Abstract

Akin to human transfer of experiences, transfer learning as a subfield of machine learning adapts knowledge acquired in one domain to a new domain. The authors systematically investigate how this concept might be applied to the study of users on emerging Web platforms, proposing a transfer learning–based approach, TraNet.

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DOI:
10.1109/MC.2018.2701640
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BibTeX key:
sun2018understanding
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