Collective clustering of marketing data— recommendation system Upsaily
Maciej Pondel , Jerzy Korczak
AbstractAbstract—The article discusses the importance of the recom- mendation 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
|Publication size in sheets||0.5|
|Book||Ganzha Maria, Maciaszek Leszek, Paprzycki Marcin (eds.): Proceedings of the 2018 Federated Conference on Computer Science and Information Systems, Annals of Computer Science and Information Systems, vol. 15, 2018, Polskie Towarzystwo Informatyczne, ISBN 9788394941956, [9788394941963, 9788394941970], 1089 p., DOI:10.15439/978-83-949419-5-6|
|Score||= 15.0, 02-07-2019, ChapterFromConference|
|Citation count*||3 (2020-01-12)|
* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.