We introduce a novel machine learning framework based on recursive autoencoders for sentence-level prediction of sentiment label distributions. Our method learns vector space repr...
Richard Socher, Jeffrey Pennington, Eric H. Huang,...
Abstract. This paper describes a real-time routing system that implements a mobile museum tour guide for providing personalized tours tailored to the user position inside the museu...
Willem Robert van Hage, Natalia Stash, Yiwen Wang,...
In this paper, we propose a probabilistic framework targeting three important issues in the computation of quality and trust in decentralized systems. Specifically, our approach a...
Active participation of a person in a community is a powerful indicator of the person's interests, preferences, beliefs and (often) social and demographic context. Community m...
When considering information security and privacy issues most of the attention has previously focussed on data protection and the privacy of personally identifiable information (PI...