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» Predicting user interests from contextual information
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CONEXT
2009
ACM
14 years 11 months ago
StarClique: guaranteeing user privacy in social networks against intersection attacks
Building on the popularity of online social networks (OSNs) such as Facebook, social content-sharing applications allow users to form communities around shared interests. Millions...
Krishna P. N. Puttaswamy, Alessandra Sala, Ben Y. ...
AAAI
2010
14 years 11 months ago
Collaborative Filtering Meets Mobile Recommendation: A User-Centered Approach
With the increasing popularity of location tracking services such as GPS, more and more mobile data are being accumulated. Based on such data, a potentially useful service is to m...
Vincent Wenchen Zheng, Bin Cao, Yu Zheng, Xing Xie...
SIGCOMM
2009
ACM
15 years 4 months ago
On the evolution of user interaction in Facebook
Online social networks have become extremely popular; numerous sites allow users to interact and share content using social links. Users of these networks often establish hundreds...
Bimal Viswanath, Alan Mislove, Meeyoung Cha, P. Kr...
NAR
2007
115views more  NAR 2007»
14 years 9 months ago
PReMod: a database of genome-wide mammalian cis-regulatory module predictions
We describe PReMod, a new database of genomewide cis-regulatory module (CRM) predictions for both the human and the mouse genomes. The prediction algorithm, described previously i...
Vincent Ferretti, Christian Poitras, Dominique Ber...
NPL
2006
85views more  NPL 2006»
14 years 10 months ago
A Neural Model for Context-dependent Sequence Learning
A novel neural network model is described that implements context-dependent learning of complex sequences. The model utilises leaky integrate-and-fire neurons to extract timing inf...
Luc Berthouze, Adriaan G. Tijsseling