• DocumentCode
    3563936
  • Title

    Word-of-mouth recommender system using preference extraction based on IEC

  • Author

    Shimazaki, Jun ; Obo, Takenori ; Kubota, Naoyuki

  • Author_Institution
    Dept. of Syst. Design, Tokyo Metropolitan Univ., Hino, Japan
  • fYear
    2014
  • Firstpage
    930
  • Lastpage
    935
  • Abstract
    In this paper, we deal with a word-of-mouth recommender system with a human-friendly robot. First, we explain the background of conventional recommendation systems, and we discuss the availability of smart devices and robot partners for information support. Next, we describe the issues caused in the conventional recommendation method, and propose propose a word-of-mouth recommender system. Furthermore, we propose a preference extraction technique based on interactive evolutionary computation. Finally, we show preliminary experimental results and comparison results using the proposed method, and discuss the effectiveness of word-of-mouth recommender system.
  • Keywords
    evolutionary computation; human-robot interaction; interactive systems; recommender systems; IEC; human-friendly robot; information support; interactive evolutionary computation; preference extraction; preference extraction technique; robot partners; smart devices; word-of-mouth recommender system; Collaboration; Communities; IEC; Recommender systems; Robots; Senior citizens; Vectors; IEC; IGA; Interactive evolutionally computing; Recommender Systems; Word-of-mouth communication;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Soft Computing and Intelligent Systems (SCIS), 2014 Joint 7th International Conference on and Advanced Intelligent Systems (ISIS), 15th International Symposium on
  • Type

    conf

  • DOI
    10.1109/SCIS-ISIS.2014.7044892
  • Filename
    7044892