We address the learning of trust based on past observations and context information. We argue that from the truster's point of view trust is best expressed as one of several ...
We present a theoretical analysis of supervised ranking, providing necessary and sufficient conditions for the asymptotic consistency of algorithms based on minimizing a surrogate...
The size of personal music collections has constantly increased over the past years. As a result, the traditional metadata based lists to browse these collections have reached the...
Michael Kuhn 0002, Roger Wattenhofer, Samuel Welte...
The increasing proliferation of online shopping and purchasing has naturally led to a growth in the popularity of comparisonshopping search engines, popularly known as "shopb...
Robert S. Garfinkel, Ram D. Gopal, Arvind K. Tripa...
The task of clustering is to identify classes of similar objects among a set of objects. The definition of similarity varies from one clustering model to another. However, in most ...