Expertise recommender: a flexible recommendation system and architecture

  • Authors:
  • David W. McDonald;Mark S. Ackerman

  • Affiliations:
  • Department of Information and Computer Science, University of California, Irvine, Irvine, CA;Department of Information and Computer Science, University of California, Irvine, Irvine, CA

  • Venue:
  • CSCW '00 Proceedings of the 2000 ACM conference on Computer supported cooperative work
  • Year:
  • 2000

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Abstract

Locating the expertise necessary to solve difficult problems is a nuanced social and collaborative problem. In organizations, some people assist others in locating expertise by making referrals. People who make referrals fill key organizational roles that have been identified by CSCW and affiliated research. Expertise locating systems are not designed to replace people who fill these key organizational roles. Instead, expertise locating systems attempt to decrease workload and support people who have no other options. Recommendation systems are collaborative software that can be applied to expertise locating. This work describes a general recommendation architecture that is grounded in a field study of expertise locating. Our expertise recommendation system details the work necessary to fit expertise recommendation to a work setting. The architecture and implementation begin to tease apart the technical aspects of providing good recommendations from social and collaborative concerns.