We study recommendations in applications where there are temporal patterns in the way items are consumed or watched. For example, a student who has taken the Advanced Algorithms c...
Aditya G. Parameswaran, Georgia Koutrika, Benjamin...
We present rush as a recommendation-based interaction and visualization technique for repeated item selection from large data sets on mobile touch screen devices. Proposals and ch...
Rapid growth in the amount of data available on social networking sites has made information retrieval increasingly challenging for users. In this paper, we propose a collaborativ...
Recommender systems provide users with personalized suggestions for products or services. These systems often rely on Collaborating Filtering (CF), where past transactions are ana...
User-contributed tags have shown promise as a means of indexing multimedia collections by harnessing the combined efforts and enthusiasm of online communities. But tags are only o...