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Regular version of the site

Book chapter

An FCA-based Boolean Matrix Factorisation for Collaborative Filtering

P. 57-73.
Nenova Elena, Ignatov D. I., Konstantinov A. V.

We propose a new approach for Collaborative ltering 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 con- sequences is that it is enough to have a binary-scaled rating data to obtain almost the same quality in terms of MAE by BMF than for the SVD-based algorithm in case of non-scaled data.

In book

Edited by: C. Carpineto, A. Napoli, S. Kuznetsov. Vol. 977. Aachen: CEUR Workshop Proceedings, 2013.