User performance versus precision measures for simple search tasks
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
On perfect document rankings for expert search
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Expert search evaluation by supporting documents
ECIR'08 Proceedings of the IR research, 30th European conference on Advances in information retrieval
Mimicking Web search engines for expert search
Information Processing and Management: an International Journal
Learning models for ranking aggregates
ECIR'11 Proceedings of the 33rd European conference on Advances in information retrieval
Foundations and Trends in Information Retrieval
Choosing the right crowd: expert finding in social networks
Proceedings of the 16th International Conference on Extending Database Technology
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The retrieval effectiveness of the underlying document search component of an expert search engine can have an important impact on the effectiveness of the generated expert search results. In this large-scale study, we perform novel experiments in the context of the document search and expert search tasks of the TREC Enterprise track, to measure the influence that the performance of the document ranking has on the ranking of candidate experts. In particular, we show, using real and simulated document rankings, that while the expert search system performance is related to the relevance of the retrieved documents, surprisingly, it is not always the case that increasing document search effectiveness causes an increase in expert search performance.