Work

Collective clustering of marketing data—recommendation system Upsaily

Year: 2018

Type: conference-paper

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.

Source: Annals of Computer Science and Information Systems

DOI: 10.15439/2018f217

Authors: Maciej Pondel, Jerzy Korczak

Institutions: Wroclaw University of Economics and Business, International University of Logistics and Transport in Wrocław

Language: English

Topic: Customer churn and segmentation

Subfield: Marketing

Field: Business, Management and Accounting

Domain: Social Sciences

Open Access status: diamond

OpenAlex ID: W2893639253

FWCI: 5.168

Cites: 44

Cited by: 12

Related to: 10