Sciweavers

Free Online Productivity Tools i2Speak i2Symbol i2OCR iTex2Img iWeb2Print iWeb2Shot i2Type iPdf2Split iPdf2Merge i2Bopomofo i2Arabic i2Style i2Image i2PDF iLatex2Rtf Sci2ools

9

SAC
2010
ACM

favoriteEmaildiscussreport

126views Applied Computing» more SAC 2010»

Prediction of social bookmarking based on a behavior transition model

13 years 11 months ago

Prediction of social bookmarking based on a behavior transition model

Download www.miv.t.u-tokyo.ac.jp

Tadanobu Furukawa, Seishi Okamoto, Yutaka Matsuo,

Real-time Traffic

Applied Computing | SAC 2010 |

claim paper

Related Content

» Exploiting sessionlike behaviors in tag prediction

» Content based social behavior prediction a multitask learning approach

» Using Logic Models To Predict The Detection Behavior Of Statistical Timing Defects

» Modeling and predicting personal information dissemination behavior

» Scalable learning of collective behavior based on sparse social dimensions

» Towards a Cognitive Model of Crowd Behavior Based on Social Comparison Theory

» Learning to Predict Ad Clicks Based on Boosted Collaborative Filtering

» Youll never walk alone modeling social behavior for multitarget tracking

» Explaining and Predicting the Behavior of BDIBased Agents in RolePlaying Games

Post Info
More Details (n/a)

Added	17 May 2010
Updated	17 May 2010
Type	Conference
Year	2010
Where	SAC
Authors	Tadanobu Furukawa, Seishi Okamoto, Yutaka Matsuo, Mitsuru Ishizuka

Comments (0)