Comparison of online video(OTT) content production technology based on artificial intelligence customized recommendation service

doi:10.7236/JIIBC.2021.21.3.99

Paper

Comparison of online video(OTT) content production technology based on artificial intelligence customized recommendation service

Published 2021 · Sang-Hun Chun, Seoung-Jung Shin

The Journal of the Institute of Webcasting, Internet and Telecommunication

UNKNOWN SJR score

0

Citations

0

Influential Citations

Full textSemantic Scholar

Abstract

In addition to the OTT video production service represented by Nexflix and YouTube, a personalized recommendation system for content with artificial intelligence has become common. YouTube's personalized recommendation service system consists of two neural networks, one neural network consisting of a recommendation candidate generation model and the other consisting of a ranking network. Netflix's video recommendation system consists of two data classification systems, divided into content-based filtering and collaborative filtering. As the online platform-led content production is activated by the Corona Pandemic, the field of virtual influencers using artificial intelligence is emerging. Virtual influencers are produced with GAN (Generative Adversarial Networks) artificial intelligence, and are unsupervised learning algorithms in which two opposing systems compete with each other. This study also researched the possibility of developing AI platform based on individual recommendation and virtual influencer (metabus) as a core content of OTT in the future.

Study Snapshot

Artificial intelligence personalized recommendation systems in online video services like Netflix and YouTube are advancing, with virtual influencers emerging as a core content element in the future.

PopulationOlder adults (50-71 years)

Sample size24

MethodsObservational

OutcomesBody Mass Index projections

ResultsSocial networks mitigate obesity in older groups.

Sign up to use Study Snapshot

Consensus is limited without an account. Create an account or sign in to get more searches and use the Study Snapshot.

Create an account

Paper

Comparison of online video(OTT) content production technology based on artificial intelligence customized recommendation service

Sign up to use Study Snapshot

References

A Study on Veracity of Raw Data based on Value Creation - Focused on YouTube Monetization

Data integrity, specifically the veracity of raw data, significantly impacts the creation of value in big data, with invalid activities like raw data directly impacting revenue generation for YouTube.

Transforming business using digital innovations: the application of AI, blockchain, cloud and data analytics

AI, blockchain, cloud, and data analytics (ABCD) are converging technologies with wide-reaching applications in various vertical sectors, offering potential for future research and practical implications.

Deep Neural Networks for YouTube Recommendations

Deep learning significantly improves performance in YouTube recommendations, with a deep candidate generation model and deep ranking model.

The Effects of Perceived Value and Stress on Continuous Intention in SNS : Focused on the Moderating Effect of SNS Type

Insecurity and satisfaction positively impact continuous intention in SNS, with closed-type SNS having a stronger effect than open-type SNS on user satisfaction.

Citations