Educational Activities in Cheminformatics at IU Gary Wiggins [email protected].
Chris Wiggins: "engagement & reality"
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Transcript of Chris Wiggins: "engagement & reality"
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1851 1996
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example:
millions of views per hour2015
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data science: the web
is your “online presence”
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data science: the web
is a microscope
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data science: the web
is an experimental tool
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data science: the web
is an optimization tool
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news: 20th century
church state
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news: 21st century
church state
engineering
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news: 21st century
church state
engineering
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supervised learning, e.g.,
“the funnel”innovation report, 2014
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interpreting supervised learningsu
per
cool
stu
ff
collaboration w/b. chen
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interpreting supervised learningsu
per
cool
stu
ff
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optimization & learning, e.g.,
popular mechanics, 2015
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getting to know the readers
daeil kim, cf. bit.ly/nyt-engagement
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audiences matter
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audiences matter
innovation report, 2014
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R.I.P. good times
this talk: bit.ly/nyt-engagement
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“a startup is a temporary organization in search of a repeatable and scalable business model” —Steve Blank
this talk: bit.ly/nyt-engagement
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every publisher is now a startup
this talk: bit.ly/nyt-engagement
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what else is there besides clicks?
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what else is there besides clicks?
this talk: bit.ly/nyt-engagement
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what else is there besides clicks?
this talk: bit.ly/nyt-engagement
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“engagement”: examples
if your biz model is clicks,engagement=clicks
if your biz model is sharing,engagement=sharing
if your biz model is time on page,engagement=time on page
if your biz model is subscription…?
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“engagement”: examples
if your biz model is clicks,engagement=clicks
if your biz model is sharing,engagement=sharing
if your biz model is time on page,engagement=time on page
if your biz model is subscription…?
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“engagement”: examples
if your biz model is clicks,engagement=clicks
if your biz model is sharing,engagement=sharing
if your biz model is time on page,engagement=time on page
if your biz model is subscription…?
![Page 27: Chris Wiggins: "engagement & reality"](https://reader034.fdocuments.in/reader034/viewer/2022042817/55a5da441a28abba6e8b47cc/html5/thumbnails/27.jpg)
“engagement”: examples
if your biz model is clicks,engagement=clicks
if your biz model is sharing,engagement=sharing
if your biz model is time on page,engagement=time on page
if your biz model is subscription…?
![Page 28: Chris Wiggins: "engagement & reality"](https://reader034.fdocuments.in/reader034/viewer/2022042817/55a5da441a28abba6e8b47cc/html5/thumbnails/28.jpg)
WWND?
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WWND?what would $NFLX do?
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from “data scientists @ work”
-Caitlin Smallwood VP, Science and Algorithms at Netflix
this talk: bit.ly/nyt-engagement
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from “data scientists @ work”
-Caitlin Smallwood VP, Science and Algorithms at Netflix
this talk: bit.ly/nyt-engagement
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WWND?if your biz model is subscription,machine learning can help:
Balance predictive power for true KPI (retention) with
1.interpretability2.should be
• easy to measure, • quick to measure, • or both
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ML can help!“engagement” is hard to define. you choose:
1.poetry 2.philosophy3.science
Wbinan of f2) which predicts 1)
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ML can help!“engagement” is hard to define. you choose:
1.poetry 2.philosophy3.science
WE CHOSE SCIENCE:• find 1) reality: KPI, preferably units of USD• find 2) interpretable and observable features• learn combination of 2) which predicts 1)