Byron Voorbach - From keyword to vector

(25:4)

#Haystack: Jettro Coenradie \u0026 Byron Voorbach - Top 10 Lessons learned in search projects

(43:4)

Learning to rank search results - Byron Voorbach \u0026 Jettro Coenradie [DevCon 2018]

(54:11)

J-Fall 2018: Jettro Coenradie \u0026 Byron Voorbach - Learning to rank search results

(47:20)

Bol.com journey to ElasticSearch - Byron Voorbach \u0026 Maarten Roosendaal [Luminis DevCon 2017]

(1:3:32)

Webinar: Amazon OpenSearch

(1:43:43)

Unbiased Learning to Rank: Counterfactual and Online Approaches - The Web Conference 2020 Tutorial

(3:51:9)

[CVPR20 Tutorial] Billion-scale Approximate Nearest Neighbor Search

(47:36)

Serving a Billion Personalized News Feeds

(39:50)

Embeddings for Everything: Search in the Neural Network Era

(1:18:23)

Conversion Models: Building Learning to Rank Training Data - Doug Turnbull, OpenSource Connections

(47:54)

Neural Learning To Rank by Bhaskar Mitra (Guest lecture at Emory University; host: Surya Kallumadi)

(1:37:1econd)

TF-Ranking: Learning-to-Rank in Tensorflow - Michael Bendersky

(27:39)

How to Evaluate Ranking Algorithm Performance | Nancy Cheng | Ranking Engineer at Meta

(27:24)

Ranking Loss, Contrastive Loss, Margin Loss, Triplet Loss and all those confusing names

(10:43)

Search War: Elasticsearch Vs OpenSearch

(11:37)

How to Build an AI Native Foundation for Enterprise Apps

(1:4:38)

Live PS4-uitzending van Byronvoorbach

(8:15)

Apeldoorn JUG online Java Meetup 12 mei 2021 Exploring the world of AWS Search — OpenDistro

(48:18)