We examine the problems with automated recommendation systems when information about user preferences is limited. We equate the problem to one of content similarity measurement an...
Windows NT was not designed as a real-time operating system, but market forces and the acceptance of NT in industrial applications have generated a need for achieving real-time fu...
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, ...
The information explosion in today’s electronic world has created the need for information filtering techniques that help users filter out extraneous content to identify the righ...
Kannan Chandrasekaran, Susan Gauch, Praveen Lakkar...