'Expert finding' diaporamas de présentation

Learning Relationships Defined by Linear Combinations of Constrained Random Walks

Learning Relationships Defined by Linear Combinations of Constrained Random Walks. William W. Cohen Machine Learning Department and Language Technologies Institute School of Computer Science Carnegie Mellon University joint work with: Ni Lao Language Technologies Institute Tom Mitchell

514 views • 40 slides

Learning Relationships Defined by Linear Combinations of Constrained Random Walks

Learning Relationships Defined by Linear Combinations of Constrained Random Walks. William W. Cohen Machine Learning Department and Language Technologies Institute School of Computer Science Carnegie Mellon University joint work with: Ni Lao Language Technologies Institute Tom Mitchell

409 views • 40 slides

A Mixture Model for Expert Finding

A Mixture Model for Expert Finding. Jing Zhang , Jie Tang, Liu Liu, and Juanzi Li Tsinghua University 2008-5-23. Outline. Motivation Related Work Our Approach Experiments Conclusion. Introduction.

415 views • 30 slides

A Mixture Model for Expert Finding

A Mixture Model for Expert Finding. Jing Zhang , Jie Tang, Liu Liu, and Juanzi Li Tsinghua University 2008-5-23. Outline. Motivation Related Work Our Approach Experiments Conclusion. Introduction.

363 views • 30 slides

Social Influence Analysis in Large-scale Networks

Social Influence Analysis in Large-scale Networks. Jie Tang 1 , Jimeng Sun 2 , Chi Wang 1 , and Zi Yang 1 1 Dept. of Computer Science and Technology Tsinghua University 2 IBM TJ Watson Research Center, USA June 30 th 2009. Motivation.

492 views • 29 slides

Social Influence Analysis in Large-scale Networks

Social Influence Analysis in Large-scale Networks. Jie Tang 1 , Jimeng Sun 2 , Chi Wang 1 , and Zi Yang 1 1 Dept. of Computer Science and Technology Tsinghua University 2 IBM TJ Watson Research Center, USA June 30 th 2009. Motivation.

458 views • 29 slides

Automatic people tagging for expertise profiling in the enterprise

Automatic people tagging for expertise profiling in the enterprise. Pavel Serdyukov * ( Yandex , Moscow, Russia) Mike Taylor, Vishwa Vinay , Matthew Richardson, Ryen White (Microsoft Research, Cambridge / Redmond). * Work was done while visiting MSR Cambridge. The need for experts.

367 views • 26 slides

Automatic people tagging for expertise profiling in the enterprise

Automatic people tagging for expertise profiling in the enterprise. Pavel Serdyukov * (Yandex, Moscow, Russia) Mike Taylor, Vishwa Vinay, Matthew Richardson, Ryen White (Microsoft Research, Cambridge / Redmond). * Work was done while visiting MSR Cambridge. The need for experts.

352 views • 26 slides

Automatic people tagging for expertise profiling in the enterprise

Automatic people tagging for expertise profiling in the enterprise. Pavel Serdyukov * (Yandex, Moscow, Russia) Mike Taylor, Vishwa Vinay, Matthew Richardson, Ryen White (Microsoft Research, Cambridge / Redmond). * Work was done while visiting MSR Cambridge. The need for experts.

261 views • 26 slides

Expert Finding for eCollaboration Using FOAF with RuleML Rules MCeTECH 2006 18-19 May 2006

Expert Finding for eCollaboration Using FOAF with RuleML Rules MCeTECH 2006 18-19 May 2006. Jie Li 1 , 2 , Harold Boley 1 , 2 , Virendrakumar C. Bhavsar 1 , Jing Mei 3 1 University of New Brunswick, Canada 2 National Research Council of Canada 3 Peking University, China. Contents.

231 views • 23 slides

Enhancing Expert Finding Using Organizational Hierarchies

Enhancing Expert Finding Using Organizational Hierarchies. Maryam Karimzadehgan (U. Illinois Urbana-Champaign )*, Ryen White (MSR), Matthew Richardson (MSR) Presented by Ryen White Microsoft Research. * MSR Intern, Summer 08. Motivation for expert finding.

317 views • 21 slides

A PDD Approach for Expert Finding

A PDD Approach for Expert Finding. Fu Yupeng Tsinghua Univ. Backgroud. Finding a expert in an organization using corporate information Frequently asked question Not well addressed in research Hot research topic in recent years. Characteristics.

279 views • 16 slides

COLLABORATIVE STORYTELLING IN THE WEB 2.0

220 views • 16 slides