What is a Relevance Engineer?
A relevance engineer is a key, and often missing component of the search team, implementing information retrieval algorithms that solve user information needs in real time, at scale.
My 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…
Silos 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…
Feedback 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….
Importing 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,…
Opening 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…
What 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…
What 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…
What 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…
Announcing Relevance Cornucopia – How Natural Language Search completes Learning to Rank
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…
Diversity 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…
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….