Personal Information
Organização/Local de trabalho
San Francisco Bay Area, CA United States
Cargo
Principal Scientist at Google
Setor
Technology / Software / Internet
Site
edchi.net
Sobre
Ed H. Chi is a Principal Scientist at Google, leading a machine learning research team focused on recommendation systems and social computing research. He has launched significant improvements of recommenders for YouTube, Google Play Store and Google+. With 39 patents and over 110 research articles, he is known for research on Web and online social systems, and the effects of social signals on user behavior.
Ed completed his three degrees (B.S., M.S., and Ph.D.) in 6.5 years from University of Minnesota, and has been doing research on software systems since 1993. Recognized as an ACM Distinguished Scientist, he has been featured and quoted in the press.
Marcadores
research
wikipedia
hci
asc
twitter
social
keynote
cognition
parc
mturk
social media
search
web2.0
crowd
dynamics
editorship
wisdom
social computing
2011
amazon
edchi
recommender
conference
web20
wikisym
design
chi2009
mrtaggy
evaluation
lab
augmented
web
tagging
wikidashboard
focused learning
deep retrieval
machine learning
ml platform
2012
korea
analytics
behavior
language
location
invited talk
sss
human computer interaction
aaai
mechanical turk
social stream
languages
usage
social annotation
elearning
education2.0
cscl
duplication
social sciences
replication
tutorial
user study
clustering
browser
browsing
client
topic
social analytics
data analytics
large scale
delicious
model-based
chi2010
passages
highlighting
index
iui
ebook
hcir
hypertext
msm2010
msm10
modeling
talk
acm
foraging
user modeling
infoscent
infoforaging
overview
workshop
social tagging
tagsearch
evolution
growth model
population analysis
editor activity
social community
wisdomofcrowd
shifts
dynamic
changes
2009
models
laboratories
ecological
methodology
method
paper
living
position
forum
feedback
relevance
tag-based
chi2007
conflict
Ver mais
Apresentações
(34)
Ver tudo
Gostaram
(45)
Ver tudo
Causality without headaches
Benoît Rostykus
•
Há 5 anos
[DSC 2016] 系列活動:李宏毅 / 一天搞懂深度學習
台灣資料科學年會
•
Há 7 anos
許永真/Crowd Computing for Big and Deep AI
台灣資料科學年會
•
Há 6 anos
"I like to explore sometimes": Adapting to Dynamic User Novelty Preferences
Vikas Kumar
•
Há 7 anos
Why would you recommend me THAT?
Aish Fenton
•
Há 7 anos
機器學習速遊
台灣資料科學年會
•
Há 7 anos
Lessons Learned from Building Machine Learning Software at Netflix
Justin Basilico
•
Há 8 anos
Recommendation at Netflix Scale
Justin Basilico
•
Há 9 anos
Social Cybersecurity, or, A Computer Scientist's View of HCI and Theory, at HCIC 2015
Jason Hong
•
Há 7 anos
Tips for Researchers
Ji Yi
•
Há 8 anos
Icebucket Challenge: The Cold Hard Facts and Stats #icebucketchallenge
Jeremiah Owyang
•
Há 8 anos
Data Science view of the KDD 2014
Jure Leskovec
•
Há 8 anos
Learning to Personalize
Justin Basilico
•
Há 8 anos
Privacy, Ethics, and Big (Smartphone) Data, at Mobisys 2014
Jason Hong
•
Há 8 anos
Introduction to Bayesian Truth Serum
Fuming Shih
•
Há 11 anos
Do Users Really Generate Content? Tips and Tools for Building Engaged Online Communities
Laura Norvig
•
Há 10 anos
Graduate Design Cultures Class Presentation 2012
Stacy Branham
•
Há 11 anos
Discovering and Navigating Memes in Social Media
Matthew Lease
•
Há 11 anos
Recommendations as a Conversation with the User
Daniel Tunkelang
•
Há 11 anos
4chan and /b/: An Analysis of Anonymity and Ephemerality in a Large Online Community
Michael Bernstein
•
Há 11 anos
RepliCHI: Graduate Student Perspectives
Michael Bernstein
•
Há 12 anos
Managing Crowdsourced Human Computation: A Tutorial
Panos Ipeirotis
•
Há 12 anos
Eddi: Interactive Topic-Based Browsing of Social Status Streams
Michael Bernstein
•
Há 12 anos
Soylent: A Word Processor with a Crowd Inside
Michael Bernstein
•
Há 12 anos
The Real Life Social Network v2
Paul Adams
•
Há 12 anos
Understand Your Customers' Social Behaviors
Charlene Li
•
Há 13 anos
Model-Driven Research in Social Computing
Ed Chi
•
Há 12 anos
Apresentações
(34)
Ver tudo
Gostaram
(45)
Ver tudo
Causality without headaches
Benoît Rostykus
•
Há 5 anos
[DSC 2016] 系列活動:李宏毅 / 一天搞懂深度學習
台灣資料科學年會
•
Há 7 anos
許永真/Crowd Computing for Big and Deep AI
台灣資料科學年會
•
Há 6 anos
"I like to explore sometimes": Adapting to Dynamic User Novelty Preferences
Vikas Kumar
•
Há 7 anos
Why would you recommend me THAT?
