Hawalah, Ahmad and Fasli, Maria (2014) Utilizing contextual ontological user profiles for personalized recommendations. Expert Systems with Applications, 41 (10). pp. 4777-4797. DOI https://doi.org/10.1016/j.eswa.2014.01.039
Hawalah, Ahmad and Fasli, Maria (2014) Utilizing contextual ontological user profiles for personalized recommendations. Expert Systems with Applications, 41 (10). pp. 4777-4797. DOI https://doi.org/10.1016/j.eswa.2014.01.039
Hawalah, Ahmad and Fasli, Maria (2014) Utilizing contextual ontological user profiles for personalized recommendations. Expert Systems with Applications, 41 (10). pp. 4777-4797. DOI https://doi.org/10.1016/j.eswa.2014.01.039
Abstract
As users may have different needs in different situations and contexts, it is increasingly important to consider user context data when filtering information. In the field of web personalization and recommender systems, most of the studies have focused on the process of modelling user profiles and the personalization process in order to provide personalized services to the user, but not on contextualized services. Rather limited attention has been paid to investigate how to discover, model, exploit and integrate context information in personalization systems in a generic way. In this paper, we aim at providing a novel model to build, exploit and integrate context information with a web personalization system. A context-aware personalization system (CAPS) is developed which is able to model and build contextual and personalized ontological user profiles based on the user’s interests and context information. These profiles are then exploited in order to infer and provide contextual recommendations to users. The methods and system developed are evaluated through a user study which shows that considering context information in web personalization systems can provide more effective personalization services and offer better recommendations to users.
Item Type: | Article |
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Uncontrolled Keywords: | User profiles; Context-aware systems; Web personalization; Recommender systems |
Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
Divisions: | Faculty of Science and Health Faculty of Science and Health > Computer Science and Electronic Engineering, School of |
SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
Depositing User: | Unnamed user with email elements@essex.ac.uk |
Date Deposited: | 02 Dec 2014 16:46 |
Last Modified: | 30 Oct 2024 19:53 |
URI: | http://repository.essex.ac.uk/id/eprint/11954 |