Topics:

00:00 Kick-off by Judy Zhu

01:33 Introduction by Dmitry Kan and his bio!

03:03 Daniel’s background

04:46 “Science is the difference between instinct and strategy”

07:41 Search as a personal learning experience

11:53 Why do we need Machine Learning in Search, or can we use manually curated features?

16:47 Swimming up-stream from relevancy: query / content understanding and where to start?

23:49 Rule-based vs Machine Learning approaches to Query Understanding: Pareto principle

29:05 How content understanding can significantly improve your search engine experience

32:02 Available datasets, tools and algorithms to train models for content understanding

38:20 Daniel’s take on the role of vector search in modern search engine design as the path to language of users

45:17 Mystical question of WHY: what drives Daniel in the search space today

49:50 Announcements from Daniel

51:15 Questions from the audience

Show notes:

[What is Content Understanding?. Content understanding is the foundation… | by Daniel Tunkelang | Content Understanding | Medium](https://medium.com/content-understanding/what-is-content-understanding-4da20e925974)

[Query Understanding: An Introduction | by Daniel Tunkelang | Query Understanding](https://queryunderstanding.com/introduction-c98740502103)

Books:

Modern Information Retrieval: The Concepts and Technology Behind Search, by Ricardo Baeza-Yates: https://www.amazon.com/Modern-Information-Retrieval-Concepts-Technology/dp/0321416910/ref=sr11?qid=1653144684&refinements=p_27%3ARicardo+Baeza-Yates&s=books&sr=1-1

Introduction to Information Retrieval, by Chris Manning: https://www.amazon.com/Introduction-Information-Retrieval-Christopher-Manning/dp/0521865719/ref=sr1fkmr0_1?crid=2GIR19OTZ8QFJ&keywords=chris+manning+information+retrieval&qid=1653144967&s=books&sprefix=chris+manning+information+retrieval%2Cstripbooks-intl-ship%2C141&sr=1-1-fkmr0

Recapitalization and Microsoft Partnership

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