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Joint Content- and Social-Based User Preference Mining

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Online Social Media Content Delivery

Part of the book series: SpringerBriefs in Computer Science ((BRIEFSCOMPUTER))

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Abstract

Understanding user preference is the key to efficient social content delivery, while user preference can be inferred from both content and social aspects in the context of online social content delivery. The chapter presents a general framework to understand user preference.

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Notes

  1. 1.

    ©[2013] IEEE. Reprinted, with permission, from IEEE Transactions on Multimedia.

  2. 2.

    http://en.wikipedia.org/wiki/Dunbar’s_number.

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Authors and Affiliations

  1. Graduate School at Shenzhen, Tsinghua University, Shenzhen, China

    Zhi Wang

  2. Department of Computer Science, Tsinghua University, Beijing, China

    Wenwu Zhu & Shiqiang Yang

Authors
  1. Zhi Wang
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  2. Wenwu Zhu
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  3. Shiqiang Yang
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Correspondence to Zhi Wang .

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Wang, Z., Zhu, W., Yang, S. (2018). Joint Content- and Social-Based User Preference Mining. In: Online Social Media Content Delivery. SpringerBriefs in Computer Science. Springer, Singapore. https://doi.org/10.1007/978-981-10-2774-1_2

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  • DOI: https://doi.org/10.1007/978-981-10-2774-1_2

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-2773-4

  • Online ISBN: 978-981-10-2774-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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