Intelligent Content Discovery on the Mobile Internet: Experiences and Lessons Learned

  • Barry Smyth University College Dublin
  • Paul Cotter ChangingWorlds
  • Stephen Oman ChangingWorlds


The mobile Internet represents a massive opportunity for mobile operators and content providers. Today there are more than 2 billion mobile subscribers, with 3 billion predicted by the end of 2007. However, despite significant improvements in handsets, infrastructure, content, and charging models, mobile users are still struggling to access and locate relevant content and services. An important part of this so-called content-discovery problem relates to the navigation effort that users must invest in browsing and searching for mobile content. In this article we describe one successfully deployed solution, which uses personalization technology to profile subscriber interests in order to automatically adapt mobile portals to their learned preferences. We present summary results, from our deployment experiences with more than 40 mobile operators and millions of subscribers around the world, which demonstrate how this solution can have a significant impact on portal usability, subscriber usage, and mobile operator revenues.

Author Biographies

Barry Smyth, University College Dublin
Principle Investigator, Adaptive Information Cluster, School of Computer Science and Informatics
Paul Cotter, ChangingWorlds
Chief Technical Officer
Stephen Oman, ChangingWorlds
Program Director
How to Cite
Smyth, B., Cotter, P., & Oman, S. (2008). Intelligent Content Discovery on the Mobile Internet: Experiences and Lessons Learned. AI Magazine, 29(1), 29.