This article explores how to develop complex data driven user models that go beyond the bag of words model and topical relevance. We propose to learn from rich user specific information and to satisfy complex user criteria under the graphical modelling framework. We carried out a user study with a web based personal news filtering system, and collected extensive user information, including expl...

This paper discusses an approach to hypermedia modelling using the Unified Modelling Language (UML). We describe hypermedia models based on four established views of hypermedia system: application domain model, navigation model, presentation model and user model. The approach emphasises UML state diagrams as capable technique for navigation modelling. We relate our approach to other types of mo...

Emerging MOOC platforms capture huge amounts of learner data. This paper presents our MOOClm platform, for transforming data from MOOCs into independent learner models that can drive personalisation and support reuse of the learner model, for example in an Open Learner Model (OLM). We describe the MOOClm architecture and demonstrate how we have used it to build OLMs.

This paper describes a study investigating the potential for two user modelling systems: a location-aware user modelling system providing easy access to applications, files and course materials commonly used by an individual student in different locations; and a mobile open learner model for consultation by a student away from the intelligent tutoring system in which the learner model was gener...

The Unified Modeling Language (UML) is a natural candidate for user interface (UI) modelling since it is the standard notation for object oriented modelling of applications. However, it is by no means clear how to model UIs using UML. This paper presents a user interface modelling case study using UML. This case study identifies some aspects of UIs that cannot be modelled using UML notation, an...

In this paper we discuss the adaptive User Model component of the AthosMail system, and describe especially the Cooperativity Model which produces recommendations for the appropriate explicitness of the system utterances, depending on the user’s observed competence levels. The Cooperativity Model deals with the system’s dialogue control and explicitness of the given information: these two aspec...

In this paper, we present a brief survey of different user modelling techniques used in human computer interaction. We have investigated about the origin of user modelling and then classified the existing models into different categories. We have discussed a few examples of user models in each category, pointed out their advantages and disadvantages and finally concluded by presenting a few ope...

Since it was first proposed by Rich in 1979, stereotype-based user modelling has been applied numerous times in recommender systems. The primary motivation for stereotyping in user modelling is the new user problem — a purely individualised user model cannot be constructed for a user until he has provided some ratings of items. By appealing to a pool of manually-constructed stereotypes, each on...

Within the broad field of spoken dialogue systems, the application of machine-learning approaches to dialogue management strategy design is a rapidly growing research area. The main motivation is the hope of building systems that learn through trial-and-error interaction what constitutes a good dialogue strategy. Training of such systems could in theory be done using human users or using corpor...