I spent some time today listening to Dale Smith (REI Lead Engineer – Search Platform) and Chris Phillips (REI QA Engineer – Search Platform) discuss REI’s efforts and also Luis Bitencourt-Emilio of Reddit discuss their efforts around search at a event in Seattle. They had previously provided talks at Lucene/Solr Revolution 2017 Conference (which I include below). These were two very illuminating discussions about the critical nature of search and the approaches that two very different companies took to address their rapidly growing search needs.
One of the critical aspects of this effort required they move to the new Search engine without changing the existing API and while retaining their SEO impact. There were many challenges on the way and this is presentation highlights their challenges and their success and how they went about developing a parallel search engine and testing it – effectively changing the wheels of the car while they were driving it.
Luis Bitencourt-Emilio of Reddit also provided their efforts around search and their increased use and appreciation of the value of the machine learning aspect of Lucidworks Fusion AI.
This presentation is already dated (it has been six months) and their new stack has changed and they have added Kafka to their solution-set.
Related link : ML Model Training and Prediction Using Lucidworks Fusion