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User Modeling on Social Multimedia Activity

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User-centric Social Multimedia Computing

Part of the book series: Springer Theses ((Springer Theses))

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Abstract

The increasing social multimedia activities conducted on multimedia sharing web sites reveal user attributes, such as age, gender, and personal interest, which have been exploited for user modeling, retrieval, and personalization. While existing user modeling solutions are devoted to inferring user attribute independently, in this chapter, we investigate the problem of relational user attribute inference. The task of attribute relation mining and user attribute inference are addressed in a unified framework.

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Notes

  1. 1.

    http://www.youtube.com/yt/press/statistics.html.

  2. 2.

    http://expandedramblings.com/index.php/by-the-numbers-17-amazing-facebook-stats.

  3. 3.

    http://socialstatistics.com/top/people.

  4. 4.

    http://www.gplusdata.com/.

  5. 5.

    In the following sections of this chapter, we will mix the usage of “attribute” and “attribute value” when no ambiguity is caused.

  6. 6.

    http://www.facebook.com/.

  7. 7.

    http://www.wikipedia.org/.

  8. 8.

    http://socialstatistics.com/.

  9. 9.

    http://www.faceplusplus.com/en/.

  10. 10.

    https://www.facebook.com/about/graphsearch.

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Authors and Affiliations

  1. National Lab of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China

    Jitao Sang

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  1. Jitao Sang
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Correspondence to Jitao Sang .

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Sang, J. (2014). User Modeling on Social Multimedia Activity. In: User-centric Social Multimedia Computing. Springer Theses. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-44671-3_3

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  • DOI: https://doi.org/10.1007/978-3-662-44671-3_3

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-44670-6

  • Online ISBN: 978-3-662-44671-3

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