Difference between revisions of "Suggestbot: Using Intelligent Task Routing to Help People Find Work in Wikipedia"
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| + | | title = Suggestbot: Using Intelligent Task Routing to Help People Find Work in Wikipedia | ||
| + | | date = 2007 | ||
| + | | authors = [[Dan Cosley]]<br />[[Dan Frankowski]]<br />[[Loren G. Terveen]]<br />[[John Riedl]] | ||
| + | | doi = 10.1145/1216295.1216309 | ||
| + | | link = https://dl.acm.org/citation.cfm?doid=1216295.1216309 | ||
| + | }} | ||
'''Suggestbot: Using Intelligent Task Routing to Help People Find Work in Wikipedia''' - scientific work related to [[Wikipedia quality]] published in 2007, written by [[Dan Cosley]], [[Dan Frankowski]], [[Loren G. Terveen]] and [[John Riedl]]. | '''Suggestbot: Using Intelligent Task Routing to Help People Find Work in Wikipedia''' - scientific work related to [[Wikipedia quality]] published in 2007, written by [[Dan Cosley]], [[Dan Frankowski]], [[Loren G. Terveen]] and [[John Riedl]]. | ||
== Overview == | == Overview == | ||
Member-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.Authors 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. Authors 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 experience of deploying a tool in Wikipedia, which offered both challenges and opportunities for research. | Member-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.Authors 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. Authors 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 experience of deploying a tool in Wikipedia, which offered both challenges and opportunities for research. | ||
Revision as of 23:33, 7 August 2019
Authors | Dan Cosley Dan Frankowski Loren G. Terveen John Riedl |
|---|---|
Publication date | 2007 |
DOI | 10.1145/1216295.1216309 |
Links | Original |
Suggestbot: Using Intelligent Task Routing to Help People Find Work in Wikipedia - scientific work related to Wikipedia quality published in 2007, written by Dan Cosley, Dan Frankowski, Loren G. Terveen and John Riedl.
Overview
Member-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.Authors 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. Authors 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 experience of deploying a tool in Wikipedia, which offered both challenges and opportunities for research.
