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SIGIR
2008
ACM
13 years 7 months ago
Modeling expert finding as an absorbing random walk
We introduce a novel approach to expert finding based on multi-step relevance propagation from documents to related candidates. Relevance propagation is modeled with an absorbing ...
Pavel Serdyukov, Henning Rode, Djoerd Hiemstra
CASCON
2008
255views Education» more  CASCON 2008»
13 years 9 months ago
Autonomic tuning expert: a framework for best-practice oriented autonomic database tuning
Databases are growing rapidly in scale and complexity. High performance, availability, and further service level agreements need to be satisfied under any circumstances to please ...
David Wiese, Gennadi Rabinovitch, Michael Reichert...
UAI
2003
13 years 9 months ago
Bayesian Hierarchical Mixtures of Experts
The Hierarchical Mixture of Experts (HME) is a well-known tree-structured model for regression and classification, based on soft probabilistic splits of the input space. In its o...
Christopher M. Bishop, Markus Svensén
KAIS
2010
132views more  KAIS 2010»
13 years 6 months ago
Integrating multiple document features in language models for expert finding
We argue that expert finding is sensitive to multiple document features in an organizational intranet. These document features include multiple levels of associations between expe...
Jianhan Zhu, Xiangji Huang, Dawei Song, Stefan M. ...
WICSA
2004
13 years 9 months ago
Real World Influences on Software Architecture - Interviews with Industrial System Experts
Industrial systems are examples of complex and often long-lived systems in which software is playing an increasingly important role. Their architectures play a crucial role in mai...
Goran Mustapic, Anders Wall, Christer Norströ...