• DocumentCode
    237431
  • Title

    SMoCoR: A Smart Mobile Contact Recommender Based on Smart Phone Data

  • Author

    Xiwei Zhuang ; Yanchun Sun ; Kui Wei

  • Author_Institution
    Key Lab. of High Confidence Software Technol., Peking Univ., Beijing, China
  • fYear
    2014
  • fDate
    21-25 July 2014
  • Firstpage
    634
  • Lastpage
    635
  • Abstract
    This paper presents SMoCoR, a smart mobile contact recommender based on smart phone data. It recommends the most appropriate way to contact friends according to friends´ current condition. In no emergency condition, SMoCoR achieves two goals. First, the recommended contacts disturb friends least, that means, it will tell whether it´s suitable to call friends. Second, the recommended contact makes the communication information accessible to the friends and gets replies from the friends as soon as possible. For the goals above, SMoCoR takes friends´ calendar data and smart phone data as inputs, and after several steps of calculation it will recommend a list of contacts ranked by intelligent algorithm according to the appropriateness. The experimental results based on real-user data show that SMoCoR provides an efficient and accurate means for contact recommendation.
  • Keywords
    artificial intelligence; recommender systems; smart phones; SMoCoR; calendar data; contact recommendation; intelligent algorithm; smart mobile contact recommender; smart phone data; Calendars; Conferences; Educational institutions; Mobile communication; Smart phones; Software; Contact recommender; mobile applications; service;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Software and Applications Conference (COMPSAC), 2014 IEEE 38th Annual
  • Conference_Location
    Vasteras
  • Type

    conf

  • DOI
    10.1109/COMPSAC.2014.47
  • Filename
    6899280