In this paper we present a method for reformulating the Recommender Systems problem in an Information Retrieval one. In our tests we have a dataset of users who give ratings for s...
Abstract. This paper presents a statistical framework based on Principal Component Analysis (PCA) for discovering the contextual factors which most strongly influence user behavio...
Automatic annotation is an elegant alternative to explicit recognition in images. In annotation, the image is matched with keyword models, and the most relevant keywords are assig...
This paper proposes an Agent Traveler Information Server for a daily trip in an urban area. It is based on the multi-agent paradigm and is using the Environment as Active Support o...
During visual analysis, users must often connect insights discovered at various points of time to understand implicit relations within their analysis. This process is often called...