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A content-based personalized recommendation system learns user specific profiles from user feedback so that it can deliver information tailored to each individual user's interest. A system serving millions of users can learn a better user profile for a new user, or a user with little feedback, by borrowing information from other users through the use of a(More)
As users interact with file systems of ever increasing size, it is becoming more difficult for them to familiarize themselves with the entire contents of the file system. In petabyte-scale systems, users must navigate a pool of billions of shared files in order to find the information they are looking for. One way to help alleviate this problem is to(More)
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