A common task of recommender systems is to improve customer experience through personalized recommendations based on prior implicit feedback. These systems passively track differe...
Collaborative filtering has proven to be valuable for recommending items in many different domains. In this paper, we explore the use of collaborative filtering to recommend resea...
Sean M. McNee, Istvan Albert, Dan Cosley, Prateep ...
—In this paper, we present a novel approach for improving the performance of a large class of CPU and memory intensive passive network monitoring applications, such as intrusion ...
We propose a recommendation technique that works by collecting text descriptions of items and using this textual aura to compute the similarity between items using techniques draw...
Stephen J. Green, Paul Lamere, Jeffrey Alexander, ...
Query recommendation has been recognized as an important mean to help users search and also improve the usability of search engines. Existing approaches mainly focus on helping us...