The concept of relevance has been heatedly debated in last decade. Not satisfied with the narrow and technical definition of system relevance, researchers turn to the subjective a...
This article explores how to develop complex data driven user models that go beyond the bag of words model and topical relevance. We propose to learn from rich user specific info...
We present a probabilistic topic model for jointly identifying properties and attributes of social media review snippets. Our model simultaneously learns a set of properties of a ...
There is a widespread intuitive sense that different kinds of information spread differently on-line, but it has been difficult to evaluate this question quantitatively since it ...
Daniel M. Romero, Brendan Meeder, Jon M. Kleinberg
Finding out about a topic online can be time consuming. It involves visiting multiple news sites, encyclopedia entries, video repositories and other resources while discarding irr...
Francisco Iacobelli, Kristian J. Hammond, Larry Bi...