In this paper, we present a Web recommender system for recommending, predicting and personalizing music playlists based on a user model. We have developed a hybrid similarity match...
We argue that when objects are characterized by many attributes, clustering them on the basis of a random subset of these attributes can capture information on the unobserved attr...
Online communities that allow their users to express their personal preferences, such as the members they trust and the products they appreciate, are becoming increasingly popular...
I show how a conversational process that takes simple, intuitively meaningful steps may be understood as a sophisticated computation that derives the richly detailed, complex repr...
Distributed interactive systems often rely on platform information, used for example when migrating a user interface to a small-screen device, or when opportunistically recruiting...