A method for knowledge integration of ontology-based user profiles in personalised document retrieval systems |
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Authors: | Bernadetta Maleszka |
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Institution: | 1. Faculty of Computer Science and Management, Wroclaw University of Science and Technology, Wroclaw, PolandBernadetta.Maleszka@pwr.edu.plhttps://orcid.org/0000-0001-6370-2913 |
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Abstract: | ABSTRACTThe development of the Internet exceeds the ways to obtain information. Nowadays, a user is overloaded by information from every domain. In our work, we consider a Personalised Document Retrieval System that gathers information about user interests, determines a user profile and helps the user to obtain relevant documents. The scope of the paper is to develop techniques for integrating knowledge about a group of users and determining a profile that represents the group. Such a profile is then used to avoid 'cold-start' problem in a personalisation system. Experimental evaluations were performed to check the effectiveness of the system. |
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Keywords: | Ontology-based user profile knowledge integration Bayesian network user profile recommendation 'cold-start' problem |
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