Big Data Analytics for Program Popularity Prediction in Broadcast TV Industries

Big Data Analytics for Program Popularity Prediction in Broadcast TV Industries

The precise and timely prediction of program popularity is of great value for content providers, advertisers, and broadcast TV operators. This information can be beneficial for operators in TV program purchasing decisions and can help advertisers formulate reasonable advertisement investment plans....

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Bibliographic Details
Main Authors: Chengang Zhu, Guang Cheng, Kun Wang
Format: Article
Language:English
Published: IEEE 2017-01-01
Series:IEEE Access
Subjects:
Broadcast TV
popularity prediction
dynamic time warping
random forests regression
gradient boosting decision tree
Online Access:https://ieeexplore.ieee.org/document/8086153/

Internet

https://ieeexplore.ieee.org/document/8086153/

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