Дослідження технологій рекомендацій для систем електронної комерції

Abstract

This study centers on examining recommender systems, evaluating current methodologies for constructing recommendations, and suggesting novel enhancements aimed at enhancing user satisfaction and fostering customer retention. Diverse recommendation methodologies are considered in this research. It offers an in-depth investigation into the present status of recommender systems and the obstacles and prospects they entail. The suggested enhancements aim to elevate recommender systems, rendering them more appealing compared to their current counterparts.