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Regular version of the site

Book chapter

Boolean Matrix Factorisation for Collaborative Filtering: An FCA-Based Approach

P. 47-58.
Ignatov D. I., Ненова Е. Н., Konstantinov A. V., Константинова Н. С.

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 an SVD-based one in terms of Mean Average Error (MAE). One of the experimental consequences is that it is enough to have a binary-scaled rating data to obtain almost the same quality in terms of MAE by BMF as for the SVD-based algorithm in case of non-scaled data.

In book

Boolean Matrix Factorisation for Collaborative Filtering: An FCA-Based Approach
Edited by: G. Agre, P. Hitzler, A. A. Krisnadhi et al. Vol. 8722. Cham; Heidelberg; NY; Dordrecht; L.: Springer, 2014.