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Evaluation of Filtering Current News Search Results Steven M. Beitzel, Eric C. Jensen, Abdur Chowdhury, David Grossman, Ophir Frieder
 

Summary: Evaluation of Filtering Current News Search Results
Steven M. Beitzel, Eric C. Jensen, Abdur Chowdhury, David Grossman, Ophir Frieder
Information Retrieval Laboratory
Illinois Institute of Technology
10 W. 35th
Street
Chicago, IL 60616
{steve,ej,abdur,grossman,frieder}@ir.iit.edu
ABSTRACT
We describe an evaluation of result set filtering techniques for
providing ultra-high precision in the task of presenting related news
for general web queries. In this task, the negative user experience
generated by retrieving non-relevant documents has a much worse
impact than not retrieving relevant ones. We adapt cost-based
metrics from the document filtering domain to this result filtering
problem in order to explicitly examine the tradeoff between missing
relevant documents and retrieving non-relevant ones. A large
manual evaluation of three simple threshold filters shows that the
basic approach of counting matching title terms outperforms also
incorporating selected abstract terms based on part-of-speech or

  

Source: Argamon, Shlomo - Department of Computer Science, Illinois Institute of Technology

 

Collections: Computer Technologies and Information Sciences