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...
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...
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...
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...
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...