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...
: Developing personalized applications for the ubiquitous Web assumes to create content that can be automatically adapted to both different presentation platforms and user preferen...
We formulate and study search algorithms that consider a user’s prior interactions with a wide variety of content to personalize that user’s current Web search. Rather than re...
Nowadays Internet is anywhere and users can find all possible information. In this situation, the new challenge is to provide the right information at the right time. As Web servic...
Daniela Barreiro Claro, Oriana Licchelli, Patrick ...
One hundred users, one hundred needs. As more and more topics are being discussed on the web and our vocabulary remains relatively stable, it is increasingly difficult to let the ...