Collaborative filtering (CF) allows the preferences of multiple users to be pooled to make recommendations regarding unseen products. We consider in this paper the problem of onl...
Craig Boutilier, Richard S. Zemel, Benjamin M. Mar...
People travel in the real world and leave their location history in a form of trajectories. These trajectories do not only connect locations in the physical world but also bridge ...
Entities on social systems, such as users on Twitter, and images on Flickr, are at the core of many interesting applications: they can be ranked in search results, recommended to ...
The great success of Web 2.0 is mainly fuelled by an infrastructure that allows web users to create, share, tag, and connect content and knowledge easily. The tools for developing...
In this paper we present a recommender system design for recipe based on-line food shopping. Our system differs in two major ways from existing system. First we use an editor that...
Martin Svensson, Jarmo Laaksolahti, Kristina H&oum...