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SIGKDD
2008
138views more  SIGKDD 2008»
15 years 2 months ago
Learning preferences of new users in recommender systems: an information theoretic approach
Recommender systems are a nice tool to help nd items of interest from an overwhelming number of available items. Collaborative Filtering (CF), the best known technology for recomme...
Al Mamunur Rashid, George Karypis, John Riedl
ICPP
2008
IEEE
15 years 9 months ago
Machine Learning Models to Predict Performance of Computer System Design Alternatives
Computer manufacturers spend a huge amount of time, resources, and money in designing new systems and newer configurations, and their ability to reduce costs, charge competitive p...
Berkin Özisikyilmaz, Gokhan Memik, Alok N. Ch...
MSOM
2007
118views more  MSOM 2007»
15 years 2 months ago
What Can Be Learned from Classical Inventory Models? A Cross-Industry Exploratory Investigation
: Classical inventory models offer a variety of insights into the optimal way to manage inventories of individual products. However, top managers and industry analysts are often co...
Sergey Rumyantsev, Serguei Netessine
ICCV
2003
IEEE
16 years 4 months ago
Towards a Mathematical Theory of Primal Sketch and Sketchability
In this paper, we present a mathematical theory for Marr's primal sketch. We first conduct a theoretical study of the descriptive Markov random field model and the generative...
Cheng-en Guo, Song Chun Zhu, Ying Nian Wu
HICSS
2008
IEEE
180views Biometrics» more  HICSS 2008»
15 years 9 months ago
Systems Theory and Knowledge Management Systems: The Case of Pratt-Whitney Rocketdyne
Abstract. Despite a growing body of research on knowledge management (KM) systems, many managers are still unsure how they can implement a KM system that will effectively contribut...
Mark Chun, Kiho Sohn, Priscilla Arling, Nelson F. ...