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» Retrieval Status Values in Information Retrieval Evaluation
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KDD
1998
ACM
101views Data Mining» more  KDD 1998»
15 years 2 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
ERCIMDL
2008
Springer
111views Education» more  ERCIMDL 2008»
14 years 11 months ago
Information Retrieval and Filtering over Self-organising Digital Libraries
We present iClusterDL, a self-organising overlay network that supports information retrieval and filtering functionality in a digital library environment. iClusterDL is able to han...
Paraskevi Raftopoulou, Euripides G. M. Petrakis, C...
IPM
2006
81views more  IPM 2006»
14 years 9 months ago
An implicit feedback approach for interactive information retrieval
Searchers can face problems finding the information they seek. One reason for this is that they may have difficulty devising queries to express their information needs. In this ar...
Ryen W. White, Joemon M. Jose, Ian Ruthven
SIGIR
1998
ACM
15 years 2 months ago
How Reliable Are the Results of Large-Scale Information Retrieval Experiments?
Two stages in measurement of techniques for information retrieval are gathering of documents for relevance assessment and use of the assessments to numerically evaluate effective...
Justin Zobel
EATIS
2007
ACM
15 years 1 months ago
A methodology to design information retrieval systems (MDIRS)
MDIRS is methodology to define the actors and the steps to build efficiently information retrieval (IR) System. MDRIS main mission is to analyze, develop and evaluate mechanisms s...
João Ferreira, Alberto Silva, José D...