Open AccessFeatures of YouTube’s recommendation algorithms on the example of a channel about esports
Author(s) -
Oleksandr Petryk
Publication year - 2021
Publication title -
obraz
Language(s) - English
Resource type - Journals
ISSN - 2415-8496
DOI - 10.21272/obraz.2021.1(35)-84-100
Subject(s) - upload , computer science , novelty , thumbnail , channel (broadcasting) , selection (genetic algorithm) , attractiveness , relevance (law) , multimedia , information retrieval , world wide web , image (mathematics) , artificial intelligence , telecommunications , psychology , philosophy , theology , political science , psychoanalysis , law
The purpose of the study is to identify relevant effective strategies for interaction with the recommendation algorithm on the YouTube platform in the process of creating and distributing video content. The topic of the study is relevant because YouTube is an active global platform for the distribution of video content. YouTube is the most visited video viewing platform in Ukraine and one of the most visited websites in the world. Understanding the work of recommendation algorithms will allow you to adapt video content so that it reaches the widest possible target audience. The result of the study was the selection of the most effective parameters of videos on YouTube based on the analysis of statistical indicators on the PETR1K channel: relevance and novelty, attractiveness (clickability) of thumbnail images, frequency of uploads to the channel, viewers ‘reaction to previous videos, viewers’ returns, audience retention and more.