An overview of video recommender systems: state-of-the-art and research issues.

ABSTRACT: Video platforms have become indispensable components within a diverse range of applications, serving various purposes in entertainment, e-learning, corporate training, online documentation, and news provision. As the volume and complexity of video content continue to grow, the need for personalized access features becomes an inevitable requirement to ensure efficient content consumption. To address this need, recommender systems have emerged as helpful tools providing personalized video access. By leveraging past user-specific video consumption data and the preferences of similar users, these systems excel in recommending videos that are highly relevant to individual users. This article presents a comprehensive overview of the current state of video recommender systems (VRS), explor

SUBMITTER: Lubos S 

PROVIDER: S-EPMC10642507 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature