Doug Turnbull will be speaking at the premier Southeast Python conference, presenting The Ghost in The Search Machine
In Soviet Solr, Document searches Query!
Matt Overstreet and Doug Turnbull talk about various ways to improve search relevancy.
Eric will be sharing some experiences making Solr part of a larger data ecosystem through using Apache Spark and Apache Zeppelin.
An all-star panel sits down to talk about the state of Solr and the upcoming Solr 6 release. Erik Hatcher from Lucidworks joins Alan Woodward and Charlie Hull from Flax.
Andrew Montalenti from Parsl.ey joins Doug Turnbull and Joe Lawson to talk all things Elastic Search.
Last time we discussed matching, where Elasticsearch was the clear winner. This time, we'll take a look at controlling *ranking*. More specifically, we'll see what happens when the two search engine's Query DSLs duke it out! Next time, we'll discuss how deeply you can plug each search engine.
Richmond Data Hackers: It’s a Balloon! A Blimp! No, a Dirigible! Apache Zeppelin: Query Solr via Spark
Eric will be sharing some experiences making Solr part of a larger data ecosystem by leveraging Apache Spark and Apache Zeppelin.
jruby-kafka now supports Kafka 0.8.2.2 releasing v2.0 and v1.5
Daniel sharing his experiences "Building a search application with AngularJS"
Doug hates notifications, what about you? Also Quepid.com is not live on Ruby on Rails.
SolrJ is a really great client library, until you try to use some of the newer features of Solr, and have to jump through some hoops.
Matt, Doug and Eric get together to try out new podcasting tools and talk about recommendation engines.
So you’ve stood up Solr or Elasticsearch. Your search app is humming along. However, how do you know your search understands what your users are asking for? Users are notorious for ignoring everything on your page other than the search bar. They go straight to the search bar and tell you what they want. With just as much speed, they give up and leave when they can’t find what they want.
Explore the new TypeCodec system in the C* Java Driver
Solr vs Elasticsearch! There’s been a TON of posts. But has anyone ever compared them when it comes to traditional -- you know -- controlling regular ole search results!?
Doug Turnbull will be presenting The Ghost in The Search Machine (aka Doug Turnbull’s Stupid Search Tricks)
We recently worked on moving Quepid from a Python backend to a Ruby backend, something Joel Spolsky would frown upon. Here's why.
We will be exhibiting Quepid and talking about the importance of relevant search
AWS's biggest event of the year is always good for refined ideas. Let's review a few of Joe's favorite practices, sessions and lessons learned from this year's conference.
Graphs. In Solr!
We will be speaking and sharing war stories about building always on always available discovery systems using Cassandra
We will be workshopping *Enabling a Sophisticated Search User Experience* at KMWorld
When you have a lot of fields, sometimes you just want to exclude a few.
Quepid & OSC can help you transition from legacy search to a Solr or Elasticsearch solution while helping you avoid the negative impacts and even improve your search in the process.
beCamp, that most Charlottesville of conferences brings together tech-curious folks from all walks of life.
A quick trip review of Cassandra Summit 2015.
There's something new cooking in how Lucene scores documents. Instead of the traditional "TF*IDF," Lucene just switched to something called BM25 in trunk. That means a new scoring formula for Solr (likely Solr 6) and Elasticsearch down the line.
*The* conference focused on Solr, we've made the pilgrimage since 2010
Courtesy of Grant Ingersoll's keynote speech, some bad behaviors we all, including me, engage in when tuning search results!
When the Charlottesville Women in Technology (CWiT) team first contacted Opensource Connections (OSC) about whether or not we wanted to sponsor CWiT for the year, to be honest I knew very little about the details of gender inequality in Science and Technology and even less about ways to help address that inequality.
We're going to be at Elastic ON sharing how to tune ES for better search results!
Amazon Web Services' premiere conference.
Doug, author of Relevant Search, will be sharing some advanced techniques
Good news! We're proud to announce our test-driven search toolbench Quepid now supports Elasticsearch. Quepid helps by bringing test-driven principles to tuning search results -- what we call Test-Driven Relevancy. It helps define what good search results by incorporating your own business expertise from colleagues that know users the best