Past Talks
Browse the collection of talks from previous Haystack conferences

Personalized Search - Building a prototype to infer the user's interest
Tom Burgmans • Haystack 2022

Learning a Joint Embedding Representation for Image Search using Self Supervised Means
Sujit Pal • Haystack 2022

An approach to modelling implicit user feedback for optimising e-commerce search
René Kriegler • Haystack 2022

Engagement DCG vs Subject Matter Expert DCG - Evaluating the Wisdom of the Crowd
Doug Rosenoff • Haystack 2022

Beyond precision and recall – ensuring 'aboutness' in topical classification using confidence scores
Mark Shewhart and Sophie Lagace and Kimberly Hoffbauer • Haystack 2022
Big Vector Search - The Billion-Scale Approximate Nearest Neighbor Challenge
George Williams • Haystack 2022
OpenSearch - Ecommerce Search & Discovery Platform- Powered by querqy
Anirudha Jadhav and Pratik Shenoy and Dr. Johannes Peter • Haystack 2022

Script Scores and back again - A tale of merchandising algorithms in Elasticsearch
Nate Day • Haystack 2021

Learning to Boost - Logistic Regression to Optimize Elasticsearch Boosts
Nina Xu and Jenna Bellassai • Haystack 2021

What Do They Want? Optimizing Search When Users Enter Broad Terms
Lisa Kowalkowski • Haystack LIVE! 2020

How to start climbing the Relevance Mountain - and make sure you can keep climbing!
Anthony Groves • Haystack LIVE! 2020

Question Answering as Search - the Anserini Pipeline and Other Stories
Sujit Pal • Haystack LIVE! 2020

Context sensitive autocomplete suggestions using LSTM and Pair-wise learning
Dileep Kumar Patchigolla • Haystack LIVE! 2020

How to Build your Training Set for a Learning to Rank Project
Alessandro Benedetti • Haystack LIVE! 2020

Click logs and insights - Putting the search experts in your audience to work
Peter Dixon-Moses • Haystack/MICES/Berlin Buzzwords 2020

Top 10 Lessons learned in search projects the past 10 years
Jettro Coenradie • Haystack/MICES/Berlin Buzzwords 2020

Thought Vectors, Knowledge Graphs, and Curious Death(?) of Keyword Search
Trey Grainger • Haystack/MICES/Berlin Buzzwords 2020

Not all those who browse are lost - few-shot and zero-shot personalization for digital commerce using deep architectures.
Jacopo Tagliabue • Haystack/MICES/Berlin Buzzwords 2020

Improving precision of e-commerce search results to generate value for customers and business
Jens Kürsten • Haystack EU 2019

Search to Search recommendations (Collaborative Synonym and Spell corrections)
Sadat Anwar • Haystack EU 2019

How to Kill Two Birds with One Stone: Learning to Rank with Multiple Objectives
Alexey Kurennoy • Haystack EU 2019

Architectural considerations on search relevancy in the context of e-commerce
Johannes Peter • Haystack 2019

Embracing Diversity: Searching over Multiple Languages
Suneel Marthi & Jeff Zemerick • Haystack 2018

Making the case for human judgement relevance testing
Tara Diedrichsen and Tito Sierra • Haystack 2019

Query relaxation - a rewriting technique between search and recommendations
Rene Kriegler • Haystack 2019

Rated Ranking Evaluator: an Open Source Approach for Search Quality Evaluation
Alessandro Benedetti • Haystack 2019

Towards a Learning To Rank Ecosystem @ Snag - We've got LTR to work! Now what?
Xun Wang • Haystack 2019

'A picture is worth a thousand words' - Approaches to search relevance scoring based on product data, including image recognition
René Kriegler • Haystack 2018

Bad Text, Bad Search: Evaluating Text Extraction with Apache Tika's tika-eval Module
Tim Allison • Haystack 2018

From user actions to better rankings: Challenges of using search quality feedback for learning to rank
Agnes Van Belle • Haystack EU 2018

Search quality evaluation: tools and techniques
Torsten Köster & Fabian Klenk & René Kriegler • Haystack EU 2018

The Solr Synonyms Maze: Pros, Cons, and Pitfalls of Various Synonyms Usage Patterns
Bertrand Rigaldies • Haystack 2018