Open AccessANALYSIS OF TECHNOLOGIES FOR PERSONALIZED CONTENT RECOMMENDATIONS ON THE INTERNET
Author(s) -
O. Lopakov,
L. Prokopovych,
D. Solodkyi
Publication year - 2022
Publication title -
trudy odesskogo politehničeskogo universiteta
Language(s) - English
Resource type - Journals
eISSN - 2223-3814
pISSN - 2076-2429
DOI - 10.15276/opu.1.65.2022.10
Subject(s) - personalization , computer science , relevance (law) , the internet , ranking (information retrieval) , process (computing) , emerging technologies , social media , internet privacy , field (mathematics) , order (exchange) , world wide web , data science , business , mathematics , finance , machine learning , artificial intelligence , political science , pure mathematics , law , operating system