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Encouraging user participation in a course recommender system: An impact on user behavior

Farzan, R and Brusilovsky, P (2011) Encouraging user participation in a course recommender system: An impact on user behavior. Computers in Human Behavior, 27 (1). 276 - 284. ISSN 0747-5632

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User participation emerged as a critical issue for collaborative and social recommender systems as well as for a range of other systems based on the power of user community. A range of mechanisms to encourage user participation in social systems has been proposed over the last few years; however, the impact of these mechanisms on users behavior in recommender systems has not been studied sufficiently. This paper investigates the impact of encouraging user participation in the context of CourseAgent, a community-based course recommender system. The recommendation power of CourseAgent is based on course ratings provided by a community of students. To increase the number of course ratings, CourseAgent applies an incentive mechanism which turns user feedback into a self-beneficial activity. In this paper, we describe the design and implementation of our course recommendation system and its incentive mechanism. We also report a dual impact of this mechanism on user behavior discovered in two user studies. © 2010 Elsevier Ltd. All rights reserved.


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Item Type: Article
Status: Published
CreatorsEmailPitt UsernameORCID
Farzan, Rrfarzan@pitt.eduRFARZAN
Brusilovsky, Ppeterb@pitt.eduPETERB0000-0002-1902-1464
Date: 1 January 2011
Date Type: Publication
Journal or Publication Title: Computers in Human Behavior
Volume: 27
Number: 1
Page Range: 276 - 284
DOI or Unique Handle: 10.1016/j.chb.2010.08.005
Institution: University of Pittsburgh
Schools and Programs: School of Information Sciences > Information Science
Refereed: Yes
ISSN: 0747-5632
Date Deposited: 07 Jul 2011 19:08
Last Modified: 02 Feb 2019 16:55


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