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Propagating user interests in ontology-based user model

Cena, Federica; Likavec, Silvia and Osborne, Francesco (2011). Propagating user interests in ontology-based user model. In: AI*IA 2011: Artificial Intelligence Around Man and Beyond: XIIth International Conference of the Italian Association for Artificial Intelligence, Palermo, Italy, September 15-17, 2011. Proceedings, Lecture Notes in Computer Science, Springer, pp. 299–311.

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DOI (Digital Object Identifier) Link: https://doi.org/10.1007/978-3-642-23954-0_28
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Abstract

In this paper we address the problem of propagating user interests in ontology-based user models. Our ontology-based user model (OBUM) is devised as an overlay over the domain ontology. Using ontologies as the basis of the user profile allows the initial user behavior to be matched with existing concepts in the domain ontology. Such ontological approach to user profiling has been proven successful in addressing the cold-start problem in recommender systems, since it allows for propagation from a small number of initial concepts to other related domain concepts by exploiting the ontological structure of the domain. The main contribution of the paper is the novel algorithm for propagation of user interests which takes into account i) the ontological structure of the domain and, in particular, the level at which each domain item is found in the ontology; ii) the type of feedback provided by the user, and iii) the amount of past feedback provided for a certain domain object.

Item Type: Conference or Workshop Item
Copyright Holders: 2011 Springer-Verlag GmbH Berlin Heidelberg
ISBN: 3-642-23953-6, 978-3-642-23953-3
Project Funding Details:
Funded Project NameProject IDFunding Body
PIEMONTE Project - People Interaction with Enhanced Multimodal Objects for a New Territory ExperienceNot SetNot Set
Keywords: user model; ontology; reccomender system; propagation of interests; similarity metrics; semantic web
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Item ID: 40456
Depositing User: Francesco Osborne
Date Deposited: 01 Jul 2014 09:54
Last Modified: 25 Sep 2017 12:56
URI: http://oro.open.ac.uk/id/eprint/40456
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