Analyzing Customer Behavior on Online Products Using Decision Tree Machine Learning

In today's industry and commerce, online reviews are crucial. The best indicators of success and failure in the world of e-commerce are reviews. Businesses with positive ratings receive a lot of free publicity online, and positive review pages appear first in search results. Online, fake reviews are commonplace. Online reviews that have been published by someone who hasn't really utilised the goods or service are known as phoney reviews. It can be challenging and unclear to predict customer behaviour. Thus, choosing the appropriate method and strategy is essential when creating consumer behaviour models. It is challenging to alter a prediction model once it has been created for marketing reasons in order to decide precisely what marketing activities to take for each consumer or group of customers. In this work, machine learning strategies for predicting customer behaviour on online products are studied.