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Integrating multiple document features in language models for expert finding
2009
Knowledge and Information Systems
We argue that expert finding is sensitive to multiple document features in an organizational intranet. These document features include multiple levels of associations between experts and a query topic from sentence, paragraph, up to document levels, document authority information such as the PageRank, indegree, and URL length of documents, and internal document structures that indicate the experts' relationship with the content of documents. Our assumption is that expert finding can largely
doi:10.1007/s10115-009-0202-6
fatcat:khytackpsvc45khqqbb6b37uki