AI for a faster web
Financiado
An automatic approach for creating faster websites using HTTP 2 machine learnin...
Website speed is the key to success for e-commerce websites. A fast website creates a better user experience, improves Google ranking, and most importantly, it increases conversion. Slow websites cost millions of dollars a year in...
Website speed is the key to success for e-commerce websites. A fast website creates a better user experience, improves Google ranking, and most importantly, it increases conversion. Slow websites cost millions of dollars a year in lost sales, and therefore this is a pressing problem on a growing market that call for efficient solutions.
As web usage and online commerce has exploded, we have moved from simple static websites to fully interactive and complex websites, introducing new challenges for creating fast websites. For example, loading a website is more re- source intensive, websites are loaded using smartphones in wireless networks, and website visitors are spread globally. To address these new challenges of the web, a new communication protocol, HTTP/2, was released in 2015. The new protocol does not require any changes to existing websites, and by default it provides a more efficient loading of resources, creates more mobile-friendly sites, and improves Google rank. The new protocol also introduces new features that software can take advantage of to substantially increase website speed.
However, most of the HTTP/2 features are not straightforward to apply and need to be actively configured, and no standards or guidelines exist to inform developers on optimal usage. This leave the problem for the developers to do manual tuning, which is both cumbersome and might demand changes every time the website is updated. Since the features can lead to substantial speed improvements, the challenge of adopting them has introduced a major business opportunity:
- To offer a product that can utilize the features of HTTP/2 to help online businesses create faster websites automatically
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Duración del proyecto: 6 meses
Fecha Inicio: 2019-05-11
Fecha Fin: 2019-11-30
Fecha Fin: 2019-11-30
Línea de financiación: concedida
El organismo H2020 notifico la concesión del proyecto el día 2019-11-30
Línea de financiación objetivo
El proyecto se financió a través de la siguiente ayuda:
EIC-SMEInst-2018-2020:
SME instrument
Cerrada
hace 6 años
Presupuesto
El presupuesto total del proyecto asciende a
71K€
Líder del proyecto
SHIMMERCAT AB
No se ha especificado una descripción o un objeto social para esta compañía.
Perfil tecnológico
TRL
4-5
Perfil tecnológico
TRL
4-5
482.54K€ |
Participante