Web-based education for all: a tool for development adaptive courseware
WWW7 Proceedings of the seventh international conference on World Wide Web 7
Markov Decision Processes: Discrete Stochastic Dynamic Programming
Markov Decision Processes: Discrete Stochastic Dynamic Programming
Semantic Models for Multimedia Database Searching and Browsing
Semantic Models for Multimedia Database Searching and Browsing
Hybrid Recommender Systems: Survey and Experiments
User Modeling and User-Adapted Interaction
A Knowledge-Based Approach for Retrieving Images by Content
IEEE Transactions on Knowledge and Data Engineering
A Survey on Content-Based Retrieval for Multimedia Databases
IEEE Transactions on Knowledge and Data Engineering
Proceedings of the 2nd international conference on Knowledge capture
Selective Markov models for predicting Web page accesses
ACM Transactions on Internet Technology (TOIT)
Towards an Adaptive Web Information System Based on Web Services
ICAS '08 Proceedings of the Fourth International Conference on Autonomic and Autonomous Systems
Data mining for web personalization
The adaptive web
Personalization for the semantic web
Proceedings of the First international conference on Reasoning Web
Techniques for discovering correspondences between ontologies
International Journal of Web and Grid Services
A standard ontology for smart spaces
International Journal of Web and Grid Services
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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.