Information overload is one of the most important problems in context of personalized document retrieval systems. In this paper we propose to use ontology-based user profile. Ontological structures are appropriate to represent relations between concepts in user profile. We present a method for determining representative profile of users’ group. Two users are in the same group when their interests (profiles) are similar. If a new user is classify to a group, a system can recommend him a representative profile to avoid,,cold-start problem”. Results obtained in experimental evaluation are promising. Method presented in this paper is a crucial part of developed personalized document retrieval system.
CITATION STYLE
Maleszka, B. (2016). A method for determining representative of ontology-based user profile in personalized document retrieval systems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9621, pp. 202–211). Springer Verlag. https://doi.org/10.1007/978-3-662-49381-6_20
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