Open AccessRECOMMENDER SYSTEMS: AN OVERVIEW
Author(s) -
Alisher Rustamov,
Fayzi Bekkamov
Publication year - 2021
Publication title -
scientific reports of bukhara state university
Language(s) - English
Resource type - Journals
ISSN - 2181-1466
DOI - 10.52297/2181-1466/2021/5/3/1
Subject(s) - recommender system , collaborative filtering , computer science , key (lock) , set (abstract data type) , the internet , world wide web , data science , information retrieval , computer security , programming language
Background. In this article, we look at the key advances in collaborative filtering recommender systems, focusing on the evolution from research focused solely on algorithms to research focused on the broad set of issues surrounding user experience with the recommender. The Internet provides a huge a