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Using User Personalized Ontological Profile to Infer Semantic Knowledge for Personalized Recommendation

Hawalah, Ahmad and Fasli, Maria (2011) Using User Personalized Ontological Profile to Infer Semantic Knowledge for Personalized Recommendation. In: UNSPECIFIED, ? - ?.

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Abstract

A key feature in developing an effective web personalization system is to build and model a dynamic user profiles. In this paper, we propose a novel method to construct user personalized ontological profiles based on each user's interests and view. We also propose an Enhanced Spreading Activation Technique (ESAT) to infer and recommend new items to a user based on each user's personalized ontological profile. Using the MovieLens dataset, we show that our approach achieves the highest prediction accuracy, and outperforms other recommendation approaches that were proposed in the literature. © 2011 Springer-Verlag.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Additional Information: Published proceedings: Lecture Notes in Business Information Processing
Uncontrolled Keywords: recommender system; ontological user profile; user modeling; spreading activation
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: Elements
Depositing User: Elements
Date Deposited: 14 Aug 2012 15:59
Last Modified: 15 Jan 2022 00:25
URI: http://repository.essex.ac.uk/id/eprint/3657

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