…much. At OSC we’re proponents of open source engines such as Apache Lucene/Solr and Elasticsearch (which have much to recommend them) but the plain fact is that most search engines are the…
OpenSearchCon 2022
…when you want to identify a search relevance baseline performance to begin improving. Splainer and Quepid both support Apache Solr, Elasticsearch, and now OpenSearch! Splainer and Quepid now support OpenSearch!…
How to Implement a Normalized Discounted Cumulative Gain (NDCG) Ranking Quality Scorer in Quepid
…a deep dive of the search engine Solr or ElasticSearch-produced Lucene query structure as well as the math behind the Lucene scoring of matched terms and phrases; And a system…
…search performance than either technique alone. All of the work was done in Elasticsearch and without fine tuning or re-training any models. The methods and results described here were empirically…
…are harvested from logs and put intosomething like the ELK stack (Elasticsearch Logstash Kibana) or sent to Google Analytics. There’scertainly nothing wrong with that approach, but for me it adds…
…Every Friday a team member leads a discussion on real technical solutions to search relevance. Many times the talk is around something seemingly mundane like Solr/Elasticsearch synonyms or boosting strategies….
…the world’s best search teams – if you have a search engine project using Apache Solr or Elasticsearch and you’d like our help tuning relevance or performance, get in touch!…
René Kriegler
…projects for some of the top 10 German e-commerce sites. He is co-founder and co-organiser of MICES (Mix-Camp E-commerce Search), an event that brings together the e-commerce search community each…
…is tokenized by a search engine. A way to file bugs back to your search team for areas where their expertise with Solr, Elasticsearch, Lucene, etc could be valuable. Is…
…and use it! If your IT manager doesn’t like to use unreleased code, tell’em to come talk to me! ElasticSearch continues to have some great mind share, but suffers from…
…to do. The only oddity compared to other machine learning problems, is that this training set comes grouped by query id. Most machine learning data sets don’t come this way….
…system on top of an existing search engine like Solr or Elasticsearch. I’m sidestepping a complicated question. Specifically: how do you arrive at these judgments? How do you know when…