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» Probability Kinematics in Information Retrieval
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CIKM
2005
Springer
14 years 3 months ago
Information retrieval and machine learning for probabilistic schema matching
Schema matching is the problem of finding correspondences (mapping rules, e.g. logical formulae) between heterogeneous schemas e.g. in the data exchange domain, or for distribute...
Henrik Nottelmann, Umberto Straccia
CIKM
2008
Springer
13 years 11 months ago
Translation enhancement: a new relevance feedback method for cross-language information retrieval
As an effective technique for improving retrieval effectiveness, relevance feedback (RF) has been widely studied in both monolingual and cross-language information retrieval (CLIR...
Daqing He, Dan Wu
SIGIR
2012
ACM
12 years 7 days ago
Explicit relevance models in intent-oriented information retrieval diversification
The intent-oriented search diversification methods developed in the field so far tend to build on generative views of the retrieval system to be diversified. Core algorithm compon...
Saul Vargas, Pablo Castells, David Vallet
ECIR
2009
Springer
14 years 7 months ago
Mean-Variance Analysis: A New Document Ranking Theory in Information Retrieval
Abstract. This paper concerns document ranking in information retrieval. In information retrieval systems, the widely accepted probability ranking principle (PRP) suggests that, fo...
Jun Wang
CIKM
2011
Springer
12 years 9 months ago
Ranking-based processing of SQL queries
A growing number of applications are built on top of search engines and issue complex structured queries. This paper contributes a customisable ranking-based processing of such qu...
Hany Azzam, Thomas Roelleke, Sirvan Yahyaei