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» Improving People Search Using Query Expansions
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123
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KDD
2005
ACM
177views Data Mining» more  KDD 2005»
16 years 3 months ago
Query chains: learning to rank from implicit feedback
This paper presents a novel approach for using clickthrough data to learn ranked retrieval functions for web search results. We observe that users searching the web often perform ...
Filip Radlinski, Thorsten Joachims
SIGIR
2012
ACM
13 years 5 months ago
Modeling higher-order term dependencies in information retrieval using query hypergraphs
Many of the recent, and more effective, retrieval models have incorporated dependencies between the terms in the query. In this paper, we advance this query representation one st...
Michael Bendersky, W. Bruce Croft
ICMI
2009
Springer
105views Biometrics» more  ICMI 2009»
15 years 10 months ago
Grounding spatial prepositions for video search
Spatial language video retrieval is an important real-world problem that forms a test bed for evaluating semantic structures for natural language descriptions of motion on natural...
Stefanie Tellex, Deb Roy
SIGIR
2006
ACM
15 years 9 months ago
Semantic term matching in axiomatic approaches to information retrieval
A common limitation of many retrieval models, including the recently proposed axiomatic approaches, is that retrieval scores are solely based on exact (i.e., syntactic) matching o...
Hui Fang, ChengXiang Zhai
135
Voted
KDD
1995
ACM
109views Data Mining» more  KDD 1995»
15 years 7 months ago
An Iterative Improvement Approach for the Discretization of Numeric Attributes in Bayesian Classifiers
The Bayesianclassifier is a simple approachto classification that producesresults that are easy for people to interpret. In many cases, the Bayesianclassifieris at leastasaccurate...
Michael J. Pazzani