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» Using Temporal Data for Making Recommendations
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130
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RTSS
2003
IEEE
15 years 7 months ago
Adaptive Coherency Maintenance Techniques for Time-Varying Data
Often, data used in on-line decision making (for example, in determining how to react to changes in process behavior, traffic flow control, etc.) is dynamic in nature and hence ...
Ratul kr. Majumdar, Kannan M. Moudgalya, Krithi Ra...
132
Voted
AAAI
2012
13 years 5 months ago
Transfer Learning in Collaborative Filtering with Uncertain Ratings
To solve the sparsity problem in collaborative filtering, researchers have introduced transfer learning as a viable approach to make use of auxiliary data. Most previous transfer...
Weike Pan, Evan Wei Xiang, Qiang Yang
IVS
2007
120views more  IVS 2007»
15 years 2 months ago
Visual exploration and analysis of historic hotel visits
Understanding the spatial and temporal characteristics of individual and group behavior in social networks is a critical component of visual tools for intelligence analysis, emerg...
Chris Weaver, David Fyfe, Anthony Robinson, Deryck...
103
Voted
WSC
2004
15 years 4 months ago
An Experimental Study on Forecasting Using TES Processes
Forecasting is of prime importance for accuracy in decision making. For data sets containing high autocorrelations, failure to account for temporal dependence will result in poor ...
Abdullah S. Karaman, Tayfur Altiok
179
Voted
JCDL
2011
ACM
301views Education» more  JCDL 2011»
14 years 5 months ago
Archiving the web using page changes patterns: a case study
A pattern is a model or a template used to summarize and describe the behavior (or the trend) of a data having generally some recurrent events. Patterns have received a considerab...
Myriam Ben Saad, Stéphane Gançarski