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- W4248839233 abstract "An expert search system assists users with their “expertise need” by suggesting people with relevant expertise to their query. Most systems work by ranking documents in response to the query, then ranking the candidates using information from this initial document ranking and known associations between documents and candidates. In this paper, we aim to determine whether we can approximate an evaluation of the expert search system using the underlying document ranking. We evaluate the accuracy of our document ranking evaluation by assessing how closely each measure correlates to the ground truth evaluation of the candidate ranking. Interestingly, we find that improving the underlying ranking of documents does not necessarily result in an improved candidate ranking." @default.
- W4248839233 created "2022-05-12" @default.
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- W4248839233 date "2008-03-26" @default.
- W4248839233 modified "2023-10-18" @default.
- W4248839233 title "Expert Search Evaluation by Supporting Documents" @default.
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- W4248839233 doi "https://doi.org/10.1007/978-3-540-78646-7_55" @default.
- W4248839233 hasPublicationYear "2008" @default.
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