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» Using Document Dimensions for Enhanced Information Retrieval
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CIKM
2008
Springer
15 years 6 months ago
A latent variable model for query expansion using the hidden markov model
We propose a novel probabilistic method based on the Hidden Markov Model (HMM) to learn the structure of a Latent Variable Model (LVM) for query language modeling. In the proposed...
Qiang Huang, Dawei Song
HIS
2008
15 years 6 months ago
Implicit User Modelling Using Hybrid Meta-Heuristics
The requirements imposed on information retrieval systems are increasing steadily. The vast number of documents in today's large databases and especially on World Wide Web ca...
Pavel Krömer, Václav Snásel, Ja...
CIKM
2001
Springer
15 years 9 months ago
Query-Sensitive Similarity Measures for the Calculation of Interdocument Relationships
The application of document clustering to information retrieval has been motivated by the potential effectiveness gains postulated by the Cluster Hypothesis. The hypothesis states ...
Anastasios Tombros, C. J. van Rijsbergen
ECIR
2008
Springer
15 years 6 months ago
A Document-Centered Approach to a Natural Language Music Search Engine
We propose a new approach to a music search engine that can be accessed via natural language queries. As with existing approaches, we try to gather as much contextual information a...
Peter Knees, Tim Pohle, Markus Schedl, Dominik Sch...
KES
2006
Springer
15 years 4 months ago
M-OntoMat-Annotizer: Image Annotation Linking Ontologies and Multimedia Low-Level Features
Annotations of multimedia documents typically have been pursued in two different directions. Either previous approaches have focused on low level descriptors, such as dominant colo...
Kosmas Petridis, Dionysios Anastasopoulos, Carsten...