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» Set-based model: a new approach for information retrieval
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SIGIR
1999
ACM
13 years 11 months ago
A Hidden Markov Model Information Retrieval System
We present a new method for information retrievalusing hidden Markov models (HMMs). We develop a general framework for incorporating multiple word generation mechanisms within the...
David R. H. Miller, Tim Leek, Richard M. Schwartz
ITCC
2002
IEEE
14 years 13 days ago
A Methodology for Collection Selection in Heterogeneous Contexts
In this paper we demonstrate that in an ideal Distributed Information Retrieval environment, taking the ability of each collection server to return relevant documents into account...
Faiza Abbaci, Michel Beigbeder, Jacques Savoy
ACL
2009
13 years 5 months ago
Optimizing Language Model Information Retrieval System with Expectation Maximization Algorithm
Statistical language modeling (SLM) has been used in many different domains for decades and has also been applied to information retrieval (IR) recently. Documents retrieved using...
Justin Liang-Te Chiu, Jyun-Wei Huang
IIR
2010
13 years 9 months ago
An Ontological Representation of Documents and Queries for Information Retrieval Systems
This paper presents a vector space model approach, for representing documents and queries, using concepts instead of terms and WordNet as a light ontology. This way, information o...
Mauro Dragoni, Célia da Costa Pereira, Andr...
CIKM
2009
Springer
14 years 2 months ago
A machine learning approach for improved BM25 retrieval
Despite the widespread use of BM25, there have been few studies examining its effectiveness on a document description over single and multiple field combinations. We determine t...
Krysta Marie Svore, Christopher J. C. Burges