Title :
Information retrieval model based on neural networks using neighborhood
Author :
Guezouli, Larbi ; Kadache, Amine
Author_Institution :
Dept. of Comput. Sci., Univ. of Batna, Batna, Algeria
Abstract :
The information plays an inevitable role in the handling systems of numerical data existing today. The amount of information handled by various organizations in the world today is high and its management without the computer is no longer imaginable. Information Retrieval (IR) is a research area in computer science whose goal is to facilitate access to a set of documents in electronic form (corpus) and allow a user to find the relevant ones for him, that is to say, those whose content best matches the information needs of the user. We propose in this paper a system called “Neuro-RI” putting into practice our model of information retrieval based on neural networks with neighborhood.
Keywords :
document handling; information retrieval; neural nets; IR; Neuro-RI; computer science; electronic form; handling systems; information retrieval model; neural networks; numerical data; Biological neural networks; Biological system modeling; Indexing; Information retrieval; Neurons; Neuro_IR; data mining; information retrieval; neural networks;
Conference_Titel :
Information Technology and e-Services (ICITeS), 2012 International Conference on
Conference_Location :
Sousse
Print_ISBN :
978-1-4673-1167-0
DOI :
10.1109/ICITeS.2012.6216591