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» CLIR Evaluation at TREC
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CEAS
2008
Springer
13 years 10 months ago
Filtering Email Spam in the Presence of Noisy User Feedback
Recent email spam filtering evaluations, such as those conducted at TREC, have shown that near-perfect filtering results are attained with a variety of machine learning methods wh...
D. Sculley, Gordon V. Cormack
SIGIR
2008
ACM
13 years 8 months ago
User preference choices for complex question answering
Question answering systems increasingly need to deal with complex information needs that require more than simple factoid answers. The evaluation of such systems is usually carrie...
Mingfang Wu, Falk Scholer, Andrew Turpin
SIGIR
2012
ACM
11 years 11 months ago
Time-based calibration of effectiveness measures
Many current effectiveness measures incorporate simplifying assumptions about user behavior. These assumptions prevent the measures from reflecting aspects of the search process...
Mark D. Smucker, Charles L. A. Clarke
CIARP
2003
Springer
14 years 1 months ago
Extended Star Clustering Algorithm
Abstract. In this paper we propose the extended star clustering algorithm and compare it with the original star clustering algorithm. We introduce a new concept of star and as a co...
Reynaldo Gil-García, José Manuel Bad...
NAACL
2004
13 years 10 months ago
Comparison of two interactive search refinement techniques
The paper presents two approaches to interactively refining user search formulations and their evaluation in the new High Accuracy Retrieval from Documents (HARD) track of TREC-12...
Olga Vechtomova, Murat Karamuftuoglu