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SIGIR
2011
ACM
14 years 9 months ago
Learning to rank from a noisy crowd
We study how to best use crowdsourced relevance judgments learning to rank [1, 7]. We integrate two lines of prior work: unreliable crowd-based binary annotation for binary classi...
Abhimanu Kumar, Matthew Lease
WWW
2007
ACM
16 years 7 months ago
Investigating behavioral variability in web search
Understanding the extent to which people'ssearch behaviors differ in terms of the interaction flow and information targeted is important in designing interfaces to help World...
Ryen W. White, Steven M. Drucker
CHI
2008
ACM
16 years 7 months ago
Don't look now, but we've created a bureaucracy: the nature and roles of policies and rules in wikipedia
Wikis are sites that support the development of emergent, collective infrastructures that are highly flexible and open, suggesting that the systems that use them will be egalitari...
Brian S. Butler, Elisabeth Joyce, Jacqueline Pike
CSCW
2010
ACM
16 years 3 months ago
The work of sustaining order in wikipedia: the banning of a vandal
In this paper, we examine the social roles of software tools in the English-language Wikipedia, specifically focusing on autonomous editing programs and assisted editing tools. Th...
R. Stuart Geiger, David Ribes
ICSM
2009
IEEE
16 years 1 months ago
On the use of relevance feedback in IR-based concept location
Concept location is a critical activity during software evolution as it produces the location where a change is to start in response to a modification request, such as, a bug repo...
Gregory Gay, Sonia Haiduc, Andrian Marcus, Tim Men...