The ability to aggregate huge volumes of queries over a large population of users allows search engines to build precise models for a variety of query-assistance features such as ...
The multimedia information retrieval community has dedicated extensive research effort to the problem of content-based image retrieval (CBIR). However, these systems find their ma...
Tom Yeh, Brandyn White, Jose San Pedro, Boris Katz...
BACKGROUND: Defect predictors learned from static code measures can isolate code modules with a higher than usual probability of defects. AIMS: To improve those learners by focusi...
In this paper we present a method for reformulating the Recommender Systems problem in an Information Retrieval one. In our tests we have a dataset of users who give ratings for s...
Today’s chip-level multiprocessors (CMPs) feature up to a hundred discrete cores, and with increasing levels of integration, CMPs with hundreds of cores, cache tiles, and specia...
Boris Grot, Joel Hestness, Stephen W. Keckler, Onu...