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» Probabilistic modeling of data cache behavior
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SIGIR
2003
ACM
15 years 8 months ago
Collaborative filtering via gaussian probabilistic latent semantic analysis
Collaborative filtering aims at learning predictive models of user preferences, interests or behavior from community data, i.e. a database of available user preferences. In this ...
Thomas Hofmann
CORR
2009
Springer
242views Education» more  CORR 2009»
15 years 25 days ago
Adaptive Scheduling of Data Paths using Uppaal Tiga
Abstract. We apply Uppaal Tiga to automatically compute adaptive scheduling strategies for an industrial case study dealing with a state-of-the-art image processing pipeline of a p...
Israa AlAttili, Fred Houben, Georgeta Igna, Steffe...
IIR
2010
15 years 4 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
KDD
2002
ACM
110views Data Mining» more  KDD 2002»
16 years 3 months ago
A model for discovering customer value for E-content
There exists a huge demand for multimedia goods and services in the Internet. Currently available bandwidth speeds can support sale of downloadable content like CDs, e-books, etc....
Srinivasan Jagannathan, Jayanth Nayak, Kevin C. Al...
HIPEAC
2010
Springer
16 years 3 days ago
Combining Locality Analysis with Online Proactive Job Co-scheduling in Chip Multiprocessors
Abstract. The shared-cache contention on Chip Multiprocessors causes performance degradation to applications and hurts system fairness. Many previously proposed solutions schedule ...
Yunlian Jiang, Kai Tian, Xipeng Shen