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Super-Light Recommendation for Social Media on Mobile Terminal

Research Project

Project/Area Number 25330132
Research Category

Grant-in-Aid for Scientific Research (C)

Allocation TypeMulti-year Fund
Section一般
Research Field Multimedia database
Research InstitutionOnomichi City University

Principal Investigator

Takayama Tsuyoshi  尾道市立大学, 経済情報学部, 教授 (70275402)

Project Period (FY) 2013-04-01 – 2016-03-31
Project Status Completed (Fiscal Year 2015)
Budget Amount *help
¥4,160,000 (Direct Cost: ¥3,200,000、Indirect Cost: ¥960,000)
Fiscal Year 2015: ¥130,000 (Direct Cost: ¥100,000、Indirect Cost: ¥30,000)
Fiscal Year 2014: ¥2,080,000 (Direct Cost: ¥1,600,000、Indirect Cost: ¥480,000)
Fiscal Year 2013: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
Keywordsレコメンデーション / 携帯端末 / スマートフォン / iPhone / Android / プログラミング方式 / ユーザ限定
Outline of Final Research Achievements

When we carry out special light recommendation for social media on mobile terminal, the most adequate method is to recommend based on communication on '(1) community site provided with item seller company seen in such as convenience store 'L' company or fast food 'M' company'. We should recommend a corresponding item toward user who has given a favourable response including 'like'. On the other hand, in the case of recommendation based on '(2) community site provided with a human including excepting item seller company', it is not easy to limit a certain item concretely. Even if we carry out various inventions, its preciseness is inferior to in the case of (1).

Report

(4 results)
  • 2015 Annual Research Report   Final Research Report ( PDF )
  • 2014 Research-status Report
  • 2013 Research-status Report
  • Research Products

    (5 results)

All 2016 2015 2013

All Journal Article (2 results) (of which Peer Reviewed: 2 results) Presentation (3 results)

  • [Journal Article] Improvement of Recommendation List Effectiveness Using Familiarity2013

    • Author(s)
      J. Wu, T. Takayama, N. Sato, and Y. Murata
    • Journal Title

      NAUN International Journal of Systems Engineering, Applications and Development

      Volume: Vol.7, Issue 1 Pages: 22-32

    • Related Report
      2013 Research-status Report
    • Peer Reviewed
  • [Journal Article] On Picking up Method of Expectable Customers in Recommendation2013

    • Author(s)
      T. Takayama, M. Etsumori, N. Sato, and Y. Murata
    • Journal Title

      NAUN International Journal of Systems Engineering, Applications and Development

      Volume: Vol.7, Issue 1 Pages: 13-21

    • Related Report
      2013 Research-status Report
    • Peer Reviewed
  • [Presentation] 尾道市におけるお土産購入プランニングシステム2016

    • Author(s)
      岡田直大,高山毅
    • Organizer
      情報処理学会第78回全国大会
    • Place of Presentation
      慶應義塾大学矢上キャンパス
    • Year and Date
      2016-03-10
    • Related Report
      2015 Annual Research Report
  • [Presentation] 尾道再訪誘導案内システム2016

    • Author(s)
      内園優希,高山毅
    • Organizer
      情報処理学会第78回全国大会
    • Place of Presentation
      慶應義塾大学矢上キャンパス
    • Year and Date
      2016-03-10
    • Related Report
      2015 Annual Research Report
  • [Presentation] 携帯端末上でのソーシャルメディア向け超軽便レコメンデーションの開発に向けて2015

    • Author(s)
      高山 毅
    • Organizer
      SCI'15(第59回システム制御情報学会研究発表講演会)
    • Place of Presentation
      中央電気倶楽部(大阪市北区)
    • Year and Date
      2015-05-20
    • Related Report
      2014 Research-status Report

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Published: 2014-07-25   Modified: 2019-07-29  

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