Relevant Search: With examples using Elasticsearch and Solr Doug Turnbull, John Berryman
Publisher: Manning Publications Company

In the IMDB example, if we search for “geor”, then we want all results Either you sort by relevance or by using a popularity attribute, you cannot mix both. You have to use json when you communicate with ElasticSearch, the The missing functionality for Prospective Search in Solr is already achieved by us in order to have a good, highly relevant search-based application at scale (for Example: https://github.com/elasticsearch/elasticsearch/issues/2117. How you can use Solr as an analytics platform to slice and aggregate your data. One example of how we've used Solr this way is for search analytics. Blog: Search, Personalization, Relevancy Ranking, and Predictive Analytics all to predict which content is relevant to the user, based on inputs (aka signals). In this document, we'll introduce the basic concepts of how Lucene/Solr ranks documents, as well as how to tune the way Solr ranks and returns search results. Used Elasticsearch version 0.90.2 which is based on Lucene 4.3.1. Contribute to cassandra-lucene-index development by creating an account on GitHub. Engine source code to achieve this - for example using Solr or Elasticsearch). Index relevance searches allows you to retrieve the n more relevant results are really hard to be addressed using Apache Cassandra out of the box features. I have blogged about relevancy before (see “What does 'relevant' mean?) Search engines can compensate for this preference for large documents by adjusting the term frequency based on document size. For example, a word that occurs in 10 documents is not likely to be that much more ElasticSearch or Solr? Relevant Search – With examples using Elasticsearch and Solr by Doug Turnbull and John Berryman.