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» Document Retrieval using a Probabilistic Knowledge Model
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KDD
1998
ACM
101views Data Mining» more  KDD 1998»
13 years 11 months ago
Probabilistic Modeling for Information Retrieval with Unsupervised Training Data
We apply a well-known Bayesian probabilistic model to textual information retrieval: the classification of documents based on their relevance to a query. This model was previously...
Ernest P. Chan, Santiago Garcia, Salim Roukos
TSE
2002
99views more  TSE 2002»
13 years 6 months ago
Recovering Traceability Links between Code and Documentation
Software system documentation is almost always expressed informally in natural language and free text. Examples include requirement specifications, design documents, manual pages, ...
Giuliano Antoniol, Gerardo Canfora, Gerardo Casazz...
CIKM
2007
Springer
14 years 27 days ago
Query expansion using probabilistic local feedback with application to multimedia retrieval
As one of the most effective query expansion approaches, local feedback is able to automatically discover new query terms and improve retrieval accuracy for different retrieval ...
Rong Yan, Alexander G. Hauptmann
EDBT
1998
ACM
114views Database» more  EDBT 1998»
13 years 11 months ago
HySpirit - A Probabilistic Inference Engine for Hypermedia Retrieval in Large Databases
Abstract. HySpirit is a retrieval engine for hypermedia retrieval integrating concepts from information retrieval (IR) and deductive databases. The logical view on IR models retrie...
Norbert Fuhr, Thomas Rölleke
CIKM
2009
Springer
13 years 4 months ago
Probabilistic models of ranking novel documents for faceted topic retrieval
Traditional models of information retrieval assume documents are independently relevant. But when the goal is retrieving diverse or novel information about a topic, retrieval mode...
Ben Carterette, Praveen Chandar