Collective clustering of marketing data—recommendation system Upsaily

Maciej Pondel · Jerzy J. Korczak

12 citations0/0 files storedAnnals of Computer Science and Information Systems

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Customer churn and segmentation Recommender Systems and Techniques Data Mining and Machine Learning Applications

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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2015Effective CRM Using Predictive Analytics

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2019Recommendations Based on Collective Intelligence – Case of Customer Segmentation 2020Machine Learning for Customer Segmentation Through Bibliometric Approach

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