H&M Personalized Fashion Recommendation | Machine Learning Project Proposal (Team 28) | Georgia Tech
Given the purchase history of customers along with metadata about both the product and the customer, our goal is to predict what products the customer will purchase in the time duration of 7 days right after the training data ends. The problem is a standard time series recommendation system problem with additional threads in NLP and CV.
Product recommendation is a very important problem in the e-commerce industry. Presenting customers with relevant recommendations not only makes for a good customer experience but also helps with the company’s revenue.