This blog post let's the simple model we derived in a previous post and make it usable via the Elasticsearch Learning to Rank plugin.
Many search nerds get an instinct they want to 'learn the right boosts' to apply to their queries. This blog post covers how to do that using a linear learning to rank model
Doug will highlight the Elasticsearch Learning to Rank plugin OSC has developed. Jason Kowalewski will discuss use cases related to personalized job search & recs.
Doug will be speaking about 'Elasticsearch as a General Purpose Recommendation System' including highlighting Elastic Graph's capabilities to support a real-time recommendation system.
Trey talks about what is new and upcoming in Solr
We walk through Learning to Rank, which uses machine learning to improve the relevance of search results.
Doug will be attending ElasticOn and sharing OSC's new Elasticsearch Learning to Rank Plugin with the conference attendees.
This article investigates Solr support for non-ASCII utf-8 characters.
Announcing the Elasticsearch Learning to Rank Plugin: Bringing machine learning into Elasticsearch to improve search relevance.
During our Annual Retreat, we looked back at the conferences that we spoke at. I wanted to share ;-)
Trey is SVP of Engineering at Lucidworks and the co-author of Solr in Action
You have probably heard us talk about Solr Multiterm Synonyms a lot. This article demonstrates a technique that solves the problem, with fewer performance and relevance issues than other approaches we've used.
I try not to get sucked in by hype, but OpenBadges managed to do just that, and has left me in the trough of disillusionment. However, maybe a light at the end of the tunnel?
How to build semantic search using curated taxonomies and managed vocabularies
Eric will be sharing some experiences making Solr part of a larger data ecosystem through using Apache Spark and Apache Zeppelin.
In this article I want to begin to discuss patterns that I've found useful when managing Solr/Elasticsearch synonyms.
Today I want to talk about one strategy traditional retailers can use: reverse showrooming. What do I mean by reverse showrooming? Basically that retailers take advantage of my materialistic lust to have an item *right fricken now* while I'm sitting at home.
Moving data around. It's always a pain. Is NiFi the better mousetrap for this?
Martin is the author of the book 'Enterprise Search'
As part of the London hack days Diego Ceccarelli started a BM25F implementation. I began to continue it at Lucene Revolution's Lucene hackathon. I realized though that when you break down the problem, BM25F can be implemented using existing Lucene bits, including the existing BM25Similarity and the BlendedTermQuery.
*The* conference focused on Solr, we've made the pilgrimage since 2010
Graph + Search means easy to implement recommendations. Check out what we've done with the Elasticsearch graph plugin.
Doug Turnbull (OpenSource Connections), ‘Test Driven Relevancy -- How to Work with Content Experts to Optimize and Maintain Search Relevancy’ (Doug will join us via video) René Kriegler (Freelance Search Consultant), ‘Managing Search Relevancy in Solr using the Querqy open source library’.
What's new in ES and Solr; Doug goes into more detail on using search engines as recommendor systems.
Sometimes you need to convert from case tables to frequency tables. Here is how I did it with R.
If you're a geek in or around the Charlottesville metroplex or even if you're merely tech-curious, this is the event you don't want to miss. beCamp is Charlottesville's version of the BarCamp unconference phenomenon: organized on the fly by attendees, for attendees.
There's a trend away from recommendation systems being the domain of wealthy organizations. Increasingly, I see a shift towards search engines like Solr or Elasticsearch for implementing recommendation systems
Let's explore how to deliver great recommendations with Elasticsearch. In this article, we dive into an aggregrations based method for Elasticsearch recommendations. We attempt to understand the mechanics and assumptions of the underlying JLH scoring method.
Eric will be giving a short talk on how to break the Cassandra data modeling strait jacket with DSE Search
Users listen to their friends, not your recommendation system. Is there a way to reimagine recommendation systems around social influence?
How to build a search practice with Doug Turnbull, Matt Overstreet and Scott Stultz. Doug released a companion to relevant search about how to actually practice good search. We discuss it.
In this series of articles, I want to give you, the content person, a very practical and straight-forward guide to managing site search. We'll start by discussing diagnosis -- how to find problems. We'll use a simple, free analytics tool (google analytics). We'll make a few naive assumptions about these analytics that act as a good starting point.
The problem with lunch and learns is that everyone's busy! It's challenging to find enough time to put together a good presentation to the group. Luckily Doug is here!
I'm working with two data sets (AACT and SEER) and finally seeing the challenges in how the data is laid out versus how I thought it would be!
We're happy to announce today we're releasing our OpenSource Connection's official search relevance methodology. It lays out a framework for incrementally implementing and evaluating relevance against what matters to your business
A conversation with Doug Turnbull and John Berryman, authors of Relevant Search from Manning Publications about: The future for search What it’s like to write a techinical book, an how they got started doing it What is different about their book compared to what has been written before, including some book recomendations Search problems they wish they could solve If you’ve listened to this podcast before you are know Doug, the search relevancy lead at OpenSource Connections. John Berryman is an OpenSource Collections Alumni who works on the search and discovery team at EventBrite Relavant Search is available now from Manning Publications “Relevant Search demystifies relevance work. Using Elasticsearch, it teaches you how to return engaging search results to your users, helping you understand and leverage the internals of Lucene-based search engines”
ClinicalTrials.gov is a wealth of information. But the only database format they support is an Oracle dmp file. Follow along as I help our data science intern answer hard questions about ethnic diversity in clinical trials by deploying Oracle using Docker Cloud.
After much sweat and tears our book Relevant Search is out! Relevant Search reflects the wisdom we've acquired over the years helping many clients improve search. I thought it would be an appropriate time to recap where many organizations get stuck with search
My name is Samia, and I am a DataStart intern for the next couple of months. My project is an analysis of racial, gender, and ethnic representation on cancer clinical trials conducted between 2002 and 2012. I will be learning to use data management tools to get a basic handle on my data before I can begin my analysis.