An ontology-based approach for providing multimedia personalised recommendations
by Mihaela Brut, Florence Sedes, Romulus Grigoras, Vincent Charvillat
International Journal of Web and Grid Services (IJWGS), Vol. 4, No. 3, 2008

Abstract: This paper provides a service-oriented solution that explores the ontology-based modelling of users and documents in order to provide users with personalised recommendations of resources. Alongside the adoption of semantic web technologies for ontology-based modelling, our approach aims at a better relevance for recommendations by adopting a hybrid recommendation technique, combining a collaborative filtering and a content-based approach. The collaborative filtering module adopts a Markov Decision Process (MDP) in order to predict the next concept which will be focused on by the user, tracking the user navigation through an ontology instead of through the structure of a particular site. The content-based recommender module adopts a k nearest neighbours approach and exploits the similarities between the user and document modelling.

Online publication date: Fri, 28-Nov-2008

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Web and Grid Services (IJWGS):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com