Personal Information
Entreprise/Lieu de travail
San Francisco Bay Area United States
Profession
High-Class Consultant
Secteur d’activité
Technology / Software / Internet
Site Web
linkedin.com/in/dtunkelang
À propos
How I got here:
- CS and Math at MIT, PhD in CS at CMU.
- Founding employee at Endeca.
- Led local search team at Google.
- Director of data science / engineering at LinkedIn.
- Wrote book on faceted search.
Today: full-time consultant / advisor. I help companies make decisions around algorithms, architecture, product strategy, hiring, and organizational structure.
Mots-clés
search
linkedin
hcir
endeca
information retrieval
search engines
data science
information
retrieval
query understanding
google
hci
machine learning
ir
enterprise
big data
recommender system
faceted
tunkelang
daniel
experimentation
search quality
library and information science
human-computer interaction
faceted search
social networks
semantic
relevance
mit
ecommerce
knowledge management
software
culture
organization
management
qcon
web science
economics
scientific method
measurement
search infrastructure
search architecture
lucene
cikm2013
linkedi
enterprise search
entity oriented search
personalization
cikm2012
recsys2012
recsys
semantic web
semi-structured data
samasource
crowdsourcing
explainability
transparency
social network
reputation
social media
twitter
authority
attention scarcity
influence
tunkrank
human computer interaction
databases
usability
analytics
text
navigation
exploratory
separate
tags
sspafces
wikipedia
informationretrieval
interaction
computer
human
microblogging
Tout plus
Présentations
(29)
Tout voir
J’aime
(17)
Tout voir
Using AI to understand search intent
Aritra Mandal
•
il y a 1 an
Tanvi Motwani, Lead Data Scientist, Guided Search at A9.com at MLconf ATL 2016
MLconf
•
il y a 6 ans
Adventures in Crowdsourcing: Research at UT Austin & Beyond
Matthew Lease
•
il y a 10 ans
OPEN Forum: Women Business Owners
Rashmi Sinha
•
il y a 10 ans
Scale, Structure, and Semantics
Daniel Tunkelang
•
il y a 11 ans
LinkedIn Tech Talk: The Accidental Chief Privacy Officer
Jim Adler
•
il y a 11 ans
Recommendations as a Conversation with the User
Daniel Tunkelang
•
il y a 11 ans
Keeping It Professional: Relevance, Recommendations, and Reputation at LinkedIn
Daniel Tunkelang
•
il y a 11 ans
Sequencing the Startup DNA - @mrogati's talk at StartupFest 2011
Monica Rogati
•
il y a 11 ans
The War on Attention Poverty: Measuring Twitter Authority
Daniel Tunkelang
•
il y a 12 ans
The Evolution of Social Search
Nitya Narasimhan
•
il y a 13 ans
Design for Interaction
Daniel Tunkelang
•
il y a 13 ans
Enabling Exploration Through Text Analytics
Daniel Tunkelang
•
il y a 14 ans
exploring semantic means
Daniel Tunkelang
•
il y a 14 ans
Set Retrieval 2.0
Daniel Tunkelang
•
il y a 14 ans
Guided Summarization
Daniel Tunkelang
•
il y a 14 ans
Is Search Broken?!
Daniel Tunkelang
•
il y a 15 ans
Présentations
(29)
Tout voir
J’aime
(17)
Tout voir
Using AI to understand search intent
Aritra Mandal
•
il y a 1 an
Tanvi Motwani, Lead Data Scientist, Guided Search at A9.com at MLconf ATL 2016
MLconf
•
il y a 6 ans
Adventures in Crowdsourcing: Research at UT Austin & Beyond
Matthew Lease
•
il y a 10 ans
OPEN Forum: Women Business Owners
Rashmi Sinha
•
il y a 10 ans
Scale, Structure, and Semantics
Daniel Tunkelang
•
il y a 11 ans
LinkedIn Tech Talk: The Accidental Chief Privacy Officer
Jim Adler
•
il y a 11 ans
Recommendations as a Conversation with the User
Daniel Tunkelang
•
il y a 11 ans
Keeping It Professional: Relevance, Recommendations, and Reputation at LinkedIn
Daniel Tunkelang
•
il y a 11 ans
Sequencing the Startup DNA - @mrogati's talk at StartupFest 2011
Monica Rogati
•
il y a 11 ans
The War on Attention Poverty: Measuring Twitter Authority
Daniel Tunkelang
•
il y a 12 ans
The Evolution of Social Search
Nitya Narasimhan
•
il y a 13 ans
Design for Interaction
Daniel Tunkelang
•
il y a 13 ans
Enabling Exploration Through Text Analytics
Daniel Tunkelang
•
il y a 14 ans
exploring semantic means
Daniel Tunkelang
•
il y a 14 ans
Set Retrieval 2.0
Daniel Tunkelang
•
il y a 14 ans
Guided Summarization
Daniel Tunkelang
•
il y a 14 ans
Is Search Broken?!
Daniel Tunkelang
•
il y a 15 ans
Personal Information
Entreprise/Lieu de travail
San Francisco Bay Area United States
Profession
High-Class Consultant
Secteur d’activité
Technology / Software / Internet
Site Web
linkedin.com/in/dtunkelang
À propos
How I got here:
- CS and Math at MIT, PhD in CS at CMU.
- Founding employee at Endeca.
- Led local search team at Google.
- Director of data science / engineering at LinkedIn.
- Wrote book on faceted search.
Today: full-time consultant / advisor. I help companies make decisions around algorithms, architecture, product strategy, hiring, and organizational structure.
Mots-clés
search
linkedin
hcir
endeca
information retrieval
search engines
data science
information
retrieval
query understanding
google
hci
machine learning
ir
enterprise
big data
recommender system
faceted
tunkelang
daniel
experimentation
search quality
library and information science
human-computer interaction
faceted search
social networks
semantic
relevance
mit
ecommerce
knowledge management
software
culture
organization
management
qcon
web science
economics
scientific method
measurement
search infrastructure
search architecture
lucene
cikm2013
linkedi
enterprise search
entity oriented search
personalization
cikm2012
recsys2012
recsys
semantic web
semi-structured data
samasource
crowdsourcing
explainability
transparency
social network
reputation
social media
twitter
authority
attention scarcity
influence
tunkrank
human computer interaction
databases
usability
analytics
text
navigation
exploratory
separate
tags
sspafces
wikipedia
informationretrieval
interaction
computer
human
microblogging
Tout plus