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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...
WWW
2010
ACM
14 years 2 months ago
Find me if you can: improving geographical prediction with social and spatial proximity
Geography and social relationships are inextricably intertwined; the people we interact with on a daily basis almost always live near us. As people spend more time online, data re...
Lars Backstrom, Eric Sun, Cameron Marlow
CSE
2009
IEEE
14 years 2 months ago
A Study of Information Diffusion over a Realistic Social Network Model
—Sociological models of human behavior can explain population-level phenomena within social systems; computer modeling can simulate a wide variety of scenarios and allow one to p...
Andrea Apolloni, Karthik Channakeshava, Lisa Durbe...
HCI
2007
13 years 9 months ago
Everyday Storytelling: Supporting the Mediated Expression of Online Personal Testimony
Personal stories make our everyday experiences memorable over time. This paper presents ‘Everyday Mediated Storytelling’, a model of the casual storyteller’s process of captu...
Aisling Kelliher, Glorianna Davenport
HPCA
2005
IEEE
14 years 8 months ago
Voltage and Frequency Control With Adaptive Reaction Time in Multiple-Clock-Domain Processors
Dynamic voltage and frequency scaling (DVFS) is a widely-used method for energy-efficient computing. In this paper, we present a new intra-task online DVFS scheme for multiple clo...
Qiang Wu, Philo Juang, Margaret Martonosi, Douglas...