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

Masaya Maejima, Ryota Yokote, Yasuo Matsuyama

    研究成果: Conference contribution

    1 被引用数 (Scopus)

    抄録

    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.

    本文言語English
    ホスト出版物のタイトルLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    ページ267-274
    ページ数8
    7667 LNCS
    PART 5
    DOI
    出版ステータスPublished - 2012
    イベント19th International Conference on Neural Information Processing, ICONIP 2012 - Doha
    継続期間: 2012 11 122012 11 15

    出版物シリーズ

    名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    番号PART 5
    7667 LNCS
    ISSN(印刷版)03029743
    ISSN(電子版)16113349

    Other

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

    ASJC Scopus subject areas

    • Computer Science(all)
    • Theoretical Computer Science

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