Recommender System for Crowdsourcing Platform Witology

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.

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