RECOMMENDER SYSTEMS BASED ON DEEP LEARNING

Autor: Xushbaqov Sherzod, Khamraev Mansur, Bakhtiyorova Mokhiruy
Rok vydání: 2022
DOI: 10.5281/zenodo.6473944
Popis: In this article, we describe deep learning-based recommender systems. First, we introduce deep learning in content-based recommender systems. Then, the details of deep learning-based collaborative filtering recommender systems are provided. Next, we present deep learning-based hybrid recommender systems and deep learning in social network-based recommender systems. Finally, we describe deep learning in contextaware recommender systems.
Databáze: OpenAIRE