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BCSHCI
2007
15 years 6 months ago
"The devil you know knows best": how online recommendations can benefit from social networking
The defining characteristic of the Internet today is an abundance of information and choice. Recommender Systems (RS), designed to alleviate this problem, have so far not been ver...
Philip Bonhard, Martina Angela Sasse, Clare Harrie...
CSE
2009
IEEE
15 years 11 months ago
All Friends Are Not Created Equal: An Interaction Intensity Based Approach to Privacy in Online Social Networks
Recent research identifies a growing privacy problem that exists within Online Social Networks (OSNs). Several studies have shown how easily strangers can extract personal data a...
Lerone Banks, Shyhtsun Felix Wu
CIKM
2008
Springer
15 years 6 months ago
Topological analysis of an online social network for older adults
Social network systems on the Internet, such MySpace and LinkedIn, are growing in popularity around the world. The level of such activity is now comparable to that associated with...
Marcella Wilson, Charles K. Nicholas
WWW
2011
ACM
14 years 11 months ago
Estimating sizes of social networks via biased sampling
Online social networks have become very popular in recent years and their number of users is already measured in many hundreds of millions. For various commercial and sociological...
Liran Katzir, Edo Liberty, Oren Somekh
SIGIR
2009
ACM
15 years 11 months ago
On social networks and collaborative recommendation
Social network systems, like last.fm, play a significant role in Web 2.0, containing large amounts of multimedia-enriched data that are enhanced both by explicit user-provided an...
Ioannis Konstas, Vassilios Stathopoulos, Joemon M....