Proceedings of the 6th international conference on Intelligent user interfaces
Getting to know you: learning new user preferences in recommender systems
Proceedings of the 7th international conference on Intelligent user interfaces
Working for Free? - Motivations of Participating in Open Source Projects
HICSS '01 Proceedings of the 34th Annual Hawaii International Conference on System Sciences ( HICSS-34)-Volume 7 - Volume 7
Shilling recommender systems for fun and profit
Proceedings of the 13th international conference on World Wide Web
Using social psychology to motivate contributions to online communities
CSCW '04 Proceedings of the 2004 ACM conference on Computer supported cooperative work
How oversight improves member-maintained communities
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Insert movie reference here: a system to bridge conversation and item-oriented web sites
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
tagging, communities, vocabulary, evolution
CSCW '06 Proceedings of the 2006 20th anniversary conference on Computer supported cooperative work
SuggestBot: using intelligent task routing to help people find work in wikipedia
Proceedings of the 12th international conference on Intelligent user interfaces
Follow the reader: filtering comments on slashdot
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Conversational recommenders with adaptive suggestions
Proceedings of the 2007 ACM conference on Recommender systems
Communications of the ACM
Proceedings of the 2007 international ACM conference on Supporting group work
Increasing engagement through early recommender intervention
Proceedings of the third ACM conference on Recommender systems
Eliciting and focusing geographic volunteer work
Proceedings of the 2010 ACM conference on Computer supported cooperative work
The effects of diversity on group productivity and member withdrawal in online volunteer groups
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Towards adaptive recruitment and engagement mechanisms in social systems
UMAP'11 Proceedings of the 19th international conference on Advances in User Modeling
Evaluating recommender systems from the user's perspective: survey of the state of the art
User Modeling and User-Adapted Interaction
User effort vs. accuracy in rating-based elicitation
Proceedings of the sixth ACM conference on Recommender systems
Personalized incremental users' engagement: driving contributions one step forward
Proceedings of the 17th ACM international conference on Supporting group work
Motivating contribution in a participatory sensing system via quid-pro-quo
Proceedings of the 17th ACM conference on Computer supported cooperative work & social computing
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Recommender systems try to address the "new user problem" by quickly and painlessly learning user preferences so that users can begin receiving recommendations as soon as possible. We take an expanded perspective on the new user experience, seeing it as an opportunity to elicit valuable contributions to the community and shape subsequent user behavior. We conducted a field experiment in MovieLens where we imposed additional work on new users: not only did they have to rate movies, they also had to enter varying numbers of tags. While requiring more work led to fewer users completing the entry process, the benefits were significant: the remaining users produced a large volume of tags initially, and continued to enter tags at a much higher rate than a control group. Further, their rating behavior was not depressed. Our results suggest that careful design of the initial user experience can lead to significant benefits for an online community.