RECOMMENDATION FOR E-COMMERCE SYSTEMS

Abstract

Recommender Systems is an artificial intelligence technology that is studied for delivering automated recommendations to users or customers. It relies on past behavior data of users to guide customers in locating the products they like, helping customers make good decisions when shopping online. This project introduces a number of suggestion techniques, generally evaluates the advantages and disadvantages of each technique, and shows the effects of the recommendation system on e-commerce. From there, proposing a number of solutions to promote Vietnamese enterprises to effectively apply in commercial websites to improve service quality, increase competitiveness, increase order value and increase sales.