РЕКОМЕНДАТЕЛЬНАЯ СИСТЕМА ДЛЯ ОНЛАЙН-МАГАЗИНОВ С ИСПОЛЬЗОВАНИЕМ МАШИННОГО ОБУЧЕНИЯ

Abstract

Recommender systems can be singled out among the latest trends in Internet marketing. Recommender systems are special applications focused on predicting the interests and needs of potential customers of online stores, which are convenient tools for choosing when buying goods and services in online stores. It is fundamentally important that recommendation services are
useful and convenient for both the user and the online store. The user, first of all, has the convenience and intuitiveness of the choice. At the same time, the store opens up such opportunities as increasing the average check and revenue per visit, alternative navigation in the entire variety of products and a source of customer information. Today, modern recommendation services increase the content of online shopping carts by 12-60%, which usually depends on the profile of the product.