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MICRO
2007
IEEE
79views Hardware» more  MICRO 2007»
16 years 26 days ago
Time Interpolation: So Many Metrics, So Few Registers
The performance of computer systems varies over the course of their execution. A system may perform well during some parts of its execution and poorly during others. To understand...
Todd Mytkowicz, Peter F. Sweeney, Matthias Hauswir...
CCS
2008
ACM
15 years 8 months ago
User-controllable learning of security and privacy policies
Studies have shown that users have great difficulty specifying their security and privacy policies in a variety of application domains. While machine learning techniques have succ...
Patrick Gage Kelley, Paul Hankes Drielsma, Norman ...
CAISE
2006
Springer
15 years 10 months ago
Controlling the Level of Business Process Instance Flexibility via Rules of Planning
When an organization decides on the level of flexibility in handling business process instances, it needs to impose this level in operational practice. The way of imposing a given ...
Ilia Bider, Alexey Striy
IIR
2010
15 years 8 months ago
An Empirical Comparison of Collaborative Filtering Approaches on Netflix Data
Recommender systems are widely used in E-Commerce for making automatic suggestions of new items that could meet the interest of a given user. Collaborative Filtering approaches co...
Nicola Barbieri, Massimo Guarascio, Ettore Ritacco
CSREAEEE
2006
174views Business» more  CSREAEEE 2006»
15 years 8 months ago
Using Temporal Information in Collaborative Filtering: An Empirical Study
- Collaborative filtering is a widely used and proven method of building recommender systems that provide personalized recommendations on products or services based on explicit rat...
Young Park, Tong-Queue Lee