Query Suggestions with Lucene

Track: 
search
Speaker(s): 
Robert Muir, Simon Willnauer

Query suggestions are a key component of nearly all search applications. Google has set a high bar for user expectations: so how can you make your application deliver?

A major advantage of Lucene-based search solutions is the ability to tailor the search behavior to meet your specific application needs... how can you do the same with query suggestions?

This talk will introduce Lucene's suggester implementations and how to use their features efficiently. We will walk through pitfalls, real world experiences and running applications serving large amounts of suggestions. This is a "must attend" if you wanna work with suggestions.

About the speaker: 
Robert Muir is a Lucene/Solr PMC Member and Committer. He earned his BS in Computer Science from Radford University and a MS in Computer Science from Johns Hopkins University. He currently works for A9.com. ######################################################################################## Simon Willnauer is a Apache Lucene core committer and Apache Software Foundation Member. He has been a Apache Lucene committer since 2006 and has contributed to several other open source projects within and outside the Apache Software Foundation. During the last couple of years he led the design and implementation of numerous scalable software systems and search infrastructures. His main interests are performance optimizations and concurrency. Simon is also a co-founder of ElasticSearch Inc. as well as of the highly regarded BerlinBuzzwords conference on Scalability in Berlin (Germany).
Slides: 
application/pdf iconQuery_Suggestions_with_Lucene.pdf

Schedule info

Time slot: 
4 June 14:45 - 15:30
Room: 
Kesselhaus