Our COVID-19 response & supporting the relevance community
How we're adapting to continue empowering search teams with online consultancy & training
Feedback debt: what the Segway teaches search teams
Does your pet feature actually help users? Feedback debt, like technical debt, eventually needs to be repaid.
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Streaming Expressions & Statistics for Human Judgements at the London Lucene/Solr Meetup
Eric Pugh talking about "Streaming Expressions in Solr Revolutionizes How You Think About Your Data" and Nathan Day on using statistics to efficiently bootstrap your collection of human judgements.
Quepid Carries Your Caseload
Now that you are using Quepid to collaborate with members of your team by sharing your cases with other folks, you need a way to view basic information for *ALL* of your owned and shared cases and navigate to those cases within Quepid. That is why we have the Multi Case Dashboard.
Choosing your search relevance evaluation metric
Understand what the common evaluation metrics are telling you about the relevance of search results, so you can pick the best fit for your search situation.
Search Insights 2020, a new report from The Search Network
Announcing Search Insights 2020, a new free report from The Search Network covering many aspects of search and relevancy, with several contributions from the experts at OSC.
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Elasticsearch Learning to Rank - Search as an Machine Learning Problem at the Triangle Search Technology Meetup
We will discuss how search can be treated as a machine learning problem. 'Learning to Rank' takes the step to returning optimized results to users based on patterns in usage behavior. We will talk through where Learning to Rank has shined, as well as the limitations of a machine learning-based solution to improve search relevance.
Importing Legacy Search Results into Quepid
Migrating search engines? Want to prove the migration succeeded without worrying about lost customers, revenue, and the like. With Quepid, you can take a snapshot of the state of your products existing search results with a small amount of work. Then you'll always have this snapshot to compare your new search solution to.
Tour of Tika Server Deployment Options
In which we learn all the different competing ways of deploying Tika as a HTTP service!
Announcing Quepid 6.1.0
While Quepid has been open source for six months, this is the first release that you can deploy yourself!
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Deploying Solr in complicated multi-region environments & Search at BBC Online at the London Lucene/Solr Meetup
Konstantin Perikov of EPAM with a review of different ways to deploy Solr in complicated multi region environments and Andy Webb on Search at BBC Online
Opening up search is an ethical imperative
Human beings search more and more. Continuing to treat search as some mystical voodoo is untenable and must stop.
Why you should submit a talk to Haystack, the Search Relevance Conference
Will my talk get chosen? Will attendees find it interesting? A chance to answer some of the questions you might have about submitting a talk to Haystack, the Search Relevance Conference.
What problem does BERT hope to solve for search?
Traditional search engines and word2vec have their limitations for search relevance. Pt 2 of our series on BERT.
Tika Tuesdays: Parsing Tika & Tesseract formatted HOCR output inside Solr ingestion pipeline
In which we take advantage of Solr's scripting update capability to turn Solr into an OCRing blackbox!
What is a 'Relevant' Search Result?
A relevant search result helps users take further steps, make good decisions, and supports their ability to formulate better, more informed, queries.
Tesseract 3 and Tika
In which we deal with learning that sometimes you don't get to use the latest version of Tesseract...
Demystifying nDCG and ERR
In this post, we unwrap the mystery behind two popular search relevance metrics, and discuss their pros and cons. Our subjects for this exercise are Normalized Discounted Cumulative Gain, and Expected Reciprocal Rank, commonly acronymified as nDCG and ERR. We'll start with some refresher background, visualize what these metrics actually look like, and paint a picture of how each can be either helpful or misleading, depending on the situation. Afterwards, you'll have a better understanding of their behavior and which ones to use when (and why).
A noob’s guide to indexing data with Solr’s classic schema
How to convert the _default managed schema in Solr v8.3.0 to the classic schema of yesterday
What Should Your Search Document Be?
We explore what the basic unit of your search system should be. What *should* your document be? What 'result' in the SERP UI best satisfies your users?
Tika Tuesdays: Using Tika and Tesseract as an API exposed by Solr
In which we deploy Tika and Tesseract as a API in Solr, exposed via the /extract handler!
Tika Tuesday: Using Tika and Tesseract outside of Solr
In which we explore how to deploy Tika and Tesseract as a stand alone service. And tie it into Solr via Payloads...
It's time for Tika Tuesdays!
It's time for Tika Tuesdays! Three years ago I started messing around with OCRing documents with Tika, and today that process is relatively straightforward. This weekly series will share what I've learned.
Haystack Europe 2019, Berlin, Germany, Conference Notes
My notes taken during the Haystack EU 2018 in Berlin, Germany, on October 28th.
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Natural Language Search Training - NLP <3s Search - at Relevance Cornucopia🦃!
Learn to leverage NLP to improve search relevance
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Hello LTR! Learning to Rank Training at Relevance Cornucopia🦃!
Go hands on with machine learning tools to improve relevance via Learning to Rank
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Solr 'Think Like a Relevance Engineer' Training! at Relevance Cornucopia🦃!
Learn to improve search quality from the best experts in the field. From TFIDF, to Semantic Search, to Learning to Rank with Solr!
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Elasticsearch 'Think Like a Relevance Engineer' Training at Relevance Cornucopia🦃!
Learn to improve search quality from the best experts in the field. From TFIDF, to Semantic Search, to Learning to Rank with Elasticsearch!
Understanding BERT and Search Relevance
There is a growing topic in search these days. The hype of BERT is all around us, and while it is an amazing breakthrough in contextual representation of unstructured text, newcomers to NLP are left scratching their heads wondering how and why it is changing the field. Many of the examples are tailored for tasks such as text classification, language understanding, multiple choice, and question answering. So what about just plain-old findin' stuff? This article gives an overview into the opportunities and challenges when applying advanced transformer models such as BERT to search.
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The Right Path To Making Search Relevant at the Regensburg Data Science Meetup
Charlie from OSC will give the inaugural talk at this new Meetup in Southern Germany
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Solr 'Think Like a Relevance Engineer' Training at Haystack Europe
Learn to improve search quality from the best experts in the field. From TFIDF, to Semantic Search, to Learning to Rank with Solr!
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Elasticsearch 'Think Like a Relevance Engineer' Training at Haystack Europe
Learn to improve search quality from the best experts in the field. From TFIDF, to Semantic Search, to Learning to Rank with Elasticsearch
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Haystack Europe - The Search Relevance Conference.
Haystack Europe is the conference for improving search relevance. Haystack Europe is the no-holds-barred conference for organizations where search, matching, and relevance really matters to the bottom line.
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.