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Composite Data Mapping for Spherical GUI Design: Clustering of Must-Watch and No-Need TV Programs

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Neural Information Processing (ICONIP 2012)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7667))

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Abstract

Mapping tools applicable to big data of composite elements are designed based on a machine learning approach. The central method adopted is the multi-dimensional scaling (MDS). The data set is mapped onto a continuous surface such as a sphere. For checking to see the effectiveness of this method, preliminary experiments on the local optimality were conducted. Supported by those results, the main target for the application in this paper is the design for a spherical GUI (Graphical User Interface) which presents “must-watch” and “no-need” program clusters in TV big data. This GUI shows a certain genre of programs at around the North Pole. Programs having an opposite genre placed at around the South Pole. Since all-recording systems of TV programs are within the realm of home appliances, this GUI can be expected to be one of necessary tools for a video culture.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, Waseda University, Tokyo, 169-8555, Japan

    Masaya Maejima, Ryota Yokote & Yasuo Matsuyama

Authors
  1. Masaya Maejima
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  2. Ryota Yokote
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  3. Yasuo Matsuyama
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Editor information

Editors and Affiliations

  1. Texas A&M University at Qatar, Education City, P.O. Box 23874, Doha, Qatar

    Tingwen Huang

  2. Department of Control Science and Engineering, Huazhong University of Science and Technology, 1037 Luoyu Road, 430074, Wuhan, Hubei, China

    Zhigang Zeng

  3. College of Computer Science, Chongqing University, 174 Shazhengjie Street, 400044, Chongqing, China

    Chuandong Li

  4. Department of Electronic Engineering, City University of Hong Kong, 83 Tat Chee Avenue, Kowloon, Hong Kong, China

    Chi Sing Leung

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© 2012 Springer-Verlag Berlin Heidelberg

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Maejima, M., Yokote, R., Matsuyama, Y. (2012). Composite Data Mapping for Spherical GUI Design: Clustering of Must-Watch and No-Need TV Programs. In: Huang, T., Zeng, Z., Li, C., Leung, C.S. (eds) Neural Information Processing. ICONIP 2012. Lecture Notes in Computer Science, vol 7667. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34500-5_32

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  • DOI: https://doi.org/10.1007/978-3-642-34500-5_32

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-34499-2

  • Online ISBN: 978-3-642-34500-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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