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 random walk. The evaluation on the two official Enterprise TREC data sets demonstrates the advantage of our method over the state-of-the-art method based on onestep propagation. Categories and Subject Descriptors: H.3 [Information Storage and Retrieval]: H.3.3 Information Search and Retrieval. General Terms: Algorithms, Measurement, Performance, Experimentation.

• Type: Journal
• Year: 2008
• Where: SIGIR
• Authors: Pavel Serdyukov, Henning Rode, Djoerd Hiemstra
• Keywords: Enterprise TREC Data, Information Technology, Multi-step Relevance Propagation, Relevance Propagation, SIGIR 2008