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IADIS
2003
14 years 10 days ago
Dynamic Collaborative Filtering for the World Wide Web
Collaborative Filtering systems suggest items to a user because it is highly rated by some other user with similar tastes. Although these systems are achieving great success on we...
Gulden Uchyigit, Keith L. Clark
RECSYS
2010
ACM
13 years 11 months ago
Collaborative filtering via euclidean embedding
Recommendation systems suggest items based on user preferences. Collaborative filtering is a popular approach in which recommending is based on the rating history of the system. O...
Mohammad Khoshneshin, W. Nick Street
IR
2002
13 years 10 months ago
An Empirical Analysis of Design Choices in Neighborhood-Based Collaborative Filtering Algorithms
Collaborative filtering systems predict a user's interest in new items based on the recommendations of other people with similar interests. Instead of performing content index...
Jonathan L. Herlocker, Joseph A. Konstan, John Rie...
PAMI
2011
13 years 6 months ago
Coded Strobing Photography: Compressive Sensing of High Speed Periodic Videos
—We show that, via temporal modulation, one can observe and capture a high-speed periodic video well beyond the abilities of a low-frame-rate camera. By strobing the exposure wit...
Ashok Veeraraghavan, Dikpal Reddy, Ramesh Raskar
RECOMB
2002
Springer
14 years 11 months ago
DNA sequence evolution with neighbor-dependent mutation
We introduce a model of DNA sequence evolution which can account for biases in mutation rates that depend on the identity of the neighboring bases. An analytic solution for this c...
Peter F. Arndt, Christopher B. Burge, Terence Hwa