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Setting Up Machine Learning Part 2

Presented by:

Liudmila Mkhitarova

Customer Success Manager

Lipika Brahma

Customer Success Architect

There’s no denying it, 2021 is the year to step up. Delivering intelligent digital experiences using search, data and AI is imperative. We live in a time where relevance is the expectation and no longer just a nice-to-have. Is this new to you? Or… is this something you know you can already solve with Coveo Machine learning? Join us to learn how.

Join us for Part 2 of our Learning Series where we’ll talk about how to further optimize your Coveo Machine Learning models. In this webinar, we will show you how active ART and QS Machine Learning Models look like and take a deeper dive into the analytics that can be derived from it. You will learn how to:

  • Create personalized experiences for your users through Context
  • Understand Machine Learning effectiveness for your organization using templated Coveo reports
  • Evaluate the performance of queries and query pipeline changes using the Machine Learning Query Suggest and Detailed Summary Usage Analytics report templates

If you missed Part 1, we covered how to activate and test Query Suggest (QS) and Automatic Relevance Tuning (ART) machine learning models enabled in your Coveo platform. You can see the recording here.