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=== Wednesday, 30.04.14 14.15 MAR4033 ===
 * ''' Tillmann Fiehn'''
(Chair: Alexander Bauer)

----
== Planned Talks ==
=== Wednesday, 07.05.14 14.15 MAR4033 ===
 * ''' Sven Dähne'''
 * ''' Wiktor Pronobis'''
(Chair: Guido Schwenk)
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 * ''' Sara Atito'''
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----
== Planned Talks ==
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 * ''' Guido Schwenk'''  * ''' Danny Panknin'''
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 * ''' Alexander Bauer'''
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 * ''' Guilhelm Simons (job talk)'''
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 * ''' Alexander Bauer'''
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 * ''' Anne Porbadnigk'''  * ''' Owen Falzon (guest)'''
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 * ''' Sven Dähne'''
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 * ''' Danny Panknin'''  * ''' Anne Porbadnigk'''
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=== Wednesday, 07.05.14 14.15 MAR4033 ===
 * ''' Wiktor Pronobis'''
(Chair: Guido Schwenk)

=== Wednesday, 30.04.14 14.15 MAR4033 ===
 * ''' Tillmann Fiehn'''
(Chair: Mikio Braun)

==== Customer journey attribution with model based attributable risk ====

The efficiency of marketing investments is of high interest. However it is very
difficult to be measured due to the split of marketing investments into multiple
channels with different performance measures. Multi-touch attribution addresses
performance based compensation to multiple channels with respect to the contribution to conversions.

Click streams across multiple channels and conversion events, e.g. purchases, are called customer journeys. A logistic regression model that reflects both performance of touch points (e.g. clicks) and temporal relation to other touch points is fit to a sample of customer journeys. The probability estimates are used for the estimation of attributable risk for channels / a channel. That is:"the fraction of conversions that would not have been concluded if a channel / some channels did not serve ads".

Doktoranden-/Diplomandenseminar SS 14

In this seminar, master/phd students of the IDA group present their current work and research ideas.

When?

usually on Wednesdays, 2:15pm to 3:15pm, or as announced (see below)

Where?

at TU Berlin , MAR 4005, or as announced (see below)

How?

More information for speakers and participants here.


Next Talk

Wednesday, 14.05.14 14.15 MAR4033

  • Sara Atito

  • Forooz Shahbazi Avarvand

  • Jan Saputra Müller

(Chair: Sebastian Bach)


Planned Talks

Wednesday, 21.05.14 14.15 MAR4033

  • Jacquelyn Shelton

  • Irene Winkler

(Chair: Wiktor Pronobis)

Wednesday, 28.05.14 14.15 MAR4033

  • Danny Panknin

  • Matthias Schultze-Kraft

(Chair: Felix Brockherde)

Wednesday, 04.06.14 14.15 MAR4033

  • Kristof Schütt

  • Guilhelm Simons (job talk)

(Chair: Nico Görnitz)

Wednesday, 11.06.14 14.15 MAR4033

  • Daniel Bartz

  • Bastian Venthur

  • Alexander Bauer

(Chair: Matthias Schultze-Kraft)

Wednesday, 18.06.14 14.15 MAR4033

  • Fatemeh Ali Mardani

  • Owen Falzon (guest)

(Chair: Laura Acqualagna)

Wednesday, 25.06.14 14.15 MAR4033

  • Markus Wenzel

  • Sebastian Bach

(Chair: Kristof Schütt)

Wednesday, 02.07.14 14.15 MAR4033

  • Laura Acqualagna

  • Johannes Höhne

(Chair: Daniel Bartz)

Wednesday, 09.07.14 14.15 MAR4033

  • Felix Brockherde

  • Irene Sturm

  • Sven Dähne

(Chair: Irene Winkler)

Wednesday, 16.07.14 14.15 MAR4033

  • Duncan Blythe

  • Nico Görnitz

  • Anne Porbadnigk

(Chair: Johannes Höhne)


Previous Talks

Wednesday, 07.05.14 14.15 MAR4033

  • Wiktor Pronobis

(Chair: Guido Schwenk)

Wednesday, 30.04.14 14.15 MAR4033

  • Tillmann Fiehn

(Chair: Mikio Braun)

Customer journey attribution with model based attributable risk

The efficiency of marketing investments is of high interest. However it is very difficult to be measured due to the split of marketing investments into multiple channels with different performance measures. Multi-touch attribution addresses performance based compensation to multiple channels with respect to the contribution to conversions.

Click streams across multiple channels and conversion events, e.g. purchases, are called customer journeys. A logistic regression model that reflects both performance of touch points (e.g. clicks) and temporal relation to other touch points is fit to a sample of customer journeys. The probability estimates are used for the estimation of attributable risk for channels / a channel. That is:"the fraction of conversions that would not have been concluded if a channel / some channels did not serve ads".

-- Wojciech Samek -- Jul 2013

IDA Wiki: Main/DoktorandenSeminarSS14 (last edited 2014-07-30 11:54:12 by WojciechWojcikiewicz)