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Haystack US 2019
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o19s
21 videos
1,717 views
Last updated on May 17, 2019
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Keynote: What is Search Relevance? - Max Irwin
by
o19s
o19s
26:41
Rated Ranking Evaluator: Open Source Approach for Search Quality Evaluation - Alessandro Benedetti
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o19s
o19s
47:09
Ontology and Oncology: NLP for Precision Medicine - Sean Mullane
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o19s
47:59
Making the case for human judgement relevance testing - Tara Diedrichsen and Tito Sierra
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o19s
46:02
Autocomplete as Relevancy - Rimple Shah
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o19s
43:18
Towards a Learning To Rank Ecosystem @ Snag - Xun Wang
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o19s
35:56
Query relaxation - a rewriting technique between search and recommendations - Rene Kriegler
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o19s
42:35
Evolution of Yelp search to a generalized ranking platform - Umesh Dangat
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o19s
39:26
Beyond The Search Engine: Improving Relevancy through Query Expansion - Taylor Rose
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o19s
o19s
32:55
Addressing variance in AB tests: Interleaved evaluation of rankers - Erik Bernhardson
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42:52
How The New York Times Tackles Relevance - Jeremiah Via
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44:00
Solving for Satisfaction: Introduction to Click Models - Elizabeth Haubert
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44:50
Establishing a relevance focused culture in a large organization - Tom Burgmans
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43:46
Custom Solr Query Parser Design Option, and Pros & Cons - Bertrand Rigaldies
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50:33
Architectural considerations on search relevancy in the context of e-commerce - Johannes Peter
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o19s
32:02
Improving Search Relevance with Numeric Features in Elasticsearch - Mayya Sharipova
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28:05
Search Logs + Machine Learning = Auto-Tagging Inventory - John Berryman
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46:15
Natural Language Search with Knowledge Graphs - Trey Grainger
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49:38
Search with Vectors - Simon Hughes
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47:38
Search-based recommendations at Politico - Ryan Kohl
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o19s
33:35
Learning to Rank Panel
by
o19s
o19s
44:22
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