Context-Aware Personalised Service Delivery Page 1 Context-Aware Personalised Service
Delivery E Pignotti and P Edwards and GA Grimnes 1 Abstract. In this paper we explore the …

Ranking-based recommender systems are designed to generate a personalised ranking list
of items for a given user to address the information overload problem. An effective and …

Personalized TV models based on user modeling are the development direction of today's
TV system. Recommendation Systems for TV programs are the key to implementing …

In the current big data era, recommendation systems play an important role in our daily life to
help us make faster and better decisions from massive numbers of choices. Personalized …

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In this paper we describe some results of the Alice project. Alice is an ontology-based e-
commerce project which aims to support online users in the task of shopping. Ontologies …

By exploiting the concept of fuzzy similarity measures, this paper presents a hybrid
recommendation framework that builds on the strengths of knowledge-based and …

With the development and diffusion of compact and portable mobile devices, users can use
multimedia content such as music and movie on personal mobile devices, anytime and …

How can recommendation accuracy be improved in a personalized news recommender
system? In this paper, we utilize new attributes in addition to standard recency and …

In the contemporary era of big data, recommendation systems play a crucial role in guiding
our daily decision-making amidst an overwhelming array of choices. Personalized …