A Machine Learning Specialist receives customer data for an online shopping website. The data includes demographics, past visits, and locality information. The Specialist must develop a machine learning approach to identify the customer shopping patterns, preferences, and trends to enhance the website-for better service and smart recommendations. Which solution should the Specialist recommend?
A) Latent Dirichlet Allocation (LDA) for the given collection of discrete data to identify patterns in the customer database.
B) A neural network with a minimum of three layers and random initial weights to identify patterns in the customer database.
C) Collaborative filtering based on user interactions and correlations to identify patterns in the customer database.
D) Random Cut Forest (RCF) over random subsamples to identify patterns in the customer database.

Question

Quizplus · Accepted Answer

Collaborative filtering is well-suited for identifying customer shopping patterns and preferences based on user interactions and correlations, making it ideal for recommendation systems.

A Machine Learning Specialist Receives Customer Data for an Online