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...
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...
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...
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...
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...