In the field of service computing, reputation of a Web service is usually calculated using feedback ratings provided by service users. However, the existing malicious ratings and different preferences of different service users often lead to a bias towards positive or negative ratings. In this paper, we propose a novel reputation computation approach for accurately measuring the reputation of W...

Our research consortium develops user modeling methods for proactive applications. In this project we use machine learning methods for predicting users’ preferences from implicit relevance feedback. Our prototype application is information retrieval, where the feedback signal is measured from eye movements or user’s behavior. Relevance of a read text is extracted from the feedback signal with m...

McKinsey–Tarski (1944), Shehtman (1999), and Lucero-Bryan (2011) proved completeness theorems for modal logics with modalities 2, 2 and ∀, and [∂] and ∀, respectively, with topological semantics over the real numbers. We give short proofs of these results using lexicographic sums of linear orders.

The paper investigates the public’s attitude towards monetary union arrangements associated with different levels of monetary policy autonomy. The results indicate that support for monetary union declines significantly with expected loss of autonomy. Survey data from Kenya shows that public support for the proposed East African Community monetary union is highest in an arrangement where the cou...

the research was aimed at finding out the effects of the implementation of writing feedback techniques and students’ writing anxiety on students’ writing ablity. experimental method of 3x2 factorial design was employed in the research. there were three experimental groups of students who were taught by using teacher feedback, peer feedback and the combination of peer and teacher feedback writin...

Intelligent software assistants are becoming more common in the e-commerce domain. We are working on a personal travel assistant. The goal of this application is to use case based reasoning to assist the user in arranging flights. It offers personalised service to its users and automatically learns their travel preferences. It stores these preferences in a user model that is directly related to...