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SuggestBot: using intelligent task routing to help people find work in Wikipedia
Abstract Member-maintained communities ask their usMember-maintained communities ask their users to perform tasks the community needs. From Slashdot, to {IMDb}, to Wikipedia, groups with diverse interests create community-maintained artifacts of lasting value {(CALV)} that support the group's main purpose and provide value to others. Said communities don't help members find work to do, or do so without regard to individual preferences, such as Slashdot assigning meta-moderation randomly. Yet social science theory suggests that reducing the cost and increasing the personal value of contribution would motivate members to participate {more.We} present {SuggestBot}, software that performs intelligent task routing (matching people with tasks) in Wikipedia. {SuggestBot} uses broadly applicable strategies of text analysis, collaborative filtering, and hyperlink following to recommend tasks. {SuggestBot's} intelligent task routing increases the number of edits by roughly four times compared to suggesting random articles. Our contributions are: 1) demonstrating the value of intelligent task routing in a real deployment; 2) showing how to do intelligent task routing; and 3) sharing our experience of deploying a tool in Wikipedia, which offered both challenges and opportunities for research.challenges and opportunities for research.
Added by wikilit team Added on initial load  +
Collected data time dimension Cross-sectional  +
Comments "SuggestBot's intelligent task routing increases the number of edits by roughly four times compared to suggesting random articles." p. 32
Conclusion SuggestBot's intelligent task routing incrSuggestBot's intelligent task routing increases the number of edits by roughly four times compared to suggesting random articles. Our contributions are: 1) demonstrating the value of intelligent task routing in a real deployment; 2) showing how to do intelligent task routing; and 3) sharing our experience of deploying a tool in Wikipedia, which offered both challenges and opportunities for research.challenges and opportunities for research.
Data source Wikipedia pages  +
Doi 10.1145/1216295.1216309 +
Google scholar url http://scholar.google.com/scholar?ie=UTF-8&q=%22SuggestBot%3A%2Busing%2Bintelligent%2Btask%2Brouting%2Bto%2Bhelp%2Bpeople%2Bfind%2Bwork%2Bin%2BWikipedia%22  +
Has author Daniel Regis Cosley + , Dan Frankowski + , Loren Terveen + , John Riedl +
Has domain Computer science +
Has topic Other antecedents of participation + , Collaboration software +
Pages 32-41  +
Peer reviewed Yes  +
Publication type Conference paper  +
Published in IUI '07 Proceedings of the 12th international conference on Intelligent user interfaces +
Research design Statistical analysis  +
Research questions Said communities don't help members find wSaid communities don't help members find work to do, or do so without regard to individual preferences, such as Slashdot assigning meta-moderation randomly. Yet social science theory suggests that reducing the cost and increasing the personal value of contribution would motivate members to participate more.We present SuggestBot, software that performs intelligent task routing (matching people with tasks) in Wikipedia. SuggestBot uses broadly applicable strategies of text analysis, collaborative filtering, and hyperlink following to recommend tasks.nd hyperlink following to recommend tasks.
Revid 10,953  +
Theories Undetermined
Theory type Analysis  + , Design and action  +
Title SuggestBot: using intelligent task routing to help people find work in Wikipedia
Unit of analysis N/A  +
Url http://dl.acm.org/citation.cfm?id=1216295.1216309  +
Wikipedia coverage Main topic  +
Wikipedia data extraction Live Wikipedia  +
Wikipedia language Not specified  +
Wikipedia page type Article  + , User  +
Year 2007  +
Creation dateThis property is a special property in this wiki. 15 March 2012 20:30:17  +
Categories Other antecedents of participation  + , Collaboration software  + , Computer science  + , Publications  +
Modification dateThis property is a special property in this wiki. 30 January 2014 20:31:29  +
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