We propose a model for user purchase behavior in online stores that provide recommendation services. We model the purchase probability given recommendations for each user based on...
Previous work on spatio-temporal analysis of news items and other documents has largely focused on broad categorization of small text collections by region or country. A system fo...
Most current image retrieval systems and commercial search engines use mainly text annotations to index and retrieve WWW images. This research explores the use of machine learning...
We study the performance of three dynamic programming methods on music retrieval. The methods are designed for time series matching but can be directly applied to retrieval of mus...
Jefrey Lijffijt, Panagiotis Papapetrou, Jaakko Hol...
Workflows are becoming an increasingly more common paradigm to manage scientific analyses. As workflow repositories start to emerge, workflow retrieval and discovery becomes a cha...