PPT-Crowdsourcing using Mechanical Turk:

Author : lois-ondreau | Published Date : 2018-12-08

Quality Management and Scalability Panos Ipeirotis Stern School of Business New York University Joint work with Jing Wang Foster Provost Josh Attenberg and

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Crowdsourcing using Mechanical Turk:: Transcript


Quality Management and Scalability Panos Ipeirotis Stern School of Business New York University Joint work with Jing Wang Foster Provost Josh Attenberg and Victor Sheng Special thanks to . Opportunity or . New . Threat? . Major Area Exam: June 12. th. Gang Wang. Committee:. Prof. . Ben Y. Zhao (. Co-chair. ). Prof. Heather Zheng . (Co-chair. ). Prof. . Christopher Kruegel. Why . Crowdsourcing. Gaurang Jadia. CS575 Human Issues in Computing. Outline. Introduction. Big Picture: Process. Breaking down to Models. Crowd Wisdom. Harvesting Distributed Intellect. Crowdsourcing Is Not Open Source. 5 lines of fun. 5 line poem. Lines 1, 2 and 5 rhyme and can’t be more than 9 syllables. Lines 3 & 4 rhyme. Ex.. There once was a fellow named Dirk,. Whose work was to clerk for a Turk;. When he said he would quit,. Using SIS. Duncan Yung. Crowdsourcing. Example: Find the lowest price of a product. Distribute the task to different workers.. Workers submit answers.. Return the lowest price when timeout.. Crowdsourcing. HARPKE et al. / Turk J Bot T. reatments . in . Precision . P. ain . M. edicine: Rationale for Splitting (Stratifying) vs. Lumping. Dennis C. Turk, Ph.D.. Department of Anesthesiology & Pain Research. and. Center for Research on Pain Impact, Measurement, & Effectiveness (C-PRIME). Christopher H. Lin, Mausam, Daniel S. Weld. University of Washington. AAAI-2012, Toronto, ON, Canada. 1. 2. 3. Translate A. B. 4. Translate A. B. HumanTr. A. B. Choose. HumanTr. A. B. 5. Translate A. Alex Quinn and Tom Yeh. HCIL Symposium. May 25, 2011. Interface. options. Easy web-based tool. http://requester.mturk.com. REST and SOAP APIs (HTTP). Wrapper SDKs: Java, .NET, Perl, PHP, Ruby. Command line tool. Jakub Šimko. , Mária Bieliková. j. akub.simko. @stuba.sk. , . maria.bielikova. @stuba.sk. We believe that . eye-tracking. has a future place in . crowdsourcing. scenarios.. 2. Crowdsourcing. means using of a mass of people to.  . Qi Li. 1. , . Fenglong. Ma. 1. , Jing Gao. 1. , Lu Su. 1. , Christopher J. Quinn. 2. 1. SUNY Buffalo; . 2. Purdue University . 1. What is Crowdsourcing? . Terminology. Requester. Worker. HITs. Instance. Joint work with AnHai Doan, Sanjib Das, Jeffrey . Naughton. , Ram . Rampalli. , Jude . Shavlik. , and Jerry Zhu. Corleone: Hands-Off Crowdsourcing. for Entity Matching. @. Walmart. Labs. Entity Matching. CrowdSourcing. based Indoor Localization. Cheng Wu 5110309335. Reference. :. Zee: Zero-Effort Crowdsourcing for Indoor Localization. Related work . RF Fingerprinting based . Localization. MetaSUB. . 2015. Jifeng. (Jeff) Zhu, MBA, . CCRP. Abigail Lyons. Weill Cornell . Clinical and Translational Science Center. 2. “Infrastructure . to Support Translational . Research”. “Partnering Makes it Possible” . 2. Spatial and . Spatio. -temporal Data Analysis Frameworks . St. ^2—Tools for . S. patio. -. t. emporal Data . S. tory. t. elling. Understanding US Emotions in Time and Space. Intelligent Crowdsourcing .

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