A particularly challenging task for recommender systems (RSs) is deciding whether to recommend an item that received a variety of high and low scores from its users. RSs that inco...
Patricia Victor, Chris Cornelis, Martine De Cock, ...
With the growing amount of information being digitized, users find it difficult to obtain the most relevant information that is hidden in the deluge of information returned to the...
—At ICSE 2010, the Code Bubbles team from Brown University and the Code Canvas team from Microsoft Research presented similar ideas for new user experiences for an integrated dev...
Robert DeLine, Andrew Bragdon, Kael Rowan, Jens Ja...
We propose a new “content-free” image retrieval method which attempts to exploit certain common tendencies that exist among people’s interpretation of images from user feedb...
In this paper, we discuss children's and teachers' experiences in a small rural town in Uruguay where every child in elementary school has received a laptop from the OLP...
Juan Pablo Hourcade, Daiana Beitler, Fernando Corm...