Real time, contextual and personalized recommendations /

"Presented by Dhivya Rajprasad, Data Scientist at Levi Strauss & Co. Levi Strauss and Co has always been at the helm of innovation with their classic denims and seasonal takes on the future of denim . We would like to enable users who visit our website, receive our emails and visit our stor...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Formato: Electrónico Video
Idioma:Inglés
Publicado: [Seattle, Washington] : Data Science Salon, 2020.
Temas:
Levi Strauss and Company.
Consumers' preferences > Mathematical models.
Electronic commerce.
Consumer behavior.
Machine learning.
Consommateurs > Préférences > Modèles mathématiques.
Commerce électronique.
Consommateurs > Comportement.
Apprentissage automatique.
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)

MARC

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520 |a "Presented by Dhivya Rajprasad, Data Scientist at Levi Strauss & Co. Levi Strauss and Co has always been at the helm of innovation with their classic denims and seasonal takes on the future of denim . We would like to enable users who visit our website, receive our emails and visit our stores to have the most personalized experience with easier product discovery. To enable this, I have built recommendation systems based on live and past user behavior and with minimal infrastructure."--Resource description page 
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650 0 |a Consumer behavior. 
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650 6 |a Commerce électronique. 
650 6 |a Consommateurs  |x Comportement. 
650 6 |a Apprentissage automatique. 
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650 7 |a Electronic commerce.  |2 fast  |0 (OCoLC)fst00906906 
650 7 |a Machine learning.  |2 fast  |0 (OCoLC)fst01004795 
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