Crowdsourcing

Results: 2307



#Item
41MyriadHub: Efficiently Scaling Personalized Email Conversations with Valet Crowdsourcing Nicolas Kokkalis* 1, Chengdiao Fan* 1, Johannes Roith1, Michael S. Bernstein1, Scott Klemmer2 1 Stanford University, 2UC San Diego

MyriadHub: Efficiently Scaling Personalized Email Conversations with Valet Crowdsourcing Nicolas Kokkalis* 1, Chengdiao Fan* 1, Johannes Roith1, Michael S. Bernstein1, Scott Klemmer2 1 Stanford University, 2UC San Diego

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Source URL: myriadhub.com

- Date: 2017-04-17 02:52:55
    42Making Better Use of the Crowd: How Crowdsourcing Can Advance Machine Learning Research Jennifer Wortman Vaughan Microsoft Research 641 Avenue of the Americas, 7th Floor New York, NY 10011

    Making Better Use of the Crowd: How Crowdsourcing Can Advance Machine Learning Research Jennifer Wortman Vaughan Microsoft Research 641 Avenue of the Americas, 7th Floor New York, NY 10011

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    Source URL: www.jennwv.com

    - Date: 2017-11-27 17:09:39
      43Mechanical Novel: Crowdsourcing Complex Work through Reflection and Revision Joy Kim, Sarah Sterman, Allegra Argent Beal Cohen, Michael S. Bernstein Stanford University {jojo0808, ssterman, aacohen}@stanford.edu, msb@cs.

      Mechanical Novel: Crowdsourcing Complex Work through Reflection and Revision Joy Kim, Sarah Sterman, Allegra Argent Beal Cohen, Michael S. Bernstein Stanford University {jojo0808, ssterman, aacohen}@stanford.edu, msb@cs.

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      Source URL: hci.stanford.edu

      - Date: 2016-11-08 13:50:14
        44Microsoft Word - Demographics of Mechanical Turk - new.docx

        Microsoft Word - Demographics of Mechanical Turk - new.docx

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        Source URL: crowdsourcing-class.org

        - Date: 2017-02-10 10:15:55
          45Embracing Error to Enable Rapid Crowdsourcing Ranjay Krishna1 , Kenji Hata1 , Stephanie Chen1 , Joshua Kravitz1 , David A. Shamma2 , Li Fei-Fei1 , Michael S. Bernstein1 Stanford University1 , Yahoo! Labs2 {ranjaykrishna,

          Embracing Error to Enable Rapid Crowdsourcing Ranjay Krishna1 , Kenji Hata1 , Stephanie Chen1 , Joshua Kravitz1 , David A. Shamma2 , Li Fei-Fei1 , Michael S. Bernstein1 Stanford University1 , Yahoo! Labs2 {ranjaykrishna,

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          Source URL: arxiv.org

          - Date: 2016-02-15 20:27:56
            46Perceived Performance of Webpages In the Wild Insights from Large-scale Crowdsourcing of Above-the-Fold QoE Qingzhu Gao* Prasenjit Dey

            Perceived Performance of Webpages In the Wild Insights from Large-scale Crowdsourcing of Above-the-Fold QoE Qingzhu Gao* Prasenjit Dey

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            Source URL: arxiv.org

            - Date: 2017-04-05 21:25:57
              47Large-Scale Markov Decision Problems with KL Control Cost and its Application to Crowdsourcing Yasin Abbasi-Yadkori Queensland University of Technology

              Large-Scale Markov Decision Problems with KL Control Cost and its Application to Crowdsourcing Yasin Abbasi-Yadkori Queensland University of Technology

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              Source URL: www.jmlr.org

              - Date: 2015-09-16 19:38:43
                48Using crowdsourcing to get representations based on regular expressions Anders Søgaard and Hector Martinez and Jakob Elming and Anders Johannsen Center for Language Technology University of Copenhagen DK-2300 Copenhagen

                Using crowdsourcing to get representations based on regular expressions Anders Søgaard and Hector Martinez and Jakob Elming and Anders Johannsen Center for Language Technology University of Copenhagen DK-2300 Copenhagen

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                Source URL: www.aclweb.org

                - Date: 2013-10-09 22:17:10
                  49Money, Glory and Cheap Talk: Analyzing Strategic Behavior of Contestants in Simultaneous Crowdsourcing Contests on TopCoder.com Nikolay Archak New York University, Leonard N. Stern School of Business 44 West 4th Street,

                  Money, Glory and Cheap Talk: Analyzing Strategic Behavior of Contestants in Simultaneous Crowdsourcing Contests on TopCoder.com Nikolay Archak New York University, Leonard N. Stern School of Business 44 West 4th Street,

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                  Source URL: pages.stern.nyu.edu

                  - Date: 2010-03-12 23:59:32
                    50Identifying and Accounting for Task-Dependent Bias in Crowdsourcing Ece Kamar, Ashish Kapoor, Eric Horvitz Microsoft Research Redmond, WA USA {eckamar, akapoor, horvitz}@microsoft.com

                    Identifying and Accounting for Task-Dependent Bias in Crowdsourcing Ece Kamar, Ashish Kapoor, Eric Horvitz Microsoft Research Redmond, WA USA {eckamar, akapoor, horvitz}@microsoft.com

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                    Source URL: research.microsoft.com

                    - Date: 2015-08-31 07:35:22