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Predictive Prefetching for the Web
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Minko Gechev
November 11, 2019
Programming
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Predictive Prefetching for the Web
Minko Gechev
November 11, 2019
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Transcript
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Minko Gechev @mgechev Predictive Prefetching for the Web for better
user experience
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Prefetching for speeding up navigation faster Web and fewer rage
clicks
⚡ Prefetching Navigation
Prefetching strategies • Prefetch all • Visible links • On
mouse over • Predictive prefetching
Web app with instant transitions Application usage report Data analytics/ML
model How predictive prefetching works
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github.com/guess-js
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Naveed Ahmed
Search and Find Latest Jobs in Pakistan mustakbil.com
Search and Find Latest Jobs in Pakistan mustakbil.com
None
Prefetching data consumption one user at the home page 2.56MB
Prefetch all modules 100% 1.22MB Prefetch visibile links 48% 0.18MB Predictive prefetching 7%
90% for users on fast 3G prefetching accuracy >
Additional optimizations implemented by Guess.js Adapts to the connection speed
Prefetches by likelihood Calculates likelihood at build time Does not block the main thread
Using Guess.js
Predictive Prefetching for the Web Speeds up page navigation Increases
user satisfaction Support for popular frameworks Reduces data usage
web.dev/link-prefetch web.dev/predictive-prefetching
Thank you! Minko Gechev @mgechev