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Please update the talk description to:
Join us as we share Coursera’s experience of migrating to OpenSearch, impacting over 5 million monthly active users. In this presentation, we’ll cover the key decisions and challenges we encountered, including the integration of vector search capabilities, and our choice to leverage Coursera’s in-house ranking platform. We’ll also discuss how we conducted offline and online evaluation experiments to ensure a smooth transition and maintain search quality.
We’ll provide a detailed look at our approach to light and heavy ranking, as well as the load testing and performance tuning that were essential to optimizing our search infrastructure. Learn about the results of our migration efforts, including improvements in search accuracy, system performance, and user satisfaction. This session aims to offer practical insights and lessons learned for anyone interested in search technology and large-scale system migrations.
@kaimmej - Please help with adding this last co-presenter
pajuric
changed the title
Add co-presenter to OpenSearchCon session for Coursera
Add co-presenter & update talk description for Coursera session at OpenSearchCon NA
Sep 17, 2024
kaimmej
added a commit
to kaimmej/project-website
that referenced
this issue
Sep 17, 2024
opensearch-project#3314
Created Karan Singh as a community member and added his photo.
I added him as a copresenter to the Coursera Session for OpenSearchCon NA 2024.
I changed the description of the talk according to the requested issue.
Signed-off-by: kaimmej <[email protected]>
Please add update this OpenSearchCon session: https://opensearch.org/events/opensearchcon/sessions/enabling-a-scalable-ml-driven-search-experience-at-coursera.html
Please update the talk description to:
Join us as we share Coursera’s experience of migrating to OpenSearch, impacting over 5 million monthly active users. In this presentation, we’ll cover the key decisions and challenges we encountered, including the integration of vector search capabilities, and our choice to leverage Coursera’s in-house ranking platform. We’ll also discuss how we conducted offline and online evaluation experiments to ensure a smooth transition and maintain search quality.
We’ll provide a detailed look at our approach to light and heavy ranking, as well as the load testing and performance tuning that were essential to optimizing our search infrastructure. Learn about the results of our migration efforts, including improvements in search accuracy, system performance, and user satisfaction. This session aims to offer practical insights and lessons learned for anyone interested in search technology and large-scale system migrations.
Add co-presenter:
Name: Karan Singh
Email - [email protected]
Title - Senior Software Developer
Bio - https://www.linkedin.com/in/karanyyz/:
Karan Singh is a Senior Backend Software Engineer at Coursera.
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