UNDERSTANDING THE RECOMMENDER VALIDATION STEPS IN AN ITERATIVE DESIGN PROCESS

On the Internet, where the number of choices is overwhelming, it is necessary to filter, prioritize, and efficiently deliver relevant information in order to alleviate the problem of information overload, which has created a potential problem for many Internet users. Recommender systems solve this problem by searching a large amount of dynamically generated information to provide users with personalized content and services. This article explores the various features of recommender systems to serve as a compass for research and practice in the field of recommender systems.