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A method for knowledge integration of ontology-based user profiles in personalised document retrieval systems
Authors:Bernadetta Maleszka
Institution:1. Faculty of Computer Science and Management, Wroclaw University of Science and Technology, Wroclaw, PolandBernadetta.Maleszka@pwr.edu.plORCID Iconhttps://orcid.org/0000-0001-6370-2913
Abstract:ABSTRACT

The 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.
Keywords:Ontology-based user profile  knowledge integration  Bayesian network  user profile recommendation  'cold-start' problem
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