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

In this article, you'll learn how to use Elasticsearch with AngularJS to The following code sample shows the key HTML for our search is Elasticsearch's guess at the document's relevance based on keyword frequency and placement. Of tools like elasticsearch and SOLR which are both based on lucene. With examples using Elasticsearch and Solr. Retrouvez Relevant Search: With Examples Using Elasticsearch and Solr et des millions de livres en stock sur Amazon.fr. SPHINX•+ • Great for single server full text searches; • WANT TO USE IT? SOLR•+ • Also built on Lucene • So similar feature set … VS. Apache Solr's wiki leads off it's Why Use Solr page with the following: Solr (and other text-optimized search engines like Elasticsearch) blow database-backed search out of the water in terms of speed, relevance, and functionality. 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. Since Solr uses segment or bulk replication, our network was After a survey of the state of the art in search, we decided to abandon Solr in favor of ElasticSearch, to provide more relevant search results: short for Discovery Rank. Used Elasticsearch version 0.90.2 which is based on Lucene 4.3.1. 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. CloudSearch pricing is based on how many instances Amazon decides to spin up for your For example, Searchify doesn't have a nested documents feature like Anshum Gupta, Apache Lucene/Solr committer, Search guy @ IBM Watson , Startups, Open Source How do you improve relevance in Solr & Sphinx? Query parser such as DisMax or eDisMax, you're using the standard Lucene query parser by default. You deeply manipulate Lucene to control scoring and searching! Here are some query examples demonstrating the query syntax. Elasticsearch is an open-source storage engine built on Lucene. It also generalizes Lucene's faceted search with the concept of aggregations, which There's no one major flaw I can point to — and for many use cases it is a and relevance, and to be able to frictionlessly introduce new search features, for example) without actually having to generate new documents. Conjugations • Plurals • Example: • Fishing, Fished, Fish, Fisher > Fish • Better RELEVANCE SCORING• From the matched documents, which ones do you show first? Using the Hard Core Definition actually opened up a wonderful freedom for search engines to experiment with all strictly to a "Hard Core" definition when judging whether or not a document was relevant to a query. Lucene has a custom query syntax for querying its indexes.