A two-stage deep graph clustering method for identifying the evolutionary patterns of the time series of animation view counts
D He, Z Tang, Q Chen, Z Han, D Zhao, F Sun - Information Sciences, 2023 - Elsevier
Time-series clustering of view counts with changes in online time can identify animated
series with similar evolutionary count patterns over time, which may help companies reduce …
series with similar evolutionary count patterns over time, which may help companies reduce …
TV shows popularity prediction of genre-independent TV series through machine learning-based approaches
ME Cammarano, A Guarino, D Malandrino… - Multimedia Tools and …, 2024 - Springer
The use of social media has grown exponentially in recent years up to become a reflection
of human social attitudes and to represent today the main channel for conducting …
of human social attitudes and to represent today the main channel for conducting …
[PDF][PDF] Predicting television programs success using machine learning techniques.
K El Fayq, S Tkatek, L Idouglid - International Journal of Electrical …, 2024 - researchgate.net
In the ever-evolving media landscape, television (TV) remains a coveted platform,
compelling industry players to innovate amid intense competition. This study focuses on …
compelling industry players to innovate amid intense competition. This study focuses on …
[PDF][PDF] TÜRK TELEVİZYON RATİNGLERİNİN YAPAY ZEKA İLE TAHMİN EDİLMESİ
G GÜNEY, D KAPLAN - academia.edu
TÜRK TELEVİZYON RATİNGLERİNİN YAPAY ZEKA İLE TAHMİN EDİLMESİ Page 1 İBN
HALDUN ÜNİVERSİTESİ LİSANSÜSTÜ EĞİTİM ENSTİTÜSÜ İŞLETME ANABİLİM DALI …
HALDUN ÜNİVERSİTESİ LİSANSÜSTÜ EĞİTİM ENSTİTÜSÜ İŞLETME ANABİLİM DALI …