Cheat at Search Essentials: Evaluation, NDCG, and pals
Hosted by Doug Turnbull
Fri, Oct 3, 2025
4:30 PM UTC (45 minutes)
Virtual (Zoom)
Free to join
Go deeper with a course


Fri, Oct 3, 2025
4:30 PM UTC (45 minutes)
Virtual (Zoom)
Free to join
55 students
Go deeper with a course


What you'll learn
Basics of search relevance evaluation
Where practice diverges from theory
Pros / cons of different types of labeled relevance data
Why this topic matters
You'll learn from
Doug Turnbull
Ex-Reddit, Ex-Shopify. Author: AI Powered Search+Relevant Search
Doug Turnbull is an expert in search technology and relevance engineering, currently serving as Principal Engineer at Daydream, where he builds hybrid search systems combining lexical and vector retrieval, and develops LLM-driven quality programs for e-commerce search. Previously, he led machine-learning-driven search initiatives at Reddit, significantly improving search relevance through Learning to Rank methods. Doug also advanced e-commerce search at Shopify and served as CTO at OpenSource Connections. He co-authored the influential book Relevant Search (Manning, 2016) and created popular open-source tools, including Quepid and the Elasticsearch Learning to Rank plugin. He regularly speaks at industry conferences, making search relevance accessible to engineers.
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