Statistical measures of word similarity have application in many areas of natural language processing, such as language modeling and information retrieval. We report a comparative...
We propose novel spatio-temporal models to estimate clickthrough rates in the context of content recommendation. We track article CTR at a fixed location over time through a dynam...
We propose the concept of research trails to help web users create and reestablish context across fragmented research processes without requiring them to explicitly structure and ...
We have developed an environment, based upon robust, existing, open source software, for tuning applications written using MPI, OpenMP or both. The goal of this effort, which inte...
Systems based on statistical and machine learning methods have been shown to be extremely effective and scalable for the analysis of large amount of textual data. However, in the r...