Term-based commercial intent analysis

  • Authors:
  • Azin Ashkan;Charles L.A. Clarke

  • Affiliations:
  • University of Waterloo, Waterloo, ON, Canada;University of Waterloo, Waterloo, ON, Canada

  • Venue:
  • Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
  • Year:
  • 2009

Quantified Score

Hi-index 0.00

Visualization

Abstract

In this work, we investigate the contribution of query terms and their corresponding ad click rates on commercial intent of queries. A probabilistic model is proposed following the hypothesis that a query is likely to receive ad clicks based on contributions from its individual terms.