A user-portraits-based recommendation algorithm for traditional short video industry and security management of user privacy in social networks
Bibliographic Data
| ID | 21402029 |
|---|---|
| Authors | Ruomu Miao (0000-0001-9618-709X, Shanghai Jiao Tong University), Benqian Li (0000-0002-7261-3506, Shanghai Jiao Tong University, corresponding author) |
| Year | 2022 |
| Volume | 185 |
| Pages | 122103 |
| Publication date | 2022-12-01 |
| 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.2022.122103 |
| OpenAlex | W4307897774 |
| Language | EN |
| Citations received | 1 |
| References cited | 26 |
Computer security · Human–computer interaction · Mainstream · Portrait · Process (computing) · User satisfaction · Computer Science · Impact of Technology on Adolescents · Privacy, Security, and Data Protection · Sexuality, Behavior, and Technology
Social Media and Well-Being
PositiveEnergy Douyin
What does it take to survive in a digital world? Resource-based theory and strategic change in the TV industry
Welfare and fairness in free-to-play video games
Technology-enabled personalization
How online video platforms could support China’s independent microfilm (short film) makers and enhance the Chinese film industry
Reppin’ the nation, reppin’ themselves
| Unique citing works | 1 |
|---|---|
| Citations per year | 0.5 |
| Citation span | 2024 - 2024 (1) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 1 |