Recommender Systems in e-Commerce

With the rapid development of e-commerce, more and more users have poured into e-commerce platforms. In order to provide users with a better shopping experience, e-commerce platforms often recommend products they may like or need. A recommendation system is a kind of system that can recommend products that may be satisfactory to users by collecting and analyzing user product data. In this way, the match between goods and consumers can be established. The recommendation system plays an important role in the e-commerce platform. In this article, starting from the recommendation system itself, it will explain what a recommendation system is and its goals; how to evaluate the pros and cons of a recommendation system, that is, the metrics of its performance; the types of mainstream recommender systems are analyzed by combining with e-commerce platforms Their respective advantages and disadvantages. Their respective advantages and disadvantages; finally analyze the possible development direction of the recommendation system in the future. And the recommender system in e-commerce will be described through the above four aspects.