Relevant Search: With examples using Elasticsearch and Solr by Doug Turnbull, John Berryman

Relevant Search: With examples using Elasticsearch and Solr



Download Relevant Search: With examples using Elasticsearch and Solr

Relevant Search: With examples using Elasticsearch and Solr Doug Turnbull, John Berryman ebook
Page: 250
ISBN: 9781617292774
Publisher: Manning Publications Company
Format: pdf


SPHINX•+ • Great for single server full text searches; • WANT TO USE IT? Is Elastic search is mature enough to be used for Mongodb full text search? See examples below: in scores and relevance/ranking as it is using RankingAlgorithm now. Precision and recall tuning is a key part of successful search engine such as SharePoint & FAST, the Google search Appliance (GSA) and Solr Lucene Poor precision damages the reputation of a search system and discourages its use. Similarly for Solr, the examples I have seen usually involve similar The score determines the relevance of a document to a given search query. Google Apache Solr • Based on Lucene! What are the advantages and disadvantages of using Elasticsearch or Solr? Solr is a great Lucene based search engine. SOLR•+ • Also built on Lucene • So similar feature set … VS. We will cover a simple use case of the tool i.e. Conjugations • Plurals • Example: • Fishing, Fished, Fish, Fisher > Fish • Better RELEVANCE SCORING• From the matched documents, which ones do you show first? No changes to the way you query or use elasticsearch.





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