• DocumentCode
    3482788
  • Title

    Toward service recommendation in Internet of Things

  • Author

    Mashal, Ibrahim ; Tein-Yaw Chung ; Alsaryrah, Osama

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Yuan Ze Univ., Jhongli, Taiwan
  • fYear
    2015
  • fDate
    7-10 July 2015
  • Firstpage
    328
  • Lastpage
    331
  • Abstract
    Internet of Things (IoT) is the next wave of industry revolution that generates significant amount of various services, such as personal health care and green energy monitoring, which people may subscribe for their convenience. These services may have different features, such as fixed or mobile, scalable or non-scalable, portable or non-portable. Thus, recommending IoT services to users based on objects they own will become very important for the success of IoT. In this preliminary work, we introduce the concept of service recommender systems in IoT by a formal model for IoT recommendation. We propose a graph-based recommender system that takes into account the unique structure of IoT.
  • Keywords
    Internet of Things; graph theory; mobile computing; recommender systems; Internet-of-things; IoT service recommendation; graph-based recommender system; green energy monitoring; personal health care; service recommender systems; social Web-of-things; Information filters; Internet of Things; Recommander Syatem; Social Web of Things; Tripartite Graph; Web of Things;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Ubiquitous and Future Networks (ICUFN), 2015 Seventh International Conference on
  • Conference_Location
    Sapporo
  • ISSN
    2288-0712
  • Type

    conf

  • DOI
    10.1109/ICUFN.2015.7182559
  • Filename
    7182559