Hopfilter: An Agent for Filtering Web Pages Based on the Hopfield Artificial Neural Network Model

With the expansion of the Internet, the amount of information available is continuously reaching higher growth rates. This fact leads to the necessity of developing new advanced tools to collect and filter information that meets users’ preferences. This paper presents an agent that uses automatic in...

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Bibliographic Details
Published inData Management. Data, Data Everywhere pp. 164 - 167
Main Authors Adán-Coello, Juan Manuel, Tobar, Carlos Miguel, de Freitas, Ricardo Luís, Marin, Armando
Format Book Chapter
LanguageEnglish
Published Berlin, Heidelberg Springer Berlin Heidelberg
SeriesLecture Notes in Computer Science
Subjects
Concept Space
Document Content
Hopfield Neural Network
Information Dissemination
Information Retrieval
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Summary:With the expansion of the Internet, the amount of information available is continuously reaching higher growth rates. This fact leads to the necessity of developing new advanced tools to collect and filter information that meets users’ preferences. This paper presents an agent that uses automatic indexing, concept space generation, and a Hopfield artificial neural network to filter web pages according to users’ interests. The experiments that were conducted to evaluate the agent show that it has very satisfactory precision and coverage rates.
ISBN:9783540733898
3540733892
ISSN:0302-9743
1611-3349
DOI:10.1007/978-3-540-73390-4_16