Artificial Intelligence-Based Approaches for Product Recommendation in E-Commerce
Sumitra Samal, Kaveri Kar, Shraddha Taunk, Jyoti Prakash Patra · Advances in electronic commerce (AEC) book series/Advances in electronic commerce series · 2022
Today's e-commerce is completely dependent on artificial intelligence. Whatever technology was used in the ancient days, there was a huge gap between a customer and a seller. From a seller's point of view, he wanted to sell the maximum product and a customer had to purchase the product whose price was lowest in the market but best in quality. In this situation, we need a system that can automatically recommend a suitable product to the customer so that we can buy his goods easily and at a low price. For this, artificial intelligence is the best method. Artificial intelligence recommendation system is a combination of machine learning algorithms that are used by developers to help users predict their choices and get related suggestions.Through this chapter, the authors show the different processes and uses of artificial intelligence that help the user for an accurate recommendation of a product such as search queries, past purchases, items placed in the shopping cart, viewing history, and the location of the customer or buyer.