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A multi-agent system using ontological user profiles for dynamic user modelling

Hawalah, A and Fasli, M (2011) A multi-agent system using ontological user profiles for dynamic user modelling. In: UNSPECIFIED, ? - ?.

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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. © 2011 IEEE.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Published proceedings: Proceedings - 2011 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2011
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Science and Health > Computer Science and Electronic Engineering, School of
Depositing User: Users 161 not found.
Date Deposited: 14 Aug 2012 16:03
Last Modified: 17 Aug 2017 18:08
URI: http://repository.essex.ac.uk/id/eprint/3656

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