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A method for updating ontology-based user profile in Personalized Document Retrieval System using Bayesian networks.
- Source :
- Journal of Intelligent & Fuzzy Systems; 2019, Vol. 37 Issue 6, p7337-7346, 10p
- Publication Year :
- 2019
-
Abstract
- Traditional approaches to content-based recommendation and collaborative filtering do not suffer from cold-start problem, which is a challenge to recommend items for an unknown user. In this paper we present a Personalized Document Retrieval System which takes into account a social network information about the users. The overall idea of the system is to cluster users into groups of similar interests based on theirs usage data and to determine a representative profile for each of the groups. When a new user joins the system, he or she is classified into one of existing group based on his or her user data and the representative profile of the group becomes a starting profile for the new user. This paper focuses on a method for updating ontology-based user profile using Bayesian network approach. We analyze some properties of proposed updating method and describe an idea of experimental evaluations. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 10641246
- Volume :
- 37
- Issue :
- 6
- Database :
- Complementary Index
- Journal :
- Journal of Intelligent & Fuzzy Systems
- Publication Type :
- Academic Journal
- Accession number :
- 140922731
- Full Text :
- https://doi.org/10.3233/JIFS-179343