Trey Grainger discusses the next generation of AI-powered search. He covers many techniques used in modern search systems including signals boosting, learning to rank, semantic search, collaborative filtering, personalized search, and neural search. Grainger also discusses using knowledge graphs, domain modeling, multimodal learning, and thought vectors to power conceptual scoring and merged content understanding.
14. Proudly built with open-source
tech at its core: Apache Solr &
Apache Spark
Personalizes search
with applied
machine learning
Proven on the
world’s biggest
information systems
18. Watson: “You appeared to [see a good deal] which was quite invisible to
me”
Sherlock: “Not invisible but unnoticed, Watson. You did not know
where to look, and so you missed all that was important.”The Adventures of Sherlock Holmes, ADVENTURE III. A CASE OF IDENTITY, Sir. Oliver
19. Head?
Nose?
Abstract Concept of
Detective with Pipe
Specific hypothesis from Experience (leveraging social cue that this is probably a well-known
Final Answer + conceptual context
47. Learned Knowledge Graphs
Trey Grainger works for Lucidworks.
He is speaking at the Activate 2019
conference.
#Activate19
(Activate) is being held in Washington, DC
September 9-12, 2019.
Trey got his masters degree from
Georgia Tech.
Trey’s Voicemail
48. Learned Knowledge Graphs
Trey Grainger works for Lucidworks.
He is speaking at the Activate 2019
conference.
#Activate19
(Activate) is being held in Washington, DC
September 9-12, 2019.
Trey got his masters degree from
Georgia Tech.
Trey’s Voicemail