linkedin/performance-quality-models
Personalizing Performance model repository
This project helps web and mobile application developers dynamically improve user experience by predicting how fast a page will load for a specific user. It takes device and network characteristics as input and outputs a prediction of whether the page load time will be 'good' or 'poor'. Application engineers can then use this information to adjust content quality, like image resolution or video autoplay, in real-time.
No commits in the last 6 months.
Use this if you want to proactively optimize your web or mobile application's performance for individual users based on their network and device conditions.
Not ideal if you only need network-specific measurements, as this tool provides a broader prediction of overall page load performance.
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31
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Language
Jupyter Notebook
License
BSD-2-Clause
Category
Last pushed
Nov 21, 2022
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