How to Implement a Normalized Discounted Cumulative Gain (NDCG) Ranking Quality Scorer in Quepid
A guide on how to implement, test, and deploy a Normalized Discounted Cumulative Gain (NDCG) ranking quality scorer in Quepid.
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Cognitive Solutions day
Want to hear how the next generation of digital solutions are applying AI and Machine Intelligence to create intelligent applications, like Chatbots and Virtual Assistants?
Solr Multiterm Synonyms: avoiding sow=false surprises
We document some of the behaviors behind Solr's relatively new sow=false strategy for parsing queries and dealing with query-time synonyms
Haystack Agenda Announced!
The agenda for Haystack - the search relevance talk - has been announced!
Elasticsearch Learning to Rank 1.0.1 Released
Elastic Cloud users rejoice! Elasticsearch LTR 1.0.1 released with support for XPack Security added.
Retaining Customers
Optimizing products to build real brand fanatics - beyond just 'conversions'.
Roll your own search analytics
Search metrics are crucial, and they're easy to do.
Why We're Doing a Search Relevance Conference
Why are we hosting this crazy Haystack conference? We want to bring together search relevance practitioners to discuss their hardest technical problems.
Solr Synonyms and Taxonomies: Mea Culpa
In my LuceneRevolution talk I neglected to discuss how SynonymQuery impacted index time semantic expansion. I discuss that oversight in detail here, with work arounds
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Machinary.ai - Getting started with Learning To Rank
Overview, prerequisites, and implementation details of getting started with Learning To Rank. Why relevancy tuning will be taken over by machine learning, but not yet.
Vespa vs Lucene: First Impressions
Our first impressions of Vespa compared to Solr or Elasticsearch
Elasticsearch Learning to Rank 1.0 RC1 Released
We've released Elasticsearch Learning to Rank 1.0 RC1, which brings machine learning capabilities to Elasticsearch relevance ranking. Beginning the March to fully releasing version 1.0.
Solving The Search Management Minefield in Open Source Search
Don't be fooled by fancy technology: search is fundamentally a business problem; not a technical one. Technologists and domain experts need to establish careful contracts for managing search together.
How is search different than other machine learning problems?
In this article, I want to explore what makes search distinct from classic machine learning problems by giving you a tour of some different approaches.
Three Steps To Take Before Replacing Your Enterprise Search Solution
Replacing an enterprise search product? Use this three-step process to create actionable requirements for your team before you start.
Caching In Elasticsearch
What caching does Elasticsearch support, and what is the best way to take advantage of it?
Is Your Infrastructure Ready For Learning To Rank?
The success of a machine learning project will be dependent on the quality and quantity of the data available.
Optimizing User-Product Matching Marketplaces
We explore the parallels between search, recommendation systems and microeconomics. Proposing a new way to think of search relevance and recsys as a system of maximizing the utility of multiple buyers. Is search and discovery akin to quantitative finance in its potential for optimization?
Heatmaps in Elasticsearch
Heatmaps over geo_shape fields in Elasticsearch
Using Splainer to Debug Complex Solr Function Queries
Solr function queries look like Excel queries from hell. I want to tell you how I debug complex Solr function queries using Splainer.
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OpenSource Connections is proud to host beSwarm 8
OpenSource Connections is proud to again host beSwarm! beSwarm is a gathering of tech enthusiasts from all over central Virginia to discuss, share, and learn about anything that interests us. The idea of the event is that participants “vote with their feet,” moving around the room and forming swarms around interesting discussions and presentations.
When to choose open source search (and when you shouldn't)
In this article, I want to single out Solr and Elasticsearch specifically for consideration. Why? As open source solutions, they share *most* of the pros/cons compared to proprietary solutions when making a business decision.
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Elastic DC Meetup: Kibana Basics
New to Kibana, and related tools? In April we'll be doing a beginners night for folks interested in Kibana and adjacent topics. We'll have a 25 minute share plus YOUR lightning talks!
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DrupalCon: Baltimore
Can Drupal+Solr Yield Google-like results? Come chat with CEO Eric Pugh at DrupalCon!
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RVA Data Hackers
Doug will highlight the Elasticsearch Learning to Rank plugin OSC has developed. Jason Kowalewski will discuss use cases related to personalized job search & recs.
Test Driving Elasticsearch Learning to Rank with a Linear Model
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.
Learning to Rank 101 -- Linear Models
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
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Elastic DC Meetup
Doug will highlight the Elasticsearch Learning to Rank plugin OSC has developed. Jason Kowalewski will discuss use cases related to personalized job search & recs.
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Future of Data Philly Meetup
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.
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Trey Grainger Chats about Solr and Lucene Revolution Part. 2
Trey talks about what is new and upcoming in Solr
What is Learning To Rank?
We walk through Learning to Rank, which uses machine learning to improve the relevance of search results.
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Elastic{On}
Doug will be attending ElasticOn and sharing OSC's new Elasticsearch Learning to Rank Plugin with the conference attendees.
Solr UTF-8 Character Handling
This article investigates Solr support for non-ASCII utf-8 characters.
We're Bringing Learning to Rank to Elasticsearch
Announcing the Elasticsearch Learning to Rank Plugin: Bringing machine learning into Elasticsearch to improve search relevance.
The Conferences We Went to in 2016
During our Annual Retreat, we looked back at the conferences that we spoke at. I wanted to share ;-)
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Trey Grainger Chats about Solr and Lucene Revolution Part. 1
Trey is SVP of Engineering at Lucidworks and the co-author of Solr in Action
Our Solution to Solr Multiterm Synonyms: The Match Query Parser
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.
OpenBadges: Currently dragging me through the trough of disillusionment
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?
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.