Modeling score distributions for combining the outputs of search engines

Keywords

Search engine indexing, Search engine, Computer science, Set (abstract data type), Information retrieval

References

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• Predicting the performance of linearly combined IR systemsChristopher C. Vogt, Garrison W. Cottrell — 1998
• Bayes optimal metasearch: a probabilistic model for combining the results of multiple retrieval systems (poster session)Javed A. Aslam, Mark Montague — 2000
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• Bayes Optimal Metasearch: A Probabilistic Model for Combining the Results of Multiple Retrieval SystemsJaved A. Aslam, Mark Montague — 2000

Cited by

• Combining Evidence from Unconstrained Spoken Term Frequency Estimation for Improved Speech RetrievalDouglas W. Oard, James Scott Olsson — 2008
• Autocorrelation and regularization of query-based information retrieval scoresJames Allan, Fernando Díaz — 2008
• Rough set-based reasoning and pattern mining for information filteringXujuan Zhou — 2008
• Mining for evidence in enterprise corporaBrian Almquist, Padmini Srinivasan, Nick Street — 2011
• Metasearch and Federation using Query Difficulty PredictionElad Yom‐Tov, Shai Fine, David Carmel — 2005
• Using Models of Score Distributions in Information RetrievalR. Manmatha, Fan Feng — 2001
• Information Theoretic Query Context Detection for Web Information RetrievalVassilis Plachouras, Iadh Ounis — 2003
• Getting What You Want: Accurate Document Filtering in a Terabyte WorldJamie Callan — 2002
• Query performance prediction based on ranking list dispersionJoaquín Pérez-Iglesias — 2009
• University of Glasgow at the Robust Track- A Query-based Model Selection Approach for the Poorly-Performing QueriesBen He, Iadh Ounis — 2003
• An investigation into weighted data fusion for content-based multimedia information retrievalPeter Wilkins — 2009
• Approches textuelles pour la catégorisation et la recherche de documents manuscrits en-ligne. (Text-based approaches to on-line handwritten document categorization and retrieval)Sebastián Peña Saldarriaga — 2010
• Using Context to Assist in Personal File Retrieval (CMU-CS-06-147)Craig A. N. Soules — 2006
• Seeing the forest from trees: Blog retrieval by aggregating post similarity scoresZhixin Zhou, Xiuzhen Zhang (18029371), Phil Vines — 2010
• Architecting protocols to enable mobile applications in diverse wireless networksBrian Neil Levine, Arun Venkataramani, Aruna Balasubramanian — 2011
• From Retrieval Status Values to Probabilities of Relevance for Advanced IR ApplicationsHenrik Nottelmann, Norbert Fuhr — 2003
• On Collection Size and Retrieval EffectivenessDavid Hawking, Stephen Robertson — 2004
• The Hedge Algorithm for Metasearch at TREC 2006Javed A. Aslam, Virgiliu Pavlu, Carlos Rei — 2006
• Distributed Information Retrieval For Disruption-Tolerant Mobile NetworksYun Zhao, Brian Neil Levine, W. Bruce Croft — 2005
• Cranking: Combining Rankings Using Conditional Probability Models on PermutationsGuy Lebanon, John Lafferty — 2002

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