Abstract
Searching for useful information is nowadays difficult because of the information overload problem in a global network consisting of heterogeneous sources. Intelligent information agents, or multiagent systems consisting of those, are one of the solutions to this problem. This paper is a short case study of existing information retrieval systems based on agent approaches. User profiles and searching issues are two main issues described and a functional categorization of independent profiling systems or independent searching systems is proposed, as well as a short description of a hybrid profiling and searching system.
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Maleszka, M., Mianowska, B., Nguyen, N.T. (2009). Agent Technology for Information Retrieval in Internet. In: Håkansson, A., Nguyen, N.T., Hartung, R.L., Howlett, R.J., Jain, L.C. (eds) Agent and Multi-Agent Systems: Technologies and Applications. KES-AMSTA 2009. Lecture Notes in Computer Science(), vol 5559. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01665-3_16
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DOI: https://doi.org/10.1007/978-3-642-01665-3_16
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