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Iterative Learning for Reliable Crowdsourcing Systems
Published on Jan 25, 20127160 Views
Crowdsourcing systems, in which tasks are electronically distributed to numerous "information piece-workers", have emerged as an effective paradigm for human-powered solving of large scale problems in
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Chapter list
Iterative Learning for Reliable Crowdsourcing Systems00:00
What is Crowdsourcing?00:10
Crowdsourcing - 101:05
Crowdsourcing - 201:16
Crowdsourcing - 301:26
Crowdsourcing - 401:31
Crowdsourcing - 602:03
Crowdsourcing - 702:03
Crowdsourcing - 502:04
Crowdsourcing - 802:05
Crowdsourcing - 902:33
Crowdsourcing - 1003:13
Previous Work on Reliable Crowdsourcing - 103:26
Previous Work on Reliable Crowdsourcing - 203:51
Task Assignment - 104:19
Task Assignment - 205:03
Modeling the Crowd06:04
Inference Problem - 107:17
Inference Problem - 207:38
Inference Problem - 307:48
Inference Problem - 408:03
Inference Problem - 508:44
Iterative Algorithm for Inference - 108:55
Iterative Algorithm for Inference - 209:10
Iterative Algorithm as Singular Vector Computation10:34
Experiments with Real Crowdsourcing Tasks - 112:48
Experiments with Real Crowdsourcing Tasks - 213:10
Experiments with Real Crowdsourcing Tasks - 313:35
Experiments with Real Crowdsourcing Tasks - 414:00
Which Task Assignment is Good? - 114:32
Which Task Assignment is Good? - 214:51
Performance Analysis - 115:00
Performance Analysis - 216:08
How Good is the Performance?16:41
Implications17:50
Adaptive Task Assignment - 117:51
Adaptive Task Assignment - 217:51
Adaptive Task Assignment - 317:52
Adaptive Task Assignment - 417:52
Adaptive Task Assignment - 517:53
Conclusion17:54