Hybrid machine learning approach for popularity prediction of newly released contents of online video streaming services
Bibliographic Data
| ID | 21404499 |
|---|---|
| Authors | Hongjun 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) |
| Year | 2020 |
| Volume | 161 |
| Pages | 120303 |
| Publication date | 2020-12-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Technological Forecasting and Social Change (JOURNAL) |
| Journal identifiers | ISSN: 0040-1625 • E-ISSN: 1873-5509 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.techfore.2020.120303 |
| OpenAlex | W3108240310 |
| Language | EN |
| Citations received | 4 |
| References cited | 8 |
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
| Unique citing works | 4 |
|---|---|
| Citations per year | 1.33 |
| Citation span | 2023 - 2026 (4) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 3 |