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InfoQ Homepage Presentations From Spark to Elasticsearch and Back - Learning Large-Scale Models for Content Recommendation

From Spark to Elasticsearch and Back - Learning Large-Scale Models for Content Recommendation

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Summary

Sonya Liberman shares an algorithmic architecture that enables running complex models under difficult scale constraints and shortens the cycle between research and production.

Bio

Sonya Liberman leads the Personalization team @ Outbrain’s Recommendations group, developing large-scale machine learning algorithms for Outbrain’s content recommendations platform serving tens of billions real-time recommendations a day. She specializes in Information Retrieval, Machine Learning, and Computational Linguistics.

About the conference

Big Data Conference Europe is a three-day conference with technical talks in the fields of Big Data, High Load, Data Science, Machine Learning and AI.

Recorded at:

Mar 14, 2020

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