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SIGIR
2005
ACM
14 years 1 months ago
Scalable collaborative filtering using cluster-based smoothing
Memory-based approaches for collaborative filtering identify the similarity between two users by comparing their ratings on a set of items. In the past, the memory-based approache...
Gui-Rong Xue, Chenxi Lin, Qiang Yang, Wensi Xi, Hu...
CORR
2011
Springer
170views Education» more  CORR 2011»
12 years 11 months ago
A Family of Adaptive Filter Algorithms in Noise Cancellation for Speech Enhancement
— In many application of noise cancellation, the changes in signal characteristics could be quite fast. This requires the utilization of adaptive algorithms, which converge rapid...
Sayed A. Hadei, Mojtaba Lotfizad
ADMA
2008
Springer
122views Data Mining» more  ADMA 2008»
14 years 2 months ago
Open Domain Recommendation: Social Networks and Collaborative Filtering
Commercial enterprises employ data mining techniques to recommend products to their customers. Most of the prior research is usually focused on a specific domain such as movies or...
Sarah K. Tyler, Yi Zhang
ICMCS
2005
IEEE
132views Multimedia» more  ICMCS 2005»
14 years 1 months ago
Non-linear image enhancement for digital TV applications using Gabor filters
We propose a non-linear image enhancement method based on Gabor filters, which allows selective enhancement based on the contrast sensitivity function of the human visual system. ...
Yue Yang, Baoxin Li
CSCW
2000
ACM
14 years 6 days ago
Explaining collaborative filtering recommendations
Automated collaborative filtering (ACF) systems predict a person’s affinity for items or information by connecting that person’s recorded interests with the recorded interests...
Jonathan L. Herlocker, Joseph A. Konstan, John Rie...