Personal Information
Organization / Workplace
Greater Atlanta Area United States
Occupation
Chief Algorithms Officer
Industry
Technology / Software / Internet
Website
www.treygrainger.com
About
Trey is the Chief Algorithms Officer at Lucidworks, where he drives vision and practical application of intelligent data science algorithms to power relevant search experiences for hundreds of the worlds biggest and brightest organizations. Trey previously served as SVP of Engineering at Lucidworks and as the Director of Engineering for Search & Recommendations at CareerBuilder.
Trey is also author of the books "AI-powered Search" and "Solr in Action", the comprehensive example-driven guide to Apache Solr. Trey received his MBA in Management of Technology from Georgia Tech, studied Computer Science, Business, and Philosophy at Furman University, and studied Search at Stanford University.
Tags
apache solr
semantic search
semantic knowledge graph
solr
lucidworks
careerbuilder
relevancy
lucene
machine learning
natural language processing
entity extraction
reflected intelligence
knowledge graphs
recommendation engine
collaborative filtering
apache lucene
learning to rank
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probabilistic query parsing
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search engine
ontology mining
query disambiguation
recommendations
big data
trey grainger
concept expansion
text analysis
contextual disambiguation
machine-learned ranking
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query intent
knowledge graph
finite state transducer
data analytics
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anomaly detection
significant terms
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linguistics
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bm25
apache spark
relevancy tuning
keyword search
similarity search
inverted index
intent engine
bayes theorem
augmented search
multilingual search
hadoop
personalized search
faceting
clustering
search
knowledge discovery
relevance engineering
natural language search
query expansion
statistically interesting phrases
misspelling detection
synonym detection
search relevance
data cleansing
content-based recommender
graph database
graph theory
text search
relevancy ranking
intent algorithms
tf-idf
query logs
signals
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smart data
multilingual
log mining
graph
data analysis
south bd hub
text data analysis
recsys
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relationship scoring
probabilistic graphical model
graph traversal
query log mining
ontologies
disambiguation
probabilistic parsing
language detection
solr in action
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lemmatization
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ieee
jargon
pmi
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facets
supply and demand
pivot faceting
hierarchical faceting
nested facets
visualization
labor pressure
statistics
radius
percentiles
cloud
analytics
spam
nlp
java
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Presentations
(32)Likes
(2)Apache UIMA and Semantic Search
Tommaso Teofili
•
14 years ago
Site Search Analytics in a Nutshell
Louis Rosenfeld
•
13 years ago
Personal Information
Organization / Workplace
Greater Atlanta Area United States
Occupation
Chief Algorithms Officer
Industry
Technology / Software / Internet
Website
www.treygrainger.com
About
Trey is the Chief Algorithms Officer at Lucidworks, where he drives vision and practical application of intelligent data science algorithms to power relevant search experiences for hundreds of the worlds biggest and brightest organizations. Trey previously served as SVP of Engineering at Lucidworks and as the Director of Engineering for Search & Recommendations at CareerBuilder.
Trey is also author of the books "AI-powered Search" and "Solr in Action", the comprehensive example-driven guide to Apache Solr. Trey received his MBA in Management of Technology from Georgia Tech, studied Computer Science, Business, and Philosophy at Furman University, and studied Search at Stanford University.
Tags
apache solr
semantic search
semantic knowledge graph
solr
lucidworks
careerbuilder
relevancy
lucene
machine learning
natural language processing
entity extraction
reflected intelligence
knowledge graphs
recommendation engine
collaborative filtering
apache lucene
learning to rank
recommendation system
probabilistic query parsing
lucidworks fusion
search engine
ontology mining
query disambiguation
recommendations
big data
trey grainger
concept expansion
text analysis
contextual disambiguation
machine-learned ranking
semantic query parsing
query intent
knowledge graph
finite state transducer
data analytics
data mining
information retrieval
statistical phrase identifier
solr text tagger
haystack
anomaly detection
significant terms
conceptual search
linguistics
document summarization
bm25
apache spark
relevancy tuning
keyword search
similarity search
inverted index
intent engine
bayes theorem
augmented search
multilingual search
hadoop
personalized search
faceting
clustering
search
knowledge discovery
relevance engineering
natural language search
query expansion
statistically interesting phrases
misspelling detection
synonym detection
search relevance
data cleansing
content-based recommender
graph database
graph theory
text search
relevancy ranking
intent algorithms
tf-idf
query logs
signals
streaming expressions
smart data
multilingual
log mining
graph
data analysis
south bd hub
text data analysis
recsys
graph analytics
relationship scoring
probabilistic graphical model
graph traversal
query log mining
ontologies
disambiguation
probabilistic parsing
language detection
solr in action
stemming
lemmatization
fst
reflective intelligence
ieee
jargon
pmi
pointwise mutual information
domain-specific
crowd sourced
atlanta solr meetup
pivot facets
solr meetup
personalization
geo-spatial
facets
supply and demand
pivot faceting
hierarchical faceting
nested facets
visualization
labor pressure
statistics
radius
percentiles
cloud
analytics
spam
nlp
java
See more