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» Using Document Dimensions for Enhanced Information Retrieval
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143
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SIGIR
2006
ACM
15 years 11 months ago
A framework to predict the quality of answers with non-textual features
New types of document collections are being developed by various web services. The service providers keep track of non-textual features such as click counts. In this paper, we pre...
Jiwoon Jeon, W. Bruce Croft, Joon Ho Lee, Soyeon P...
FLAIRS
2007
15 years 7 months ago
Indexing Documents by Discourse and Semantic Contents from Automatic Annotations of Texts
The basic aim of the model proposed here is to automatically build semantic metatext structure for texts that would allow us to search and extract discourse and semantic informati...
Brahim Djioua, Jean-Pierre Desclés
150
Voted
ECIR
2010
Springer
15 years 6 months ago
Text Clustering for Peer-to-Peer Networks with Probabilistic Guarantees
Text clustering is an established technique for improving quality in information retrieval, for both centralized and distributed environments. However, for highly distributed envir...
Odysseas Papapetrou, Wolf Siberski, Norbert Fuhr
WWW
2005
ACM
16 years 5 months ago
Automatically learning document taxonomies for hierarchical classification
While several hierarchical classification methods have been applied to web content, such techniques invariably rely on a pre-defined taxonomy of documents. We propose a new techni...
Kunal Punera, Suju Rajan, Joydeep Ghosh
155
Voted
IR
2007
15 years 4 months ago
Searching strategies for the Bulgarian language
This paper reports on the underlying IR problems encountered when indexing and searching with the Bulgarian language. For this language we propose a general light stemmer and demon...
Jacques Savoy