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Building Expertise Network by Tagging People Yan Qu iSchool, University of Maryland Jun Zhang Pitney Bowes, Inc.

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Presentation on theme: "Building Expertise Network by Tagging People Yan Qu iSchool, University of Maryland Jun Zhang Pitney Bowes, Inc."— Presentation transcript:

1 Building Expertise Network by Tagging People Yan Qu iSchool, University of Maryland Yanqu@umd.edu Jun Zhang Pitney Bowes, Inc. Jun.Zhang@pb.com

2 Where are the Experts in Organizations and Communities? How can I find expert to ask questions or to collaborate? What types of expertise do we have? Do we know each other’s expertise? What do other people think I am good at? What I want other people to know me about?

3 How about an Expertise Knowledge-Base An Expertise Knowledge-Base Who knows what? How can I contact the experts? The Desiderata Up to Date Complete Accurate …

4 How about an Expertise Knowledge-Base Many ways of building Expertise Knowledge- Base HR collects employee’s profile Mining people’s webpages Let people report their own expertise Let people report other’s expertise Can they provide complete, accurate, and up- to-date Expertise Knowledge-Base?

5 People Tagging + “Game” A new way to identify and find expertise in an organization or a local community People tagging “Game with a purpose” Expertise network visualization & analysis

6 Tag your colleagues

7 Explore the expertise network

8 Search expertise

9 Request for experts

10 Pilot Study Deployed the system in a research unit at a large corporation, and two course sections at the University of Maryland

11 Within 3 Weeks… The corporation UM- Course1 UM- Course2 # People 906225 # Registered User 536225 # Tags 23061705367 # Tagger 414613 # Being tagged 675711

12 Making Sense of Organizational Expertise

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15 Lessons Learned Incentive for participation Getting started Knowledge structure underlying the tags Social psychology Privacy & Security

16 Take Home Points People Tagging is an effective way of building organizational expertise knowledge-base Many design challenges Need advanced systems supporting the Sensemaking of large expertise knowledge- base

17 Thanks! Yan Qu yanqu@umd.edu yanqu@umd.edu

18 Compare with Peer System People Tagging - IBM Farrell et al. Collabio - Facebook Tan et al. (MSR)

19 Lessons Learned Incentive for participation Fun, reputation, organizational identity Getting started Build upon existing network

20 It’s a Long Way to Go Quality of the tags Problem - Mismatch between the purpose of tagging the usage of tags Do the tags match people’s expertise? Self perception vs. community perception Level of abstraction Level of expertise Different types of expertise Can people find experts using the tags Vocabulary problem Relationship between the tags

21 It’s a Long Way to Go Social psychology Inappropriate tags Winner & loser? Popular person? Privacy & Security


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