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ICDE
2008
IEEE
110views Database» more  ICDE 2008»
14 years 9 months ago
Standing Out in a Crowd: Selecting Attributes for Maximum Visibility
In recent years, there has been significant interest in development of ranking functions and efficient top-k retrieval algorithms to help users in ad-hoc search and retrieval in da...
Muhammed Miah, Gautam Das, Vagelis Hristidis, Heik...
CSCW
2008
ACM
13 years 9 months ago
Harnessing the wisdom of crowds in wikipedia: quality through coordination
Wikipedia's success is often attributed to involving large numbers of contributors who improve the accuracy, completeness and clarity of articles while reducing bias. However...
Aniket Kittur, Robert E. Kraut
FC
2008
Springer
107views Cryptology» more  FC 2008»
13 years 9 months ago
Evaluating the Wisdom of Crowds in Assessing Phishing Websites
Abstract. We examine the structure and outcomes of user participation in PhishTank, a phishing-report collator. Anyone who wishes may submit URLs of suspected phishing websites, an...
Tyler Moore, Richard Clayton
JCP
2008
112views more  JCP 2008»
13 years 8 months ago
Speech Displaces the Graphical Crowd
Developers of visual Interface Design Environments (IDEs), like Microsoft Visual Studio and Java NetBeans, are competing in producing pretty crowded graphical interfaces in order t...
Mohammad M. Alsuraihi, Dimitris I. Rigas
SIGIR
2011
ACM
12 years 10 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