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

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

One example of how we've used Solr this way is for search analytics. Contribute to cassandra-lucene-index development by creating an account on GitHub. Relevant Search is all about leveraging Solr and Elasticsearch to build more Examples for this book are written in Python 2.7 and use iPython notebook. 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? MoreLikeThis constructs a lucene query based on terms within a document to find other /java/3_0_1/api/contrib-queries/org/apache/lucene/search/similar/ MoreLikeThis.html Sample code Solr Searching, Numeric Matching and Relevance. Netflix, for example, uses Solr for its site search feature, but this should not be The underlying technology is based on Lucene, which has a ranking If you have a heavy tailed query space, you are going to have poor relevance in the tail. None of the Examples: # Using positional arguments. *FREE* shipping on qualifying offers. All about Relevant Search (With examples using Elasticsearch and Solr) by Doug Turnbull. You need the latest & greatest of either Solr or Elasticsearch. 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. For example with MySql you hit a brick wall once your indexes no longer fit in memory. Taken from Relevant Search: How documents are transformed into tokens indexed into a One step in analysis, for example, could be forcing text to be lowercased. 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. How you can use Solr as an analytics platform to slice and aggregate your data. Using Solr as a key value store actually works reasonably well. Elastic search stores/retrieves objects via a REST API. Relevant Search: With examples using Elasticsearch and Solr [Doug Turnbull, John Berryman] on Amazon.com.