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Thursday, October 18 • 2:05pm - 2:45pm
Entity Extraction for Product Searches

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A user looking for “awesome smartphone 2018” is likely really after “+review:awesome +category:smartphone +release_date:2018”. A clever use of (e)dismax might get us pretty close to where we want, but it’s not real query understanding. There are other ways, of course, like training a model that will, based on the keyword, guess which field it’s looking into. In this session, we’ll discuss some of the ways, their pros and cons and how you’d implement them on top of Solr. We’ll specifically look into existing open-source tools that you can re-use in order to build such a system.

avatar for Radu Gheorghe

Radu Gheorghe

Search Consultant & Software Engineer, Sematext Group, Inc.
Radu Gheorghe is a search consultant, software engineer and trainer at Sematext, working mainly with Solr, Elasticsearch and logging-related projects.
avatar for Rafał Kuć

Rafał Kuć

Software Engineer, Sematext Group, Inc.
Rafał, in his professional life is a Sematext trainer, consultant and a software engineer, http://solr.pl co-founder and the Solr Cookbook and Elasticsearch Server books author. In his personal life Rafał is a father and a husband.

Thursday October 18, 2018 2:05pm - 2:45pm EDT
Salon 4&5