Research Repository

Using user personalized ontological profile to infer semantic knowledge for personalized recommendation

Hawalah, A and Fasli, M (2011) Using user personalized ontological profile to infer semantic knowledge for personalized recommendation. In: UNSPECIFIED, ? - ?.

Full text not available from this repository.

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
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 15:59
Last Modified: 17 Aug 2017 18:08
URI: http://repository.essex.ac.uk/id/eprint/3657

Actions (login required)

View Item View Item