Context-Aware Service Recommendation for Moving Connected Devices

Finding and recommending suitable services for moving, connected devices are increasingly important due to the popularity of mobile Internet. While recent research has attempted to use role-based approaches to recommend services, role discovery is still an ongoing research topic. This paper proposes a simple and yet efficient, matrix-based, context-aware role mining method to automatically group users according to their interests and habits. Using a question-based approach, the authors also allow popular mobile services to be recommended to other members in the same group in a context dependent.

• Record URL:
  • https://doi.org/10.1109/ICCVE.2012.33
• Availability:
  • Find a library where document is available. Order URL: http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6519422
• Supplemental Notes:
  • Copyright © 2012, IEEE.
• Corporate Authors:

  Institute of Electrical and Electronics Engineers (IEEE)

  3 Park Avenue, 17th Floor
  New York, NY  United States  10016-5997
• Authors:
  • Wong, Raymond K
  • Chu, Victor W
  • Hao, Tianyong
  • Wang, Jian
• Conference:
  • 2012 International Conference on Connected Vehicles and Expo (ICCVE)
  • Location: Beijing , China
  • Date: 2012-12-12 to 2012-12-16
• Publication Date: 2012

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 136-141
• Monograph Title: 2012 International Conference on Connected Vehicles and Expo (ICCVE 2012)

Subject/Index Terms

• TRT Terms: Data mining; Internet service providers; Mobile communication systems
• Uncontrolled Terms: Context sensitive solutions
• Subject Areas: Data and Information Technology; Highways; Vehicles and Equipment;

Filing Info

• Accession Number: 01616826
• Record Type: Publication
• ISBN: 9781467347051
• Files: TRIS
• Created Date: Nov 21 2016 1:24PM