We are happy to announce that our brand new online course-series PS salon kicks off in collaboration with Chorus!
Following the great success and demand of the Open Source tool stack presentation by René Kriegler,Eric Pugh, Paul Bartusch and Johannes Peter at this year’s online edition of Berlin Buzzwords (in co-presentation with Haystack the search relevance conference, and MICES the e-commerce search event) we are bringing you Chorus, an intensive hands-on workshop in six parts.
Attending these workshops is your chance to learn with the creators of the open source projects that make up the Chorus toolstack.
Who can benefit from these Chorus workshops?
This is a fast paced workshop for people who have been doing search, and want to learn the latest in open source offerings, so we expect you to already have familiarity with search in general, and exposure to either Solr or Elasticsearch platforms. We do NOT expect you to have any familiarity with any of the other components of Chorus, we’ll teach you that! If you aren’t familiar with search, we recommend any of the intro to Solr classes, as well as the Think Like a Relevancy Engineer course offered by OpenSource Connections. We are looking for interested people who are focused on optimizing e-commerce (or an adjacent field) search.
This is the first run of these workshops and we are offering 16 free places to interested attendees. This is a great one time opportunity to receive free hands on trialing with the creators of Chorus as we will be charging for future courses. If you are interested in attending these workshops please visit the PS Salon website where you can find more details and apply. Places will be awarded following an application. We are looking for people who will be a good fit for the course, are able to attend all six workshops, and will provide feedback on the course following completion.
Register through the PS Salon website here
Workshop 1 - Welcome to Chorus
90 mins - Eric Pugh & René Kriegler
Nov 17 (Tues): 4 PM CET / 10 AM EST
In this first workshop you will install Chorus on your machine, get started with its components and learn how they work together to create an e-commerce search for an example online shop. You will also get a brief intro to Docker for those of you new to this powerful tool.
Workshop 2: Search Management UI (SMUI) - hands-on search management (“searchandizing”)
90 mins - Paul Maria Bartusch
Dec 2 (Wed): 4 PM CET / 10 AM EST
With the Search Management Ui (SMUI) you will learn how to deal with zero result dead end situations, boost the products you want your users to see, bury misleading products and categories, and solve common everyday relevancy issues.
Workshop 3: Quepid - hands-on search relevance tuning
90 mins - Eric Pugh
Dec 15 (Tues): 4 PM CET / 10 AM EST
Poor interaction between developers and content experts causes search quality to slide backwards. Learn how to use Quepid to quickly assess the quality of your search results, and move from an improvement process based on gut feeling to a data–driven approach.
Workshop 4: Querqy - hands-on query rewriting and query building
120 mins - René Kriegler & Johannes Peter
Jan 12 (Tues): 4 PM CET / 10 AM EST
Querqy is the query rewriting and query building component that sits at the heart of relevance tuning in the Chorus stack. In this workshop you will take a deep-dive into the many configuration options that Querqy provides, and learn to use the query rewriters that come with Querqy
Workshop 5: Rated Ranking Evaluator - hands-on relevance testing!
90 mins - Sease.io
Jan 26 (Tues): 4 PM CET / 10 AM EST
In this workshop you will learn how to deploy the Rated Ranking Evaluator (RRE), especially in a CI/CD environment, and what the different metrics that RRE collects mean in terms of judging the quality of your search relevance.
Workshop 6: Quaerite - Bring in the Genetics!
90 mins - Tim Allison
Feb 9 (Tues): 4 PM CET / 10 AM EST
In this workshop you will learn how to use Quaerite, and to measure the quality of the results. You will leave having used Quaerite to pick a base set of algorithm parameters that returns the best set of results, as measured by RRE.