• DocumentCode
    124170
  • Title

    Recommender System for Crowdsourcing Platform Witology

  • Author

    Ignatov, Dmitry I. ; Kaminskaya, Alexandra ; Konstantinova, Natalia ; Konstantinov, Andrei

  • Author_Institution
    Sch. of Appl. Math. & Inf. Sci., Nat. Res. Univ. “Higher Sch. of Econ.”, Moscow, Russia
  • Volume
    1
  • fYear
    2014
  • fDate
    11-14 Aug. 2014
  • Firstpage
    327
  • Lastpage
    335
  • Abstract
    This paper discusses the recommender models and methods for crowd sourcing platforms. These models are based on modern methods of data analysis of object-attribute data, such as Formal Concept Analysis and biclustering. In particular, the paper is focused on the solution of two tasks - idea and antagonists recommendation - on the example of crowd sourcing platform Witology.
  • Keywords
    formal concept analysis; outsourcing; pattern clustering; recommender systems; Witology; biclustering; crowdsourcing platform; formal concept analysis; object-attribute data analysis; recommender system; Analytical models; Companies; Correlation; Crowdsourcing; Data analysis; Educational institutions; Recommender systems; Formal Concept Analysis; biclustering; crowdsourcing; recommender systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Web Intelligence (WI) and Intelligent Agent Technologies (IAT), 2014 IEEE/WIC/ACM International Joint Conferences on
  • Conference_Location
    Warsaw
  • Type

    conf

  • DOI
    10.1109/WI-IAT.2014.52
  • Filename
    6927561
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=124170