Research on Segmenting E-Commerce Customer through an Improved K-Medoids Clustering Algorithm
Sign Up to like & getrecommendations! Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/9930613
Abstract: In view of the shortcomings of traditional clustering algorithms in feature selection and clustering effect, an improved Recency, Frequency, and Money (RFM) model is introduced, and an improved K-medoids algorithm is proposed. Above model and… read more here.
Keywords: medoids algorithm; improved medoids; commerce customer; customer ... See more keywords
Multi-Label Classification of E-Commerce Customer Reviews via Machine Learning
Sign Up to like & getrecommendations! Published in 2022 at "Axioms"
DOI: 10.3390/axioms11090436
Abstract: The multi-label customer reviews classification task aims to identify the different thoughts of customers about the product they are purchasing. Due to the impact of the COVID-19 pandemic, customers have become more prone to shopping… read more here.
Keywords: customer reviews; classification; commerce customer; analysis ... See more keywords