Online Product Recommendation Platform

An e-commerce company analyzes customer browsing history, clicks, and purchase patterns to recommend products. i) Explain how statistics and probability help in modeling user behavior. ii) Discuss the importance of training and testing datasets in this application. iii) Explain how the bias–variance tradeoff influences recommendation quality.