Real Time, Contextual and Personalized Recommendations

Video description

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.

The talk features two main areas:

1. How to work with minimal data, implicit feedback and business to build recommender systems that satisfy users needs while keeping in mind overarching business KPIs

2. How to use real stream of events and past indications to give a completely personalized experience that can keep updating based on user interaction with minimal architectural requirements.

Table of contents

  1. Real Time, Contextual & Personalized Recommendations 00:29:41

Product information

  • Title: Real Time, Contextual and Personalized Recommendations
  • Author(s): Data Science Salon
  • Release date: March 2020
  • Publisher(s): Data Science Salon
  • ISBN: None