How You Can Use Hello LTR – The Learning to Rank Sandbox
Learning to Rank just seems hard. Applying Machine Learning to relevance in Solr or Elasticsearch seems non-trivial, and it seems to require a lot of crufty code and plumbing. With Hello LTR we have...
View ArticleDiversity vs. Relevance in Search Systems
I want to share something powerful I’ve learned from my journey into designing a successful search ranking systems; an area I don’t think most search practitioners are really thinking about: There’s a...
View ArticleAnnouncing Relevance Cornucopia – How Natural Language Search completes...
In August’s Summer of Relevance we took 19 attendees through intense, small-class search relevance training workshops – including “Think Like a Relevance Engineer” and “Hello LTR – Learning to Rank...
View ArticleWhat Should Your Search Document Be?
In a search engine, the “document” is the basic unit of indexing and retrieval. It’s the “result” on the search results screen when a user enters a query. Many teams make the mistake of selecting...
View ArticleWhat is a ‘Relevant’ Search Result?
Five years ago, I wrote an article called What is Search Relevance?. Back then, I had to shout to convince people to even notice whether search results were accurate or not. On OSC’s app development...
View ArticleWhat problem does BERT hope to solve for search?
I’m sure if you run in search or NLP circles, you’ve heard of BERT. It’s what Google famously used to improve 1 out of 10 searches, in what they claim is one of the most significant improvements in the...
View ArticleOpening up search is an ethical imperative
As search professionals, we’re often lost in our everyday minutiae. We don’t appreciate the impact of our work on everyday lives. The data shows that when users encounter non-trivial amounts of...
View ArticleImporting Legacy Search Results into Quepid
Are you migrating from Google Search Appliance, Endeca, or some other legacy search solution to Solr or Elasticsearch? Want to prove the migration succeeded without worrying about lost customers,...
View ArticleFeedback debt: what the Segway teaches search teams
Does anyone else remember the Segway? Segway was billed as the most revolutionary transportation innovation, well, ever. We would use it instead of cars; instead of biking and walking. To quote a Wired...
View ArticleSilos Are the Enemy of AI Powered Search
As a contributor to AI Powered Search I’m struck by how often organizational, rather than technical, challenges stymie machine learning adoption. Let’s explore one of those challenges: silos between...
View ArticleMy python generator died and all I got was this stupid blog article
couple your generators with context managers! As part of my AI Powered Search chapters, I’m cleaning up Hello LTR’s Python API to make the code more readable as book examples. A big part of the API is...
View ArticleWhat is a Relevance Engineer?
At OpenSource Connections, we discuss the role ‘relevance engineer’ quite extensively. In this post, I want to define this term. We feel it’s a key, often missing component of search teams. A...
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