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» Evaluation of Query Performance Prediction Methods by Range
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CIKM
2004
Springer
15 years 5 months ago
A framework for selective query expansion
Query expansion is a well-known technique that has been shown to improve average retrieval performance. This technique has not been used in many operational systems because of the...
Stephen Cronen-Townsend, Yun Zhou, W. Bruce Croft
TON
2010
167views more  TON 2010»
14 years 6 months ago
A Machine Learning Approach to TCP Throughput Prediction
TCP throughput prediction is an important capability in wide area overlay and multi-homed networks where multiple paths may exist between data sources and receivers. In this paper...
Mariyam Mirza, Joel Sommers, Paul Barford, Xiaojin...
WWW
2007
ACM
16 years 11 days ago
Automatic search engine performance evaluation with click-through data analysis
Performance evaluation is an important issue in Web search engine researches. Traditional evaluation methods rely on much human efforts and are therefore quite time-consuming. Wit...
Yiqun Liu, Yupeng Fu, Min Zhang, Shaoping Ma, Liyu...
ICML
2008
IEEE
16 years 15 days ago
Predicting diverse subsets using structural SVMs
In many retrieval tasks, one important goal involves retrieving a diverse set of results (e.g., documents covering a wide range of topics for a search query). First of all, this r...
Yisong Yue, Thorsten Joachims
PDPTA
2004
15 years 1 months ago
Static Performance Evaluation for Memory-Bound Computing: The MBRAM Model
We present the MBRAM model for static evaluation of the performance of memory-bound programs. The MBRAM model predicts the actual running time of a memory-bound program directly fr...
Gene Cooperman, Xiaoqin Ma, Viet Ha Nguyen