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) CBR
E) Big data analytics

Question

Quizplus · Accepted Answer

Big data analytics is the best choice for developing a customer recommendation system for a department store's e-commerce site. This is because big data analytics can process and analyze large amounts of data about customer behavior and preferences, which can be used to generate accurate and personalized recommendations for each individual customer. This approach is also useful for identifying patterns and trends in customer behavior, which can inform marketing strategies and product development decisions. Other tools listed such as genetic algorithms, fuzzy logic, location analytics, and CBR may be useful in other contexts, but are not ideal for developing a customer recommendation system.

You Are Developing a Customer Recommendation System for a Department