Q34Fundamentals of AI and ML
An ecommerce company wants to group customers according to their purchase history and preferences in order to personalize the user experience in the company’s application. Which ML technique should the company use?
← → navigate · a answer
Community votes
Discussion · 2
B 4
Clustering is an unsupervised machine learning technique used to:
Group similar items (in this case, customers) based on their features (e.g., purchase history, preferences)
Find patterns or segments within data without using labeled outputs
This technique is ideal for personalization use cases like:
Customer segmentation
Targeted marketing
Product recommendations
B 2
Clustering algorithms, such as K-means, DBSCAN, and others, are widely used for customer segmentation. These unsupervised learning methods group customers into clusters based on similarities in their data (e.g., purchase behavior, preferences). This enables personalized marketing and user experience customization.