Video_Recommendation_Model | Cluster videos based on popularity and identify

by ssy20 Jupyter Notebook Version: Current License: No License

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kandi X-RAY | Video_Recommendation_Model Summary

Video_Recommendation_Model is a Jupyter Notebook library. Video_Recommendation_Model has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

Classify videos based on two dimensions: the daily percentage change of view counts and the average view counts. Using these two dimensions, the videos can be separated into 3 groups: the trending videos, the stable but popular videos, and everything else. The trending and popular videos are the candidate to be shown on the home page. Once all the videos are labeled, identify the main characteristics of the trending videos using decision tree.

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Support

Video_Recommendation_Model has a low active ecosystem.

It has 0 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

Video_Recommendation_Model has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Video_Recommendation_Model is current.

Quality

Video_Recommendation_Model has no bugs reported.

Security

Video_Recommendation_Model has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

Video_Recommendation_Model does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

Video_Recommendation_Model releases are not available. You will need to build from source code and install.

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Video_Recommendation_Model Key Features

No Key Features are available at this moment for Video_Recommendation_Model.

Video_Recommendation_Model Examples and Code Snippets

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Vulnerabilities

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Install Video_Recommendation_Model

You can download it from GitHub.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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