ACM SIGIR Forum
Automatic concept classification of text from electronic meetings
Communications of the ACM
The SMART and SIRE experimental retrieval systems
Readings in information retrieval
The SIFT information dissemination system
ACM Transactions on Database Systems (TODS)
Information Retrieval
A business intelligence system
IBM Journal of Research and Development
Hopfilter: an agent for filtering web pages based on the hopfield artificial neural network model
BNCOD'07 Proceedings of the 24th British national conference on Databases
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The immense amount of unstructured information available on the Web poses increasing difficulties to fulfill users' needs. New tools are needed to automatically collect and filter information that meets users' demands. This paper presents the architecture of a personal information agent that mines web sources and retrieves documents according to users' interests. The agent operates in two modes: "generation of space of concepts" and "document filtering". A space of concepts for a domain is represented by a matrix of asymmetrical coefficients of similarity for each pair of relevant terms in the domain. This matrix is seen as a Hopfield neural network, used for document filtering, where terms represent neurons and the coefficients of similarity the weights of the links that connect the neurons. Experiments conducted to evaluate the approach show that it exhibits satisfactory effectiveness.