Composite data mapping for spherical GUI design: Clustering of must-watch and no-need TV programs

Masaya Maejima, Ryota Yokote, Yasuo Matsuyama

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    1 Citation (Scopus)

    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.

    Original languageEnglish
    Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Pages267-274
    Number of pages8
    Volume7667 LNCS
    EditionPART 5
    DOIs
    Publication statusPublished - 2012
    Event19th International Conference on Neural Information Processing, ICONIP 2012 - Doha
    Duration: 2012 Nov 122012 Nov 15

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    NumberPART 5
    Volume7667 LNCS
    ISSN (Print)03029743
    ISSN (Electronic)16113349

    Other

    Other19th International Conference on Neural Information Processing, ICONIP 2012
    CityDoha
    Period12/11/1212/11/15

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    Keywords

    • big data
    • Clustering
    • GUI design
    • multi-dimensional scaling
    • TV programs

    ASJC Scopus subject areas

    • Computer Science(all)
    • Theoretical Computer Science

    Cite this

    Maejima, M., Yokote, R., & Matsuyama, Y. (2012). Composite data mapping for spherical GUI design: Clustering of must-watch and no-need TV programs. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (PART 5 ed., Vol. 7667 LNCS, pp. 267-274). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7667 LNCS, No. PART 5). https://doi.org/10.1007/978-3-642-34500-5_32