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Polish Information Processing Society
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Annals of Computer Science and Information Systems, Volume 15

Proceedings of the 2018 Federated Conference on Computer Science and Information Systems

Collective clustering of marketing data—recommendation system Upsaily

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DOI: http://dx.doi.org/10.15439/2018F217

Citation: Proceedings of the 2018 Federated Conference on Computer Science and Information Systems, M. Ganzha, L. Maciaszek, M. Paprzycki (eds). ACSIS, Vol. 15, pages 801–810 ()

Full text

Abstract. The article discusses the importance of the recommendation systems based on data mining mechanisms targeting the e-commerce industry. The article focuses on the use of clustering algorithms to conduct customer segmentation. Results of the operation of many clustering algorithms in segmentation inspired by the RFM method are presented, and the method of collective clustering using the positive effects of each algorithm is separately presented.

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