Monte Carlo Statistical Methods (Springer Texts in Statistics)
Monte Carlo Statistical Methods (Springer Texts in Statistics)
Internet-scale collection of human-reviewed data
Proceedings of the 16th international conference on World Wide Web
MCDB: a monte carlo approach to managing uncertain data
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
Designing games with a purpose
Communications of the ACM - Designing games with a purpose
Improving search engines using human computation games
Proceedings of the 18th ACM conference on Information and knowledge management
Learning string transformations from examples
Proceedings of the VLDB Endowment
Corroborating information from disagreeing views
Proceedings of the third ACM international conference on Web search and data mining
On probabilistic fixpoint and Markov chain query languages
Proceedings of the twenty-ninth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Sampling the repairs of functional dependency violations under hard constraints
Proceedings of the VLDB Endowment
Human-assisted graph search: it's okay to ask questions
Proceedings of the VLDB Endowment
CrowdDB: answering queries with crowdsourcing
Proceedings of the 2011 ACM SIGMOD International Conference on Management of data
Using Markov Chain Monte Carlo to play Trivia
ICDE '11 Proceedings of the 2011 IEEE 27th International Conference on Data Engineering
Asking the Right Questions in Crowd Data Sourcing
ICDE '12 Proceedings of the 2012 IEEE 28th International Conference on Data Engineering
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Harnessing a crowd of Web users for the collection of mass data has recently become a wide-spread phenomenon [9]. Wikipedia [20] is probably the earliest and best known example of crowd-sourced data and an illustration of what can be achieved with a crowd-based data sourcing model. Other examples include social tagging systems for images, which harness millions of Web users to build searchable databases of tagged images; traffic information aggregators like Waze [17]; and hotel and movie ratings like TripAdvisor [19] and IMDb [18].