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» Estimating Probabilities in Recommendation Systems
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CIKM
2010
Springer
13 years 7 months ago
Mining topic-level influence in heterogeneous networks
Influence is a complex and subtle force that governs the dynamics of social networks as well as the behaviors of involved users. Understanding influence can benefit various applic...
Lu Liu, Jie Tang, Jiawei Han, Meng Jiang, Shiqiang...
IGARSS
2009
13 years 7 months ago
Spectral Variability within Species and its Effects on Savanna Tree Species Discrimination
Differences in within-species phenology and structure driven by factors including topography, edaphic properties, and climatic variables present important challenges for species d...
Moses Azong Cho, Pravesh Debba, Renaud Mathieu, Bo...
KDD
2012
ACM
179views Data Mining» more  KDD 2012»
11 years 11 months ago
Transparent user models for personalization
Personalization is a ubiquitous phenomenon in our daily online experience. While such technology is critical for helping us combat the overload of information we face, in many cas...
Khalid El-Arini, Ulrich Paquet, Ralf Herbrich, Jur...
ISCA
2010
IEEE
219views Hardware» more  ISCA 2010»
14 years 2 months ago
Using hardware vulnerability factors to enhance AVF analysis
Fault tolerance is now a primary design constraint for all major microprocessors. One step in determining a processor’s compliance to its failure rate target is measuring the Ar...
Vilas Sridharan, David R. Kaeli
PAM
2004
Springer
14 years 2 months ago
Measurements and Laboratory Simulations of the Upper DNS Hierarchy
Given that the global DNS system, especially at the higher root and top-levels, experiences significant query loads, we seek to answer the following questions: (1) How does the ch...
Duane Wessels, Marina Fomenkov, Nevil Brownlee, Ki...