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AAAI
2004
15 years 1 months ago
Exploring More Realistic Evaluation Measures for Collaborative Filtering
Collaborative filtering is a popular technique for recommending items to people. Several methods for collaborative filtering have been proposed in the literature and the quality o...
Giuseppe Carenini, Rita Sharma
118
Voted
KDD
2008
ACM
209views Data Mining» more  KDD 2008»
16 years 8 days ago
Combinational collaborative filtering for personalized community recommendation
Rapid growth in the amount of data available on social networking sites has made information retrieval increasingly challenging for users. In this paper, we propose a collaborativ...
WenYen Chen, Dong Zhang, Edward Y. Chang
GLOBECOM
2007
IEEE
15 years 6 months ago
A Scalable Bloom Filter for Membership Queries
—Bloom filters allow membership queries over sets with allowable errors. It is widely used in databases, networks and distributed systems and it has great potential for distribut...
Kun Xie, Yinghua Min, Dafang Zhang, Jigang Wen, Ga...
GCC
2007
Springer
15 years 6 months ago
Image Filtering on .NET-based Desktop Grids
Image filtering is the use of computer graphics algorithms to enhance the quality of digital images or to extract information about their content. However rendering very large siz...
Christian Vecchiola, Krishna Nadiminti, Rajkumar B...
ICDM
2010
IEEE
109views Data Mining» more  ICDM 2010»
14 years 9 months ago
Term Filtering with Bounded Error
Abstract--In this paper, we consider a novel problem referred to as term filtering with bounded error to reduce the term (feature) space by eliminating terms without (or with bound...
Zi Yang, Wei Li, Jie Tang, Juanzi Li