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AAAI
2011
12 years 7 months ago
User-Controllable Learning of Location Privacy Policies With Gaussian Mixture Models
With smart-phones becoming increasingly commonplace, there has been a subsequent surge in applications that continuously track the location of users. However, serious privacy conc...
Justin Cranshaw, Jonathan Mugan, Norman M. Sadeh
SIGMOD
2012
ACM
250views Database» more  SIGMOD 2012»
11 years 10 months ago
Authenticating location-based services without compromising location privacy
The popularity of mobile social networking services (mSNSs) is propelling more and more businesses, especially those in retailing and marketing, into mobile and location-based for...
Haibo Hu, Jianliang Xu, Qian Chen, Ziwei Yang
KDD
2012
ACM
205views Data Mining» more  KDD 2012»
11 years 10 months ago
From user comments to on-line conversations
We present an analysis of user conversations in on-line social media and their evolution over time. We propose a dynamic model that predicts the growth dynamics and structural pro...
Chunyan Wang, Mao Ye, Bernardo A. Huberman
CHI
2009
ACM
14 years 8 months ago
Predicting tie strength with social media
Social media treats all users the same: trusted friend or total stranger, with little or nothing in between. In reality, relationships fall everywhere along this spectrum, a topic...
Eric Gilbert, Karrie Karahalios
BCSHCI
2008
13 years 9 months ago
Representing location in location-based social awareness systems
We analyze the results of a survey distributed to heavy users of social networking website on current mobile communications practices regarding location disclosure. We discovered ...
Michael Voong, Russell Beale