Query expansion using local and global document analysis
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
CiteSeer: an automatic citation indexing system
Proceedings of the third ACM conference on Digital libraries
Re-ranking model based on document clusters
Information Processing and Management: an International Journal
Expertise identification using email communications
CIKM '03 Proceedings of the twelfth international conference on Information and knowledge management
Progress in information retrieval
ECIR'06 Proceedings of the 28th European conference on Advances in Information Retrieval
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We examine the use of authorship information in information retrieval for closed communities by extracting expert rankings for queries. We demonstrate that these rankings can be used to re-rank baseline search results and improve performance significantly. We also perform experiments in which we base expertise ratings only on first authors or on all except the final authors, and find that these limitations do not further improve our re-ranking method.