DNIS'11 Proceedings of the 7th international conference on Databases in Networked Information Systems
Using the crowd for top-k and group-by queries
Proceedings of the 16th International Conference on Database Theory
Proceedings of the 2013 ACM SIGMOD International Conference on Management of Data
CrowdMiner: mining association rules from the crowd
Proceedings of the VLDB Endowment
Answering planning queries with the crowd
Proceedings of the VLDB Endowment
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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 Ask It!, 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. Ask It! uses a set of novel algorithms for minimizing 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.