Ed Chi

376 Followers

34 SlideShares 376 Followers 214 Folgens

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.

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

Präsentationen
Dokumente
Infografiken

Aktuellste Beliebteste SlideShares

2017 10-10 (netflix ml platform meetup) learning item and user representations with sparse data in recommender systems (focused learning, factorized deep retrieval)

Vor 6 Jahren • 20300 Aufrufe

Ed Chi

CHI2007 talk on Conflicts in Wikipedia

Model-Driven Research in Social Computing

Tutorial on Using Amazon Mechanical Turk (MTurk) for HCI Research

Large Scale Social Analytics on Wikipedia, Delicious, and Twitter (presented at IBM NPUC 2010)

Crowdsourcing using MTurk for HCI research

Crowdsourcing for HCI Research with Amazon Mechanical Turk

2017 10-10 (netflix ml platform meetup) learning item and user representations with sparse data in recommender systems (focused learning, factorized deep retrieval)

Eddi: Topic Browsing of Twitter Streams

CHI2009 MrTaggy Tag-based Search Browser Intro and Evaluation

'Living Lab' for HCI - presentation made at HCI International 2009

CSCL 2011 Keynote on Social Computing and eLearning

Ed Chi's CHI2009 Conference Trip Report

Research on Social Dynamics in Wikipedia

Using Information Scent to Model Users in Web1.0 and Web2.0

Location and Language in Social Media (Stanford Mobi Social Invited Talk)

Zerozero88 Twitter URL Item Recommender

HCI Korea 2012 Keynote Talk on Model-Driven Research in Social Computing

Model-based Research in Human-Computer Interaction (HCI): Keynote at Mensch und Computer 2010

WikiSym 2011 Closing Keynote

Information Seeking with Social Signals: Anatomy of a Social Tag-based Exploratory Search Browser