Finding experts and their eetails in e-mail corpora
Proceedings of the 15th international conference on World Wide Web
Voting for candidates: adapting data fusion techniques for an expert search task
CIKM '06 Proceedings of the 15th ACM international conference on Information and knowledge management
Broad expertise retrieval in sparse data environments
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
The search for expertise: to the documents and beyond
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Modeling multi-step relevance propagation for expert finding
Proceedings of the 17th ACM conference on Information and knowledge management
The Right Expert at the Right Time and Place
PAKM '08 Proceedings of the 7th International Conference on Practical Aspects of Knowledge Management
Employing document dependency in blog search
Journal of the American Society for Information Science and Technology
Recommending high utility query via session-flow graph
ECIR'13 Proceedings of the 35th European conference on Advances in Information Retrieval
Robust question answering over the web of linked data
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
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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 one-step propagation.