Abstract: In the highly competitive e-commerce landscape, personalized marketing strategies have become vital for customer retention and profitability. This study presents a comprehensive, data-driven ...

Abstract: Customer segmentation is a method that uses un- supervised machine learning to segment customers by common characteristics, behaviors, and wants. This technique enables companies to market ...

This project segments 9,999 high-value retail customers using RFM (Recency, Frequency, Monetary) methodology. The analysis identifies distinct customer groups and provides targeted business ...

Forbes contributors publish independent expert analyses and insights. Randy Bean is a noted Senior Advisor, Author, Speaker, Founder, & CEO. How does a venerable American brand known for creating the ...

School of Chemical Engineering and Light Industry, Guangdong University of Technology, Guangzhou, 510006, China ...

Until now, designing complex metamaterials with specific mechanical properties required large and costly experimental and simulation datasets. The method enables ...

transaction_gap Ratio of days since the last transaction to the customer's total tenure, indicating inactivity relative to account age. Measures customer engagement. A higher gap suggests the customer ...

Scientists are using machine learning to find new treatments among thousands of old medicines. Scientists are using machine learning to find new treatments among thousands of old medicines. Joseph ...

Reinforcement learning was tested as a means of improving liquid chromatography method development. KU Leuven and Vrije Universiteit Brussel researchers led efforts to improve deep reinforcement ...