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SIGIR
2009
ACM
14 years 1 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....
KDD
2012
ACM
220views Data Mining» more  KDD 2012»
11 years 9 months ago
ComSoc: adaptive transfer of user behaviors over composite social network
Accurate prediction of user behaviors is important for many social media applications, including social marketing, personalization and recommendation, etc. A major challenge lies ...
ErHeng Zhong, Wei Fan, Junwei Wang, Lei Xiao, Yong...
WWW
2009
ACM
14 years 7 months ago
All your contacts are belong to us: automated identity theft attacks on social networks
Social networking sites have been increasingly gaining popularity. Well-known sites such as Facebook have been reporting growth rates as high as 3% per week [5]. Many social netwo...
Leyla Bilge, Thorsten Strufe, Davide Balzarotti, E...
SIGECOM
2011
ACM
311views ECommerce» more  SIGECOM 2011»
12 years 9 months ago
The role of social networks in online shopping: information passing, price of trust, and consumer choice
While social interactions are critical to understanding consumer behavior, the relationship between social and commerce networks has not been explored on a large scale. We analyze...
Stephen Guo, Mengqiu Wang, Jure Leskovec
KDD
2009
ACM
180views Data Mining» more  KDD 2009»
14 years 7 months ago
Using graph-based metrics with empirical risk minimization to speed up active learning on networked data
Active and semi-supervised learning are important techniques when labeled data are scarce. Recently a method was suggested for combining active learning with a semi-supervised lea...
Sofus A. Macskassy