In this paper, we aim to analyse the current level of usability on ten popular online websites utilising some kind of reputation system. The conducted heuristic and expert evaluat...
Bart P. Knijnenburg, Lars Schmidt-Thieme, Dirk G. ...
Mobility traces of people and vehicles have been collected and published to assist the design and evaluation of mobile networks, such as large-scale urban sensing networks. Althou...
Chris Y. T. Ma, David K. Y. Yau, Nung Kwan Yip, Na...
Abstract. Human users trying to plan and accomplish informationdependent goals in highly dynamic environments with prevalent uncertainty must consult various types of information s...
Abstract. Machine learning techniques are increasingly being applied to problems in the domain of information retrieval and text mining. In this paper we present an application of ...
This paper presents a visual information seeking system for the WWW called INSYDER1 . The aim of INSYDER is to find business information from the WWW. Information seeking - especi...
Abstract: The concept of information is still lacking a complete understanding, as witnessed by the large number of different meanings that overload the terms "data", &qu...
Today, bibliographical information is kept in a variety of data sources world wide, some of them publically available, and some of them also offering information about citations m...
The acquisition of information is generally thought to be deliberately sought using a search or query mechanism or by browsing or scanning an information space. People, however, f...
In order for agents and humans to leverage the growing wealth of heterogeneous information and services on the web, increasingly, they need to understand the information that is d...
In this paper we propose a methodology to learn to extract domain-specific information from large repositories (e.g. the Web) with minimum user intervention. Learning is seeded b...
Fabio Ciravegna, Alexiei Dingli, David Guthrie, Yo...