Learning What’s Relevant Without The Search
How Predictive Ranking using Elo’s System can be used to understand marketplace trends for re-ranking search results
How Predictive Ranking using Elo’s System can be used to understand marketplace trends for re-ranking search results
Carefully prune the bonsai tree with Quepid for Elasticsearch 🙂 Good news! We’re proud to announce our test-driven search toolbench Quepid now supports Elasticsearch. Quepid solves fundamental problems that…
I love stringing together custom analyzers to solve my search problems. Analyzers control how search and document text are transformed, step-by-step into individual terms for matching. This in turn…
Do you know about Splainer? It’s our handy-dandy, free and open source tool for developers working with Solr search results. In addition to Quepid, it’s become my favorite go…
Crossing streams — problem. Crossing fields? No problem! Elasticsearch’s cross field queries are a great feature. They let you blend multiple fields scores together on a search-term by…
Have you ever tried a site’s search and been underwhelmed with the accuracy of the results? Do you find yourself feeling frustrated and leaving when the search doesn’t return…
Every now and then we’ll come across a search problem that can’t simply be solved with plain Solr relevancy. This usually means a customer knows exactly how documents should…
Building upon earlier work with semantic search, OpenSource Connections is excited to unveil exciting new possibilities with Solr-based product recommendation. With this technology, it is now possible to serve…
Please find my piece of hay! To be successful, (e)dismax relies on avoiding a tricky problem with it’s scoring strategy. As we’ve discussed, dismax scores documents by taking…
So Jonathan, one of our interns this summer, asked an interesting question today about MapReduce. He said, “Lets say you download the entire data set of whos following who…
Let’s recall from Anatomy of a Dismax Query some key components of the dismax query parser: OK, now we’ve had plenty of time to study John’s post (and hey…