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ECIR
2011
Springer

A User-Oriented Model for Expert Finding

13 years 2 months ago
A User-Oriented Model for Expert Finding
Expert finding addresses the problem of retrieving a ranked list of people who are knowledgeable on a given topic. Several models have been proposed to solve this task, but so far these have focused solely on returning the most knowledgeable people as experts on a particular topic. In this paper we argue that in a real-world organizational setting the notion of the “best expert” also depends on the individual user and her needs. We propose a user-oriented approach that balances two factors that influence the user’s choice: time to contact an expert, and the knowledge value gained after. We use the distance between the user and an expert in a social network to estimate contact time, and consider various social graphs, based on organizational hierarchy, geographical location, and collaboration, as well as the combination of these. Using a realistic test set, created from interactions of employees with a university-wide expert search engine, we demonstrate substantial improvements...
Elena Smirnova, Krisztian Balog
Added 27 Aug 2011
Updated 27 Aug 2011
Type Journal
Year 2011
Where ECIR
Authors Elena Smirnova, Krisztian Balog
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