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» Biterm language models for document retrieval
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HICSS
2006
IEEE
163views Biometrics» more  HICSS 2006»
14 years 1 months ago
Learning Ranking vs. Modeling Relevance
The classical (ad hoc) document retrieval problem has been traditionally approached through ranking according to heuristically developed functions (such as tf.idf or bm25) or gene...
Dmitri Roussinov, Weiguo Fan
CIKM
2005
Springer
14 years 27 days ago
Discretization based learning approach to information retrieval
We approached the problem as learning how to order documents by estimated relevance with respect to a user query. Our support vector machines based classifier learns from the rele...
Dmitri Roussinov, Weiguo Fan, Fernando A. Das Neve...
CIKM
2009
Springer
14 years 1 months ago
Effective and efficient structured retrieval
Search engines that support structured documents typically support structure created by the author (e.g., title, section), and may also support structure added by an annotation pr...
Le Zhao, Jamie Callan
CICLING
2010
Springer
13 years 11 months ago
Word Length n-Grams for Text Re-use Detection
Abstract. The automatic detection of shared content in written documents –which includes text reuse and its unacknowledged commitment, plagiarism– has become an important probl...
Alberto Barrón-Cedeño, Chiara Basile...
SIGIR
2003
ACM
14 years 18 days ago
Generating hierarchical summaries for web searches
Hierarchies provide a means of organizing, summarizing and accessing information. We describe a method for automatically generating hierarchies from small collections of text, and...
Dawn J. Lawrie, W. Bruce Croft