FCA-Based Recommender Models and Data Analysis for Crowdsourcing Platform Witology

  • Dmitry I. IgnatovEmail author
  • Alexandra Yu. Kaminskaya
  • Natalia Konstantinova
  • Alexander Malyukov
  • Jonas Poelmans
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8577)


This paper considers a recommender part of the data analysis system for the collaborative platform Witology. It was developed by the joint research team of the National Research University Higher School of Economics and the Witology company. This recommender system is able to recommend ideas, like-minded users and antagonists at the respective phases of a crowdsourcing project. All the recommender methods were tested in the experiments with real datasets of the Witology company.


collaborative and crowdsourcing platforms data mining Formal Concept Analysis biclustering recommender systems 


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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Dmitry I. Ignatov
    • 1
    Email author
  • Alexandra Yu. Kaminskaya
    • 1
  • Natalia Konstantinova
    • 4
  • Alexander Malyukov
    • 2
  • Jonas Poelmans
    • 1
    • 3
  1. 1.National Research University Higher School of EconomicsMoscowRussia
  2. 2.WitologyMoscowRussia
  3. 3.KU LeuvenLeuvenBelgium
  4. 4.University of WolverhamptonWolverhamptonUK

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