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» Modeling the Propagation of User Preferences
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PERVASIVE
2011
Springer
14 years 7 months ago
Using Decision-Theoretic Experience Sampling to Build Personalized Mobile Phone Interruption Models
We contribute a method for approximating users’ interruptibility costs to use for experience sampling and validate the method in an application that learns when to automatically ...
Stephanie Rosenthal, Anind K. Dey, Manuela M. Velo...
WPES
2005
ACM
15 years 10 months ago
Maintaining privacy on derived objects
Protecting privacy means to ensure users that access to their personal data complies with their preferences. However, information can be manipulated in order to derive new objects...
Nicola Zannone, Sushil Jajodia, Fabio Massacci, Du...
UAI
2003
15 years 5 months ago
Collaborative Ensemble Learning: Combining Collaborative and Content-Based Information Filtering via Hierarchical Bayes
Collaborative filtering (CF) and contentbased filtering (CBF) have widely been used in information filtering applications, both approaches having their individual strengths and...
Kai Yu, Anton Schwaighofer, Volker Tresp, Wei-Ying...
KDD
2009
ACM
230views Data Mining» more  KDD 2009»
16 years 5 months ago
Analyzing patterns of user content generation in online social networks
Various online social networks (OSNs) have been developed rapidly on the Internet. Researchers have analyzed different properties of such OSNs, mainly focusing on the formation an...
Lei Guo, Enhua Tan, Songqing Chen, Xiaodong Zhang,...
WWW
2007
ACM
16 years 5 months ago
Demographic prediction based on user's browsing behavior
Demographic information plays an important role in personalized web applications. However, it is usually not easy to obtain this kind of personal data such as age and gender. In t...
Jian Hu, Hua-Jun Zeng, Hua Li, Cheng Niu, Zheng Ch...