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A talk given at the JJTV Tools Night #3 on September 5, 2012: http://www.meetup.com/jjtv-il/events/77834332/
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Introduction to Search Engineswith Lucene and ElasticSearch
Tomer Gabel, newBrandAnalytics
Overture
A search engine is…
a document store
Overture
Step 1
Tokenization
Overture
Step 2
Filtering
Overture
Step 3
Build reverse index
Overture
• Term query– Maps a term to its
document– Scoring is based
on:• Number of hits per
document (TF)• How “strong” a
match is (IDF)
Overture
• Boolean query–Multiple clauses–Each match can:
• Include document (MUST)
• Affect score (SHOULD)
• Exclude document (MUST_NOT)
Overture
• Phrase query–All terms must
appear near each other
–Slop is the maximum token “edit distance”
–Closer match = higher score
It’s demo time.
Recitativo
It’s demo time.
Crescendo
Content: Apache Lucene: http://lucene.apache.org/ Elastic Search: http://www.elasticsearch.org/ Code samples:https
://github.com/holograph/examples/tree/master/lucene-demo
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Thank you for your time! [email protected] http://www.tomergabel.com
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