ApacheCon North America 2014

Getting good search results is hard; maintaining good relevancy is even harder. Fixing one problem can easily create many others. Without good tools to measure the impact of relevancy changes, there's no way to know if the "fix" that you've developed will cause relevancy problems with other queries. Ideally, much like we have unit tests for code to detect when bugs are introduced, we would like to create ways to measure changes in relevancy. This is exactly what we've done at OpenSource Connections. We've developed a tool, Quepid, that allows us to work with content experts to define metrics for search quality. Once defined, we can instantly measure the impact of modifying our relevancy strategy, allowing us to iterate quickly on very difficult relevancy problems. Get an in depth look at the tools we use to not only search a relevancy problem -- but to make sure it stays solved!