Improving upsell by clustering customers’ orders: machine learning approach
Автор: Filipyev Andrey
Журнал: Сетевое научное издание «Системный анализ в науке и образовании» @journal-sanse
Статья в выпуске: 3, 2018 года.
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This article aims to test the hypothesis that the use of machine learning algorithms better builds personal communication with consumers than does expert opinion regarding this question. Clustering and classification algorithms were applied in order to segment the dataset of clients. New sequences for offering to clients additional products based on joining segmentation and expert opinion have revealed the advantages of this approach.
Up-sell, clustering, classification, cosine similarity, spectral clustering
Короткий адрес: https://sciup.org/14122671
IDR: 14122671
Список литературы Improving upsell by clustering customers’ orders: machine learning approach
- Machine Learning. - [Electronic resource]. URL: https://en.wikipedia.org/wiki/Machine_learning.
- Statistical classification. - [Electronic resource]. URL: https://en.wikipedia.org/wiki/Statistical_classification.
- Filipyev A. Cluster analysis of customers behavior. // Системный анализ в науке и образовании: сетевое научное издание. - 2018. - №2. - [Электронный ресурс]. URL: http://sanse.ru/download/318.
- Euclidean distance. - [Electronic resource]. URL: https://en.wikipedia.org/wiki/Euclidean_distance.
- Comparing different clustering algorithms on toy datasets. - [Electronic resource]. URL: http://scikit-learn.org/stable/auto_examples/cluster/plot_cluster_comparison.html#sphx-glr-auto-examples-cluster-plot-cluster-comparison-py.
- Spectral clustering. - [Electronic resource]. URL: https://en.wikipedia.org/wiki/Spectral_clustering.
- Spectral Clustering. - [Electronic Resource]. URL: http://scikit-learn.org/stable/modules/generated/ sklearn.cluster.SpectralClustering.html.
- U. Von Luxburg, "A Tutorial on Spectral Clustering", Statistics 550 Xiucai Ye and Tetsuya Sakurai ETRI Journal. - 2016. - Vol. 38. - №3. - [Electronic resource]. URL:.
- DOI: 10.4218/etrij.16.0115.0517
- Gradient Boosting Machines, A Tutorial. - [Electronic resource]. URL: https://www.researchgate.net/publication/259653472_Gradient_Boosting_Machines_A_Tutorial.
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