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» Set-based model: a new approach for information retrieval
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TFS
2008
117views more  TFS 2008»
13 years 7 months ago
A New Fuzzy Set Merging Technique Using Inclusion-Based Fuzzy Clustering
Abstract--This paper proposes a new method of merging parameterized fuzzy sets based on clustering in the parameters space, taking into account the degree of inclusion of each fuzz...
Samia Nefti, Mourad Oussalah, Uzay Kaymak
ICTIR
2009
Springer
14 years 2 months ago
Semi-parametric and Non-parametric Term Weighting for Information Retrieval
Abstract. Most of the previous research on term weighting for information retrieval has focused on developing specialized parametric term weighting functions. Examples include TF.I...
Donald Metzler, Hugo Zaragoza
CIKM
2008
Springer
13 years 9 months ago
Improve the effectiveness of the opinion retrieval and opinion polarity classification
Opinion retrieval is a document retrieving and ranking process. A relevant document must be relevant to the query and contain opinions toward the query. Opinion polarity classific...
Wei Zhang, Lifeng Jia, Clement T. Yu, Weiyi Meng
ECIR
2008
Springer
13 years 9 months ago
Utilizing Passage-Based Language Models for Document Retrieval
Abstract. We show that several previously proposed passage-based document ranking principles, along with some new ones, can be derived from the same probabilistic model. We use lan...
Michael Bendersky, Oren Kurland
ADC
2006
Springer
156views Database» more  ADC 2006»
14 years 1 months ago
A new approach to intelligent text filtering based on novelty detection
This paper presents an original approach to modelling user’s information need in text filtering environment. This approach relies on a specific novelty detection model which a...
Randa Kassab, Jean-Charles Lamirel