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Hybrid machine learning approach for popularity prediction of newly released contents of online video streaming services

Bibliographic Data

ID21404499
AuthorsHongjun Jeon (0000-0001-5153-5118, Gachon University), Wonchul Seo (0000-0003-2247-0399, Pukyong National University), Eunjeong Park (0000-0002-8919-3165), Eunjeong L Park (0000-0003-1117-894X, Naver (South Korea), corresponding author), Sungchul Choi (0000-0002-5836-3838, Gachon University, corresponding author)
Year2020
Volume161
Pages120303
Publication date2020-12-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueTechnological Forecasting and Social Change (JOURNAL)
Journal identifiersISSN: 0040-1625 • E-ISSN: 1873-5509
PublisherElsevier BV (PUBLISHER)
DOI10.1016/j.techfore.2020.120303
OpenAlexW3108240310
LanguageEN
Citations received4
References cited8

Artificial neural network · Categorical variable · IPTV · Machine learning · Multimedia · Online video · Popularity · Server · Service (business) · Service provider · World Wide Web · Artificial Intelligence · Caching and Content Delivery · Complex Network Analysis Techniques · Computer Science · Image and Video Quality Assessment

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Unique citing works4
Citations per year1.33
Citation span2023 - 2026 (4)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 3

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