Find this for me: mobile information retrieval on the open web

  • Authors:
  • Ifeyinwa Okoye;Jalal Mahmud;Tessa Lau;Julian Cerruti

  • Affiliations:
  • Univ of Colorado at Boulder, Boulder, CO, USA;IBM Research - Almaden, San Jose, CA, USA;IBM Research - Almaden, San Jose, CA, USA;IBM Argentina, Buenos Aires, Argentina

  • Venue:
  • Proceedings of the 16th international conference on Intelligent user interfaces
  • Year:
  • 2011

Quantified Score

Hi-index 0.00

Visualization

Abstract

With all the information available on the web, there is a growing need to provide mobile access to this information for the large, growing population of mobile internet users. In this paper, we propose a solution to the problem of open web mobile information retrieval, by conducting a dialogue with the user over a simple text-based interface. Using techniques from NLP, web page analysis, and information extraction, our approach automatically navigates web sites on the user's behalf and extracts specific information from those sites to present to the user textually. Empirical evaluation shows that our approach to open web information retrieval is feasible, and a qualitative evaluation validates that such a system meets user needs for mobile information access.