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2004
ACM

Evaluation of filtering current news search results

9 years 3 months ago
Evaluation of filtering current news search results
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 ating selected abstract terms based on part-of-speech or higher-level linguistic structures. Simultaneously, leveraging these cost-based metrics allows us to explicitly determine what other tasks would benefit from these alternative techniques. Categories and Subject Descriptors: H.3.5 [Information Storage and Retrieval]: Online Informatio...
Steven M. Beitzel, Eric C. Jensen, Abdur Chowdhury
Added 30 Jun 2010
Updated 30 Jun 2010
Type Conference
Year 2004
Where SIGIR
Authors Steven M. Beitzel, Eric C. Jensen, Abdur Chowdhury, David A. Grossman, Ophir Frieder
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