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» Predicting Interests of People on Online Social Networks
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WSDM
2012
ACM
352views Data Mining» more  WSDM 2012»
13 years 5 months ago
Multi-relational matrix factorization using bayesian personalized ranking for social network data
A key element of the social networks on the internet such as Facebook and Flickr is that they encourage users to create connections between themselves, other users and objects. On...
Artus Krohn-Grimberghe, Lucas Drumond, Christoph F...
SIGCOMM
2009
ACM
15 years 4 months ago
Virtual individual servers as privacy-preserving proxies for mobile devices
People increasingly generate content on their mobile devices and upload it to third-party services such as Facebook and Google Latitude for sharing and backup purposes. Although t...
Ramón Cáceres, Landon P. Cox, Harold...
WEBI
2010
Springer
14 years 7 months ago
An Approach to Model and Predict the Popularity of Online Contents with Explanatory Factors
In this paper, we propose a methodology to predict the popularity of online contents. More precisely, rather than trying to infer the popularity of a content itself, we infer the l...
Jong Gun Lee, Sue Moon, Kavé Salamatian
USAB
2010
14 years 8 months ago
Social Acceptance of Negotiation Support Systems
We investigate people’s attitudes towards the possible use of mobile negotiation support systems (NSS) in different social contexts and the consequences for their design. For tha...
Alina Pommeranz, Pascal Wiggers, Willem-Paul Brink...
COMPSAC
2009
IEEE
15 years 1 months ago
Hot Set Identification for Social Network Applications
Several operations of Web-based applications are optimized with respect to the set of resources that will receive the majority of requests in the near future, namely the hot set. U...
Claudia Canali, Michele Colajanni, Riccardo Lancel...