rinko - towards a rubust modeling of temporal interest change for behavioral targeting
TRANSCRIPT
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Towards a Robust Modeling of Temporal Interest Change Patterns for Behavioral Targeting
Mohamed Aly(Seeloz Inc.), Sandeep Pandey(Twitter),
Vanja Josifovski(Google), Kunal Punera(Relate IQ)
WWW2013
Presented by Annaka 2013-11-07
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Summary
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SVMWEB
(i)(ii)
conversion/email/
conversion()4%
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Summary
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SVMWEB
(i)(ii)
conversion/email/
conversion()4%
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Outline
1. / WEB
2. 3 + 4
3.
4.
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focus
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Outline
1. / WEB
2. 3 + 6
3.
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() [19th ~ ]
SVMWEB[2000~]
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WEB
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SVMWEB[2000]
frequencyintensityrecency
absolute-long-termabsolute-short-termrelative-long-term-positiverelative-long-term-negativerelative-short-term-positiverelative-short-term-negative
6
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Outline
1. / WEB
2. 3 + 6
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3 + 4
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P1 P2 P3
1
2
3
click etc
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3 + 4
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FrequencyX
Decayed-intensityX
RecencyX
3
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3 + 4
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- Fr
equency
2p 4q
d
ecayed intensity
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Recency
()
()
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3 + 4
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absolute-long-term
absolute-short-term
relative-long-term
relative-short-term
4
-
3 + 6
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pi
pi
absolute-long-term6
-
3 + 6
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absolute-short-term6
Pi
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3 + 6
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relative-long-term-positive6
negative
i[/day]
i[/day]
(i) /i
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3 + 6
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relative-short-term-positive6
negative
1i[/day]
(i) / (i)
2i[/day]
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Outline
1. / WEB
2. 3 + 6
3.
4.
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58282005283.4 66%33%
conversion-weighted average of AUC
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20
33 P
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Outline
1. / WEB
2. 3 + 6
3.
4.
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33
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P=14[day]
P
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2 twitter