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» The maximum entropy method for analyzing retrieval measures
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ECIR
2010
Springer
13 years 4 months ago
Maximum Margin Ranking Algorithms for Information Retrieval
Abstract. Machine learning ranking methods are increasingly applied to ranking tasks in information retrieval (IR). However ranking tasks in IR often differ from standard ranking t...
Shivani Agarwal, Michael Collins
CIKM
2009
Springer
14 years 1 months ago
MatchSim: a novel neighbor-based similarity measure with maximum neighborhood matching
The problem of measuring similarity between web pages arises in many important Web applications, such as search engines and Web directories. In this paper, we propose a novel neig...
Zhenjiang Lin, Michael R. Lyu, Irwin King
AI
1998
Springer
13 years 6 months ago
Uncertainty Measures of Rough Set Prediction
The main statistics used in rough set data analysis, the approximation quality, is of limited value when there is a choice of competing models for predicting a decision variable. ...
Ivo Düntsch, Günther Gediga
SIGIR
2008
ACM
13 years 6 months ago
Measuring concept relatedness using language models
Over the years, the notion of concept relatedness has attracted considerable attention. A variety of approaches, based on ontology structure, information content, association, or ...
Dolf Trieschnigg, Edgar Meij, Maarten de Rijke, We...
EUROISI
2008
13 years 8 months ago
An Information Theory Approach to Identify Sets of Key Players
This paper presents an application of information theory to identify sets of key players in social networks. First, we define two entropy measures that we use to analyze the struct...
Daniel Ortiz Arroyo, Dil Muhammad Akbar Hussain