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» Learning-based Query Performance Modeling and Prediction
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128
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PODS
1998
ACM
152views Database» more  PODS 1998»
15 years 3 months ago
A Cost Model for Similarity Queries in Metric Spaces
We consider the problem of estimating CPU (distance computations) and I/O costs for processing range and k-nearest neighbors queries over metric spaces. Unlike the specific case ...
Paolo Ciaccia, Marco Patella, Pavel Zezula
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
SIGIR
2008
ACM
14 years 11 months ago
A unified and discriminative model for query refinement
This paper addresses the issue of query refinement, which involves reformulating ill-formed search queries in order to enhance relevance of search results. Query refinement typica...
Jiafeng Guo, Gu Xu, Hang Li, Xueqi Cheng
ICDE
2005
IEEE
172views Database» more  ICDE 2005»
15 years 5 months ago
Monitoring K-Nearest Neighbor Queries Over Moving Objects
Many location-based applications require constant monitoring of k-nearest neighbor (k-NN) queries over moving objects within a geographic area. Existing approaches to this problem...
Xiaohui Yu, Ken Q. Pu, Nick Koudas
109
Voted
CIKM
2011
Springer
13 years 11 months ago
Semi-supervised multi-task learning of structured prediction models for web information extraction
Extracting information from web pages is an important problem; it has several applications such as providing improved search results and construction of databases to serve user qu...
Paramveer S. Dhillon, Sundararajan Sellamanickam, ...