Abstract: The paper’s objective is to utilize machine learning techniques for customer segmentation. We aim to identify significant patterns and segments within a customer base to enhance marketing ...
Abstract: The rapid growth and opportunities of Mobile Edge Computing (MEC) technology have transformed smart consumer electronics like smartphones and wearable devices that produce massive and ...
Abstract: This research explores the integration of machine learning into market segmentation, a strategy traditionally reliant on demographic, geographical, and psychographic traits. With the rise of ...
Abstract: In the rapidly evolving digital landscape, personalized recommendations have become essential for enhancing user experience. Machine learning models analyze user behavior patterns to suggest ...
In Algorithms for Machine Learning Before applying modern clustering algorithms, data was analyzed using rulebased grouping, eye scanning, manual computation of distances, and hierarchical sorting, ...
Nov 21 (Reuters) - Design software company Figma (FIG.N), opens new tab was hit with a proposed class action in California federal court on Friday for allegedly misusing its customers' designs to ...
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 ...
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