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"Transfer how much: a fine-grained measure of the knowledge transferability ..."

Nuo Li et al. (2022)

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DOI: 10.1007/S10618-022-00857-W

access: closed

type: Journal Article

metadata version: 2023-09-30

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  dblp key:
  - journals/datamine/LiGLDXYY22
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  persistent URL:
  - https://dblp.org/rec/journals/datamine/LiGLDXYY22
Nuo Li, Bin Guo, Yan Liu, Yasan Ding, En Xu, Lina Yao, Zhiwen Yu:
Transfer how much: a fine-grained measure of the knowledge transferability of user behavior sequences in social network. Data Min. Knowl. Discov. 36(6): 2214-2236 (2022)

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