Aish Fenton
•
Há 7 anos
機器學習速遊
台灣資料科學年會
•
Há 7 anos
Lessons Learned from Building Machine Learning Software at Netflix
Justin Basilico
•
Há 8 anos
Recommendation at Netflix Scale
Justin Basilico
•
Há 9 anos
Social Cybersecurity, or, A Computer Scientist's View of HCI and Theory, at HCIC 2015
Jason Hong
•
Há 7 anos
Tips for Researchers
Ji Yi
•
Há 8 anos
Icebucket Challenge: The Cold Hard Facts and Stats #icebucketchallenge
Jeremiah Owyang
•
Há 8 anos
Data Science view of the KDD 2014
Jure Leskovec
•
Há 8 anos
Learning to Personalize
Justin Basilico
•
Há 8 anos
Privacy, Ethics, and Big (Smartphone) Data, at Mobisys 2014
Jason Hong
•
Há 8 anos
Introduction to Bayesian Truth Serum
Fuming Shih
•
Há 11 anos
Do Users Really Generate Content? Tips and Tools for Building Engaged Online Communities
Laura Norvig
•
Há 10 anos
Graduate Design Cultures Class Presentation 2012
Stacy Branham
•
Há 11 anos
Discovering and Navigating Memes in Social Media
Matthew Lease
•
Há 11 anos
Recommendations as a Conversation with the User
Daniel Tunkelang
•
Há 11 anos
4chan and /b/: An Analysis of Anonymity and Ephemerality in a Large Online Community
Michael Bernstein
•
Há 11 anos
RepliCHI: Graduate Student Perspectives
Michael Bernstein
•
Há 12 anos
Managing Crowdsourced Human Computation: A Tutorial
Panos Ipeirotis
•
Há 12 anos
Eddi: Interactive Topic-Based Browsing of Social Status Streams
Michael Bernstein
•
Há 12 anos
Soylent: A Word Processor with a Crowd Inside
Michael Bernstein
•
Há 12 anos
The Real Life Social Network v2
Paul Adams
•
Há 12 anos
Understand Your Customers' Social Behaviors
Charlene Li
•
Há 13 anos
Model-Driven Research in Social Computing
Ed Chi
•
Há 12 anos
Personal Information
Organização/Local de trabalho
San Francisco Bay Area, CA United States
Cargo
Principal Scientist at Google
Setor
Technology / Software / Internet
Site
edchi.net
Sobre
Ed H. Chi is a Principal Scientist at Google, leading a machine learning research team focused on recommendation systems and social computing research. He has launched significant improvements of recommenders for YouTube, Google Play Store and Google+. With 39 patents and over 110 research articles, he is known for research on Web and online social systems, and the effects of social signals on user behavior.
Ed completed his three degrees (B.S., M.S., and Ph.D.) in 6.5 years from University of Minnesota, and has been doing research on software systems since 1993. Recognized as an ACM Distinguished Scientist, he has been featured and quoted in the press.
Marcadores
research
wikipedia
hci
asc
twitter
social
keynote
cognition
parc
mturk
social media
search
web2.0
crowd
dynamics
editorship
wisdom
social computing
2011
amazon
edchi
recommender
conference
web20
wikisym
design
chi2009
mrtaggy
evaluation
lab
augmented
web
tagging
wikidashboard
focused learning
deep retrieval
machine learning
ml platform
2012
korea
analytics
behavior
language
location
invited talk
sss
human computer interaction
aaai
mechanical turk
social stream
languages
usage
social annotation
elearning
education2.0
cscl
duplication
social sciences
replication
tutorial
user study
clustering
browser
browsing
client
topic
social analytics
data analytics
large scale
delicious
model-based
chi2010
passages
highlighting
index
iui
ebook
hcir
hypertext
msm2010
msm10
modeling
talk
acm
foraging
user modeling
infoscent
infoforaging
overview
workshop
social tagging
tagsearch
evolution
growth model
population analysis
editor activity
social community
wisdomofcrowd
shifts
dynamic
changes
2009
models
laboratories
ecological
methodology
method
paper
living
position
forum
feedback
relevance
tag-based
chi2007
conflict
Ver mais