Item selection is a key problem in electronic guidebook design. Many systems do not apply so-called “context-awareness” technologies to infer user interest, placing the entire...
— The study of skylines and their variants has received considerable attention in recent years. Skylines are essentially sets of most interesting (undominated) tuples in a databa...
Atish Das Sarma, Ashwin Lall, Danupon Nanongkai, R...
Collaborative filtering is a very useful general technique for exploiting the preference patterns of a group of users to predict the utility of items to a particular user. Previou...
In the absence of explicit queries, an alternative is to try to infer users' interests from implicit feedback signals, such as clickstreams or eye tracking. The interests, fo...
We propose structured models for image labeling that take into account the dependencies among the image labels explicitly. These models are more expressive than independent label ...