Asking the Right Questions in Crowd Data Sourcing

Rubi Boim, Ohad Greenshpan, Tova Milo, Slava Novgorodov, Neoklis Polyzotis, Wang-Chiew Tan
2012 2012 IEEE 28th International Conference on Data Engineering  
Crowd-based data sourcing is a new and powerful data procurement paradigm that engages Web users to collectively contribute information. In this work we target the problem of gathering data from the crowd in an economical and principled fashion. We present AskIt! , a system that allows interactive data sourcing applications to effectively determine which questions should be directed to which users for reducing the uncertainty about the collected data. AskIt! uses a set of novel algorithms for
more » ... nimizing the number of probing (questions) required from the different users. We demonstrate the challenge and our solution in the context of a multiple-choice question game played by the ICDE'12 attendees, targeted to gather information on the conference's publications, authors and colleagues.
doi:10.1109/icde.2012.122 dblp:conf/icde/BoimGMNPT12 fatcat:rw25s7okkvghjalo7x6b7oudeq