Shows
How AI Is Built#018 Query Understanding: Doing The Work Before The Query Hits The DatabaseWelcome back to How AI Is Built. We have got a very special episode to kick off season two. Daniel Tunkelang is a search consultant currently working with Algolia. He is a leader in the field of information retrieval, recommender systems, and AI-powered search. He worked for Canva, Algolia, Cisco, Gartner, Handshake, to pick a few. His core focus is query understanding. **Query understanding is about focusing less on the results and more on the query.** The query of the user is the first-class citizen. It is about figuring out what the...
2024-08-1553 min
How AI Is BuiltFacets vs Filters | Grokking Search | Micro-lessonFacets let your users tune their search results.They are not filters.Filters eliminate search results.Facets give users the ability to reduce the search results.Facets allow the user in the frontend to limit the search results to a limited, more specific set. They are extremely valuable in combination with head queries (reference), which return a large number of results.Read more: https://nicolaygerold.substack.com/p/facets-vs-filters-grokking-search Further reading:Daniel Tunkelang. Facets of Faceted SearchElastic. Facets Guide.Elastic. Facets API Reference.Nielsen Norman Group. F...
2024-08-1304 min
How AI Is BuiltSeason 2 Trailer: Mastering SearchToday we are launching the season 2 of How AI Is Built.The last few weeks, we spoke to a lot of regular listeners and past guests and collected feedback. Analyzed our episode data. And we will be applying the learnings to season 2.This season will be all about search.We are trying to make it better, more actionable, and more in-depth. The goal is that at the end of this season, you have a full-fleshed course on search in podcast form, which mini-courses on specific elements like RAG.We will be...
2024-08-0804 min
Vector PodcastDaniel Tunkelang - Leading Search Consultant - Leveraging ML for query and content understandingTopics:00:00 Kick-off by Judy Zhu01:33 Introduction by Dmitry Kan and his bio!03:03 Daniel’s background04:46 “Science is the difference between instinct and strategy” 07:41 Search as a personal learning experience11:53 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 principle29:05 How content understanding can significantly improve your search engine experience32:02 Available datasets, tools and algori...
2022-05-231h 02
DevelomentorDaniel Tunkelang - The Founding Story of Endeca (edited)Daniel Tunkelang is currently an independent consultant or, in his words, a 'high-class consultant' for technology companies. Previous to this, he was a data science and engineering executive who has built and led some of the strongest teams in the software industry.Daniel studied computer science and math at MIT and has a PhD in computer science from CMU. He was a founding employee and chief scientist of Endeca, a search pioneer that Oracle acquired for $1.1B. He led a local search team at Google. Prior to this, he was a director of data science and engineering...
2021-03-0459 min
Unleashed - How to Thrive as an Independent Professional350. Daniel Tunkelang - In-depth Insight into Search Relevance & QueryDaniel Tunkelang, one of the top search relevance consultants in the United States. He is a data science and engineering executive who has built and led some of the strongest teams in the software industry, including Google. Daniel was a founding employee and chief scientist of Endeca, a search pioneer that Oracle acquired for $1.1B. He was also director of data science and engineering at LinkedIn, and he studied computer science and math at MIT and has a PhD in computer science from CMU. So when it comes to understanding how search engines work and search queries, Daniel knows...
2021-02-1151 min
DevelomentorDevelomentor Panel – Tech Hiring Tips From Employees and ManagersWelcome to our second panel on Develomentor. Today's topic is tech hiring as an employee and as a manager.Today's guests are:Aline Lerner – Aline is the founder and CEO of Interviewing.io, a hiring platform aimed at making interviewing and finding a job in tech way less painful. You heard her first on the show in episode 44 where she shared her career path from MIT computer science to being a professional chef to tech recruiting and software engineering. Daniel Tunkelang – Daniel is a computer scientist and early employee at Endec...
2020-11-101h 12
DevelomentorDaniel Tunkelang - Endeca, Search and Choosing to Freelance (#29)Welcome to another episode of Develomentor. Today's guest is Daniel Tunkelang. Daniel Tunkelang is currently an independent consultant or, in his words, a 'high-class consultant' for technology companies. Previous to this, he was a data science and engineering executive who has built and led some of the strongest teams in the software industry.Daniel studied computer science and math at MIT and has a PhD in computer science from CMU. He was a founding employee and chief scientist of Endeca, a search pioneer that Oracle acquired for $1.1B. He led a local search team at G...
2020-02-061h 00
O'Reilly Bots Podcast - O'Reilly Media PodcastWhat are bots? Here’s the background.O’Reilly Bots Podcast: Why AI-driven chatbots are a big deal right now.We’re launching a new pop-up podcast about bots. In this first episode of the O’Reilly Bots Podcast, I’m joined by Peter Skomoroch to talk background: why everyone is suddenly interested in bots and what they promise to do, and what sorts of applications are beginning to emerge.Bots have generated enormous interest in the last few months; Microsoft CEO Satya Nadella has even called bots "the new apps." Bots (not the robot kind) are bits of software that use artifici...
2016-08-1844 min