et al. (2022)

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DOI: 10.48550/ARXIV.2211.11964

access: open

type: Informal or Other Publication

metadata version: 2024-02-05

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  - journals/corr/abs-2211-11964
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  - https://dblp.org/rec/journals/corr/abs-2211-11964
Chenglin Li, Yuanzhen Xie, Chenyun Yu, Bo Hu, Zang Li, Guoqiang Shu, Xiaohu Qie, Di Niu:
One for All, All for One: Learning and Transferring User Embeddings for Cross-Domain Recommendation. CoRR abs/2211.11964 (2022)

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