Doug Turnbull and Matt Overstreet take a tour of the OSC blog from the last week. Including how Quepid can help if you are migrating from GSA to ElasticSearch or Solr, how to decorate search with search and using Elo scoring to quantify content 'hotness'. Special suprise guest, Scott Stults joins us out of the blue to add his thoughts!
Search is great. It is unparalleled at jumping directly to content that you know exists. But it doesn’t allow for the same free-style exploration as the early web web did.
It's terrifying to contemplate switching search engines. If search is core to your value add, then you need to proceed carefully. How do you prove a migration from GSA to Solr maintains the relevance of your search results? How do you know you're on track?
What's "relevant" can transcend any particular search query or user. Sometimes search relevance is sometimes as simple as being savvy about what's hot for your audience and biasing search in that direction.
Eric Pugh, Matt Overstreet and Doug Turnbull talk about Elastic{on} 2016. What did we love, what did we question, and what did Doug think about his swag?
Our relevancy guru Doug brings his wisdom to the Elasticsearch crowd at Elastic{On}
Walk through how a simple search interface can be written in AngularJS, using Elasticsearch as the search engine.
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 Elasticsearch.
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.
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
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.
We provide expertise and solutions for the Solr, Elasticsearch, & Cassandra ecosystems.
From best practices to full-stack development and design, we can transform your search experience.
