Ed Chi
376
Abonné
Personal Information
Entreprise/Lieu de travail
San Francisco Bay Area, CA United States
Profession
Principal Scientist at Google
Secteur d’activité
Technology / Software / Internet
Site Web
edchi.net
À propos
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.
Mots-clés
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
Tout plus
- Présentations
- Documents
- Infographies
Death by PowerPoint
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[DSC 2016] 系列活動:李宏毅 / 一天搞懂深度學習
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The Real Life Social Network v2
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What the F**K is Social Media: One Year Later
The Espresso Group
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Icebucket Challenge: The Cold Hard Facts and Stats #icebucketchallenge
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Learning jQuery in 30 minutes
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Understand Your Customers' Social Behaviors
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The Science Of ReTweets
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•
il y a 14 ans
Recommendations as a Conversation with the User
Daniel Tunkelang
•
il y a 12 ans
Recommendation at Netflix Scale
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il y a 10 ans
機器學習速遊
台灣資料科學年會
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Government 2.0: architecting for collaboration
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Data Science view of the KDD 2014
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Lessons Learned from Building Machine Learning Software at Netflix
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Introduction to Bayesian Truth Serum
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Dynamics Of Wikipedia
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•
il y a 16 ans
Towards a Model of Understanding Social Search
Brynn Evans
•
il y a 15 ans
A Re-Introduction to JavaScript
Simon Willison
•
il y a 16 ans
Managing Crowdsourced Human Computation: A Tutorial
Panos Ipeirotis
•
il y a 13 ans
4chan and /b/: An Analysis of Anonymity and Ephemerality in a Large Online Community
Michael Bernstein
•
il y a 12 ans