…to Rank. If you are ready to try it out for yourself, try out our ElasticSearch LTR plugin! Watch for more articles in coming weeks on: Models: What are the…
…disappoint with bad service. Delight with amazing, prompt, and relevant service. The Art and Science of Relevancy The trick to relevancy is that search engines, like Solr and Elasticsearch, are…
…engagements we have explicit criteria for specific technical fields. These criteria we call Merit Badges, and we have them at various levels for our specific concentrations in Solr, Elasticsearch, Cassandra,…
This document walks you through how to join one of our self-led search training courses: Think Like a Relevance Engineer – Solr Think Like a Relevance Engineer – Elasticsearch Think…
Glossary Item
Co-occurence
Terms that statistically co-occur together based on some measurement (see Elasticsearch significant term aggregations as one implementation).
…this as freely available open source or commercial software – here’s a comparison of some current contenders. Recent releases of the Elasticsearch, OpenSearch and Apache Solr search servers (all based…
…BlendedTermQuery to implement BM25F Lucene’s BlendedTermQuery forms the guts behind Elasticsearch’s cross_field search. What BlendedTermQuery does is blend global term stats as best as possible across different fields. If the…
…an area that weve been working hard to highlight. Weve found that folks plug in search, Solr or Elasticsearch, and get themselves to a point where search seems to work….
…a lot on improving search relevancy & quality, so if you feel like you need this level of work or any other Solr or Elasticsearch relevancy help, please contact us!…
…source search and applied Information Retrieval since 2007. We wrote the book Relevant Search and have pioneered open source relevance tuning tools like the Elasticsearch Learning to Rank plugin, Quepid and Splainer. Your trainer Your OpenSource…
Glossary Item
Lucene
An open-source Java-based search engine library that is used by Solr, Elasticsearch and OpenSearch.
…evolve in the near future. With Vespa and Elasticsearch, there already are two search engines capable of combining dense and sparse retrieval. It will be only a matter of time…