Andrey V. Konstantinov

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This paper considers a data analysis system for collaborative platforms which was developed by the joint research team of the National Research University Higher School of Economics and the Witology company. Our focus is on describing the methodology and results of the first experiments. The developed system is based on several modern models and methods for(More)
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(More)
We propose a new approach for Collaborative filtering which is based on Boolean Matrix Factorisation (BMF) and Formal Concept Analysis. In a series of experiments on real data (Movielens dataset) we compare the approach with the SVD-and NMF-based algorithms in terms of Mean Average Error (MAE). One of the experimental consequences is that it is enough to(More)
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