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Term-based commercial intent analysis
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Annual ACM Conference on Research and Development in Information Retrieval archive
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval table of contents
Boston, MA, USA
POSTER SESSION: Posters table of contents
Pages 800-801  
Year of Publication: 2009
ISBN:978-1-60558-483-6
Authors
Azin Ashkan  University of Waterloo, Waterloo, ON, Canada
Charles L.A. Clarke  University of Waterloo, Waterloo, ON, Canada
Sponsors
SIGIR: ACM Special Interest Group on Information Retrieval
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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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.



Collaborative Colleagues:
Azin Ashkan: colleagues
Charles L.A. Clarke: colleagues