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» Trusting Data Quality in Cooperative Information Systems
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WKDD
2010
CPS
204views Data Mining» more  WKDD 2010»
15 years 7 months ago
A Scalable, Accurate Hybrid Recommender System
—Recommender systems apply machine learning techniques for filtering unseen information and can predict whether a user would like a given resource. There are three main types of...
Mustansar Ali Ghazanfar, Adam Prügel-Bennett
GVD
2009
162views Database» more  GVD 2009»
14 years 11 months ago
Archiving and Maintaining Curated Databases
Curated databases represent a substantial amount of effort by a dedicated group of people to produce a definitive description of some subject area. The value of curated databases ...
Heiko Müller
SAC
2008
ACM
15 years 1 months ago
Tag-aware recommender systems by fusion of collaborative filtering algorithms
Recommender Systems (RS) aim at predicting items or ratings of items that the user are interested in. Collaborative Filtering (CF) algorithms such as user- and item-based methods ...
Karen H. L. Tso-Sutter, Leandro Balby Marinho, Lar...
136
Voted
CCS
2008
ACM
15 years 3 months ago
Privacy oracle: a system for finding application leaks with black box differential testing
We describe the design and implementation of Privacy Oracle, a system that reports on application leaks of user information via the network traffic that they send. Privacy Oracle ...
Jaeyeon Jung, Anmol Sheth, Ben Greenstein, David W...
VIS
2007
IEEE
86views Visualization» more  VIS 2007»
16 years 2 months ago
Illustrative Deformation for Data Exploration
Abstract--Much of the visualization research has focused on improving the rendering quality and speed, and enhancing the perceptibility of features in the data. Recently, significa...
Carlos Correa, Deborah Silver, Min Chen