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» Probabilistic Models for Expert Finding
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SIGIR
2008
ACM
13 years 6 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
CI
2004
99views more  CI 2004»
13 years 6 months ago
Purpose-Based Expert Finding in a Portfolio Management System
Most of the research inthe area of expert finding focuses on creating and maintaining centralized directories of experts' profiles, which users can search on demand. However, ...
Xiaolin Niu, Gordon I. McCalla, Julita Vassileva
CHI
2000
ACM
13 years 10 months ago
Agents to assist in finding help
When a novice needs help, often the best solution is to find a human expert who is capable of answering the novice’s questions. But often, novices have difficulty characterizing...
Adriana Santarosa Vivacqua, Henry Lieberman
CIKM
2008
Springer
13 years 8 months ago
Non-local evidence for expert finding
The task addressed in this paper, finding experts in an enterprise setting, has gained in importance and interest over the past few years. Commonly, this task is approached as an ...
Krisztian Balog, Maarten de Rijke
GECCO
2011
Springer
236views Optimization» more  GECCO 2011»
12 years 9 months ago
Online, GA based mixture of experts: a probabilistic model of ucs
In recent years there have been efforts to develop a probabilistic framework to explain the workings of a Learning Classifier System. This direction of research has met with lim...
Narayanan Unny Edakunni, Gavin Brown, Tim Kovacs