Which solution should the Specialist recommend?

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

Answer: C

Explanation:

Collaborative filtering is a machine learning technique that recommends products or services to users based on the ratings or preferences of other users. This technique is well-suited for identifying customer shopping patterns and preferences because it takes into account the interactions between users and products.

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