We present a new approach for personalizing Web search results to a specific user. Ranking functions for Web search engines are typically trained by machine learning algorithms u...
David Sontag, Kevyn Collins-Thompson, Paul N. Benn...
We propose a class of actor-oriented statistical models for closed social networks in general, and friendship networks in particular. The models are random utility models develope...
Gerhard G. Van De Bunt, Marijtje A. J. Van Duijn, ...
In our research work, we consider that access to semi-structured documents is carried out by a data-oriented query. With different users and a same query, the returned results are ...
Personalization is a ubiquitous phenomenon in our daily online experience. While such technology is critical for helping us combat the overload of information we face, in many cas...
We consider the problem of identifying the consensus ranking for the results of a query, given preferences among those results from a set of individual users. Once consensus ranki...
Paul N. Bennett, David Maxwell Chickering, Anton M...