This full day class helps you understand how working on onsite search for e-commerce requires different thinking than other engineering problems. We teach you to measure search quality, take a hypothesis-driven approach to search projects, and safely 'fail fast' towards ever improving business KPIs.
Eric will share what he’s learned in creating a project structure that will feel at home for both Data Scientists and Engineers using Apache Zeppelin and Docker.
A guest blog from Alex Addison on how LexisNexis UK are building production-ready infrastructure for Solr using AWS autoscaling groups, Terraform and Zookeeper.
Search is a deceptively complex field, where competence is hard-won through training, practice, and experience. In that vein dear friends, I've exhumed the venerable "Falsehoods Programmers Believe" party from 4 years ago to bring you one about, no less, Search.
We won't address machine learning illiteracy in search if we can't go beyond buzzwords. We need to teach concrete, specific techniques.
Join me for four training days in August, going deep into improving your search relevance and learning to rank skills.
Using simple statistical methods to find important phrases goes a surprisingly long way to improve search relevance
Moving beyond edismax with the BoolQueryParser and Solr's JSON API
A brief review of the second day of Haystack 2019, the search relevance conference
A brief review of the first day of Haystack 2019, the search relevance conference
Dmitri Lerko on Solr & Kubernetes and Alessandro Benedetti on Lucene's More Like This and the usual Q&A and networking
Haystack is the conference for improving search relevance. Haystack is the no-holds-barred conference for organizations where search, matching, and relevance really matters to the bottom line.
Quepid, the search testing tool, to become open source software from May 2019 - with a free hosted version!
Go hands on with machine learning tools to improve relevance via Learning to Rank while also attending Haystack - the Search Relevance Conference!
Learn to improve search quality from the best experts in the field. From TFIDF, to Semantic Search, to Learning to Rank with Solr while also attending Haystack - the Search Relevance Conference!
Learn to improve search quality from the best experts in the field. From TFIDF, to Semantic Search, to Learning to Rank with Elasticsearch while also attending Haystack - the Search Relevance Conference!
How Amazon forked the open source Elasticsearch project in reaction to Elastic's mixing of open source and commercial code, and what it means for users
Two talks from the authors of Relevant Search on improving search relevance using Machine Learning
Go hands on with machine learning tools to improve relevance via Learning to Rank while also attending Haystack - the Search Relevance Conference!
Learn to improve search quality from the best experts in the field. From TFIDF, to Semantic Search, to Learning to Rank with Elasticsearch
How to integrate machine learning into search via Learning to Rank models as part of the Machine Learning track....
OSC have contributed to a free report on search with a chapter on The Rise of the Relevance Engineer
Search relevance is how questions are answered through search. It's the process of changing the ranking of search results for a user query.
Getting search right and producing real, relevant results for your users isn’t just a technical problem – it requires a collaborative approach from all areas of the business.
Feature blow-by-blows of heavily configurable open source search engines don't make much sense.
Flax has joined OpenSource Connections
Learn to improve search quality from the best experts in the field. From TFIDF, to Semantic Search, to Learning to Rank with Solr
Learn to improve search quality from the best experts in the field. From TFIDF, to Semantic Search, to Learning to Rank with Elasticsearch
Why another search conference? Because search relevance shouldn't be locked behind obscure papers and walled gardens. It needs a community of practitioners to freely share solutions, open source tools, and best practices.
When people say they have 'synonyms' in their search engine, it can turn out to mean a lot of different things...
When considering improvements to search in a product or application it is necessary to have a vision of overall quality, which is a combination of three key areas: relevance, experience, and performance. This article explains all three at a high level and why they matter as a whole, and offers some tips to diagnose and attack a spectrum of common search quality issues.
We share our thoughts on the Lucidwork's Activate 2018 conference
I was privileged to participate in Haystack EU 2018 - relevance engineering as a discipline is here to stay, and just about every search & discovery team is scrambling to understand this new discipline.
This search stuff sounds like work - won't AI just solve all these problems soon?
*The* conference focused on Solr now adds an AI element, we've made the pilgrimage since 2010
Explore key considerations for leveraging your existing data in conjunction with open third-party content in order to extract valuable insights through methods of analysis and visualization.
In 2012 I first saw OpenNLP, and was both excited by it, but also appalled by the documentation. I wrote this blog post in 2012, but turns out I never actually published it! So here it is, updated for OpenNLP 1.9.0!
We empower great search teams to achieve their potential
We teach some of the largest organizations how to deliver more accurate, relevant results with Solr and Elasticsearch. If search is core to your value, you should never outsource it.
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