This paper describes a real-time music-arranging system that reacts to immediate affective cues from a listener. Data was collected on the potential of certain musical dimensions ...
Many web pages display personal information provided by users. The goal of this work is to protect that content from untrusted scripts that are embedded in host pages. We present a...
Learning patterns of human behavior from sensor data is extremely important for high-level activity inference. We show how to extract a person’s activities and significant plac...
Reliability is a well-known concern in the field of personalization technologies. We propose the extension of an ontology-based retrieval system with semantic-based personalization...
Abstract. In this paper, we describe the design and development of personal information assistant (PIA), a system aiming to meet individual needs of the searchers. The system'...