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- W2082776553 abstract "Searching experts in online social networking services, such as Linked In, is an important and practical problem which has been studied recently. While existing works rely on simply social structure or only personal skills to locate experts, the contextual knowledge, derived from combining skills with social connections, is missed. For example, one may wish to find experts who master at financial and are well-connected with engineers in the Bay Area. By leveraging the social contexts as the search clues, this work proposes and develops a Contextual Expert Search (X <sup xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>2</sup> -Search) system to discover desired experts and teams. X <sup xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>2</sup> -Search provides two major functions, Specialist Finding and Team Formation. Given a set of target and context labels of skills, our system aims to return a ranked list of individuals or teams satisfying the query requirement. Experiments conducted on DBLP bibliography data show the promising effectiveness and efficiency of X <sup xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>2</sup> -Search. In the application practice, X <sup xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>2</sup> -Search system is built on Linked In, and can be extended to the social and expertise data in other domains." @default.
- W2082776553 created "2016-06-24" @default.
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- W2082776553 creator A5040906479 @default.
- W2082776553 date "2013-12-01" @default.
- W2082776553 modified "2023-09-23" @default.
- W2082776553 title "X2-Search: Contextual Expert Search in Social Networks" @default.
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- W2082776553 doi "https://doi.org/10.1109/taai.2013.44" @default.
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