NDLI: A Multi-agent System Using Ontological User Profiles for Dynamic User Modelling

Content Provider	IEEE Xplore Digital Library
Author	Hawalah, A. Fasli, M.
Copyright Year	2011
Abstract	A key feature in developing an effective web personalization system is to build and model dynamic user profiles. In this paper, we propose a multi-agent approach for building a dynamic user profile that is effectively capable of learning and adapting to user behaviour. The main goal is to implicitly track user browsing behaviour in order to extract short-term and long-term user interests. User interests are represented as ontological concepts which are constructed by mapping web pages visited by a user to a reference ontology. In this paper, we focus on the learning and the adaptation processes that are essential in modelling a dynamic user profile. Our proposed model has been integrated with a personalized search system and experiments show that our system is able to effectively model a dynamic user profile that is capable of learning and adapting to user behaviour. Experiments also show that our model achieved a higher performance than non-personalized system.
Starting Page	430
Ending Page	437
File Size	572192
Page Count	8
File Format	PDF
ISBN	9781457713736
DOI	10.1109/WI-IAT.2011.76
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-08-22
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Adaptation models modelling user profile personalization Multiagent systems search engine Buildings Web pages Ontologies multi-agent system Educational institutions Internet
Content Type	Text
Resource Type	Article

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