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» The Predictability of Data Values
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WECWIS
2005
IEEE
137views ECommerce» more  WECWIS 2005»
14 years 3 months ago
Using Singular Value Decomposition Approximation for Collaborative Filtering
Singular Value Decomposition (SVD), together with the Expectation-Maximization (EM) procedure, can be used to find a low-dimension model that maximizes the loglikelihood of obser...
Sheng Zhang, Weihong Wang, James Ford, Fillia Make...
IWQOS
2001
Springer
14 years 2 months ago
Why Value Is Everything: A User-Centered Approach to Internet Quality of Service and Pricing
To create acceptable levels of Quality of Service (QoS), designers need to be able to predict users’ behaviour in response to different levels of QoS. However, predicting behavio...
Anna Bouch, Martina Angela Sasse
CSCW
2012
ACM
12 years 5 months ago
Recommending routes in the context of bicycling: algorithms, evaluation, and the value of personalization
Users have come to rely on automated route finding services for driving, public transit, walking, and bicycling. Current state of the art route finding algorithms typically rely...
Reid Priedhorsky, David Pitchford, Shilad Sen, Lor...
EDCC
1999
Springer
14 years 2 months ago
Considering Workload Input Variations in Error Coverage Estimation
The effects of variations in the workload input when estimating error detection coverage using fault injection are investigated. Results from scanchain implemented fault injection ...
Peter Folkesson, Johan Karlsson
ICDIM
2007
IEEE
13 years 10 months ago
Assessing the value of unrated items in collaborative filtering
In collaborative filtering systems, a common technique is default voting. Unknown ratings are filled with a default value to alleviate the sparsity of rating databases. We show ...
Jérôme Kunegis, Andreas Lommatzsch, M...