An ecommerce company wants to group customers based on their purchase history and preferences to personalize the user experience of the company's application. Which ML technique should the company…

The correct answer is B. Clustering. Clustering is an unsupervised learning technique that automatically groups data points - in this case, customers with similar purchase histories and preferences - into segments without needing predefined labels, enabling personalized experiences.

Submitted by kwame.gh· Mar 30, 2026Fundamentals of AI and ML

Question

An ecommerce company wants to group customers based on their purchase history and preferences to personalize the user experience of the company's application. Which ML technique should the company use?

Options

AClassification
BClustering
CRegression
DContent generation

How the community answered

(34 responses)

A
3% (1)
B
85% (29)
C
6% (2)
D
6% (2)

Explanation

Clustering is an unsupervised learning technique that automatically groups data points - in this case, customers with similar purchase histories and preferences - into segments without needing predefined labels, enabling personalized experiences.

Topics

#clustering#customer segmentation#unsupervised learning#ML techniques

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