Real-time, Contextual and Personalized Recommendations


Apr 10, 10:00 AM PDT
  • Virtual AICamp
  • 172 RSVPs
Description
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 would feature two main areas:
  • 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
  • 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..

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