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» Predicting Interests of People on Online Social Networks
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HICSS
2008
IEEE
151views Biometrics» more  HICSS 2008»
15 years 4 months ago
Venice, California and World of Warcraft: Persistence and Ephemerality in Playful Spaces
Persistent digital media extend content beyond immediate ephemeral interactions and conversations. Systems such as email, instant messaging, digital kiosks, social networking site...
Silvia Lindtner, Bonnie A. Nardi
BMCBI
2007
207views more  BMCBI 2007»
14 years 9 months ago
Discovering biomarkers from gene expression data for predicting cancer subgroups using neural networks and relational fuzzy clus
Background: The four heterogeneous childhood cancers, neuroblastoma, non-Hodgkin lymphoma, rhabdomyosarcoma, and Ewing sarcoma present a similar histology of small round blue cell...
Nikhil R. Pal, Kripamoy Aguan, Animesh Sharma, Shu...
SOUPS
2009
ACM
15 years 4 months ago
Social applications: exploring a more secure framework
Online social network sites, such as MySpace, Facebook and others have grown rapidly, with hundreds of millions of active users. A new feature on many sites is social applications...
Andrew Besmer, Heather Richter Lipford, Mohamed Sh...
CCR
2010
104views more  CCR 2010»
14 years 7 months ago
I know what you will do next summer
This is a brief journey across the Internet privacy landscape. After trying to convince you about the importance of the problem I will try to present questions of interest and how...
Balachander Krishnamurthy
COMAD
2009
14 years 10 months ago
Trust-Based Infinitesimals for Enhanced Collaborative Filtering
In this paper we propose a novel recommender system which enhances user-based collaborative filtering by using a trust-based social network. Our main idea is to use infinitesimal ...
Maria Chowdhury, Alex Thomo, William W. Wadge