Abstract
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.
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Ignatov, D.I., Kaminskaya, A.Y., Konstantinova, N., Malyukov, A., Poelmans, J. (2014). FCA-Based Recommender Models and Data Analysis for Crowdsourcing Platform Witology. In: Hernandez, N., Jäschke, R., Croitoru, M. (eds) Graph-Based Representation and Reasoning. ICCS 2014. Lecture Notes in Computer Science(), vol 8577. Springer, Cham. https://doi.org/10.1007/978-3-319-08389-6_24
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DOI: https://doi.org/10.1007/978-3-319-08389-6_24
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