Learning from multiple social networks /

Learning from multiple social networks /

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With the proliferation of social network services, more and more social users, such as individuals and organizations, are simultaneously involved in multiple social networks for various purposes. In fact, multiple social networks characterize the same social users from different perspectives, and th...

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Bibliographic Details
Main Authors: Nie, Liqiang (Author), Chua, T. S (Tat-Seng), 1955- (Author), Song, Xuemeng (Author)
Format: Book
Language:English
Published: San Rafael, California (1537 Fourth Street, San Rafael, CA 94901 USA) : Morgan & Claypool, 2016
Series:Synthesis digital library of engineering and computer science
Synthesis lectures on information concepts, retrieval, and services #48
Subjects:
Interest (Psychology) > Research
Internet users > Research
Online social networks > Research
career path modeling
data completion
missing data
mono-source multi-task learning
multi-source mono-task learning
multi-source multi-task learning
multiple social networks
occupation inference
user attribute learning
user interest mining
volunteerism tendency prediction

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