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» Document Retrieval using a Probabilistic Knowledge Model
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ECIR
2011
Springer
14 years 1 months ago
Back to the Roots: Mean-Variance Analysis of Relevance Estimations
Recently, mean-variance analysis has been proposed as a novel paradigm to model document ranking in Information Retrieval. The main merit of this approach is that it diversifies t...
Guido Zuccon, Leif Azzopardi, Keith van Rijsbergen
CIKM
2008
Springer
14 years 12 months ago
Generalized inverse document frequency
Inverse document frequency (IDF) is one of the most useful and widely used concepts in information retrieval. There have been various attempts to provide theoretical justification...
Donald Metzler
SIGIR
2006
ACM
15 years 3 months ago
Contextual search and name disambiguation in email using graphs
Similarity measures for text have historically been an important tool for solving information retrieval problems. In many interesting settings, however, documents are often closel...
Einat Minkov, William W. Cohen, Andrew Y. Ng
CLEF
2010
Springer
14 years 11 months ago
Validating Query Simulators: An Experiment Using Commercial Searches and Purchases
Abstract. We design and validate simulators for generating queries and relevance judgments for retrieval system evaluation. We develop a simulation framework that incorporates exis...
Bouke Huurnink, Katja Hofmann, Maarten de Rijke, M...
QEST
2007
IEEE
15 years 4 months ago
Probabilistic Model Checking Modulo Theories
— Probabilistic models are widely used to analyze embedded, networked, and more recently biological systems. Existing numerical analysis techniques are limited to finitestate mo...
Björn Wachter, Lijun Zhang, Holger Hermanns