You are developing a customer recommendation system for a department store's e-commerce site. Which of the following tools will provide the most accurate recommendations?
A)Genetic algorithms
B)Fuzzy logic
C)Location analytics
D)Big data analytics

Question

Quizplus · Accepted Answer

Big data analytics is the most suitable tool for developing a customer recommendation system for a department store's e-commerce site. Big data analytics can collect and analyze large amounts of data about the customer's preferences, past purchases, browsing history, and behavior. This tool can provide accurate recommendations based on the customer's specific needs and interests, improving the customer experience and increasing sales for the department store. Genetic algorithms and fuzzy logic may also be useful for recommendation systems, but big data analytics is the best choice for this case. Location analytics is not directly related to customer recommendations but may be useful for other applications, such as site selection and marketing campaigns.

You Are Developing a Customer Recommendation System for a Department