Discovering MARS: A Mobility Aware Recommender System

Recommender systems have radically changed the way people find products, services and information. They are a precious tool in e-commerce and other online services and have slowly been clawing their way into the real-world stage. Location is one of the variables that can be useful in this new situation. While this particular area has been the subject of some research, it can go even further with the exploration of mobility. In this work, the authors analyze the integration of mobility in a recommender system with real mobility data from a public transportation network. The authors developed an algorithm that incorporates location and frequency in a conventional recommender system. The results show successful recommendations of items adapted to users' mobility patterns.

Language

  • English

Media Info

  • Media Type: Web
  • Features: References;
  • Pagination: pp 1-6
  • Monograph Title: 18th International IEEE Conference on Intelligent Transportation Systems (ITSC 2015)

Subject/Index Terms

Filing Info

  • Accession Number: 01600876
  • Record Type: Publication
  • ISBN: 9781467365956
  • Files: TRIS
  • Created Date: May 2 2016 3:22PM