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ICDM
2010
IEEE
121views Data Mining» more  ICDM 2010»
13 years 5 months ago
Recommending Social Events from Mobile Phone Location Data
A city offers thousands of social events a day, and it is difficult for dwellers to make choices. The combination of mobile phones and recommender systems can change the way one de...
Daniele Quercia, Neal Lathia, Francesco Calabrese,...
KDD
2010
ACM
215views Data Mining» more  KDD 2010»
13 years 11 months ago
On the quality of inferring interests from social neighbors
This paper intends to provide some insights of a scientific problem: how likely one’s interests can be inferred from his/her social connections – friends, friends’ friends,...
Zhen Wen, Ching-Yung Lin
KDD
2012
ACM
220views Data Mining» more  KDD 2012»
11 years 10 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...
INFOCOM
2010
IEEE
13 years 7 months ago
Walking in Facebook: A Case Study of Unbiased Sampling of OSNs
With more than 250 million active users, Facebook (FB) is currently one of the most important online social networks. Our goal in this paper is to obtain a representative (unbiased...
Minas Gjoka, Maciej Kurant, Carter T. Butts, Athin...
IMC
2007
ACM
13 years 9 months ago
Measurement and analysis of online social networks
Online social networking sites like Orkut, YouTube, and Flickr are among the most popular sites on the Internet. Users of these sites form a social network, which provides a power...
Alan Mislove, Massimiliano Marcon, P. Krishna Gumm...