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» Set-based model: a new approach for information retrieval
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HICSS
2006
IEEE
114views Biometrics» more  HICSS 2006»
14 years 1 months ago
Detecting Document Genre for Personalization of Information Retrieval
We report on the effectiveness of language models for personalization of retrieval results based on a searcher’s preference for document genre. In principle, such preferences ca...
Gheorghe Muresan, Catherine L. Smith, Michael Cole...
IR
2008
13 years 7 months ago
A probability ranking principle for interactive information retrieval
The classical Probability Ranking Principle (PRP) forms the theoretical basis for probabilistic Information Retrieval (IR) models, which are dominating IR theory since about 20 ye...
Norbert Fuhr
KER
2008
106views more  KER 2008»
13 years 7 months ago
Personalized information retrieval based on context and ontological knowledge
Context modeling has been long acknowledged as a key aspect in a wide variety of problem domains. In this paper we focus on the combination of contextualization and personalizatio...
Phivos Mylonas, David Vallet, Pablo Castells, Miri...
CIKM
2005
Springer
14 years 1 months ago
Novelty detection based on sentence level patterns
The detection of new information in a document stream is an important component of many potential applications. In this paper, a new novelty detection approach based on the identi...
Xiaoyan Li, W. Bruce Croft
CSJM
2007
150views more  CSJM 2007»
13 years 7 months ago
An approach for NL text interpretation
For modeling the interpretation process of NL sentences we use the mechanisms implying semantic networks that assure syntactic – semantic text interpretation (SSI), including an...
Anatol Popescu, Sergiu Cretu