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Author, Editor

Author(s):

Pölitz, Christian
Schenkel, Ralf

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Editor(s):





BibTeX cite key*:

PoelitzSchenkel_LWA2012

Title, Conference

Title*:

Live Clickstream Mining

Booktitle*:

Workshop on Knowledge Discovery, Data Mining and Machine Learning (KDML) at LWA 2012

Event Address*:

Dortmund

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Event Start Date:

12 September 2012

Event End Date:

14 September 2012

Language:

English

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This proceedings has no publisher!

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.

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Vol, No, pp., Year

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Year*:

2012

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(LaTeX) Abstract:

Search engines collect large amounts of feedback
data from their users. Usually this information
is logged and later on used for instance for improving
their search results. We propose to directly
monitor and use the live feedback from
the users. By this we can capture the dynamic
and time depending relevance distribution of the
users directly. We explain how to collect and use
feedback from search engine users live for the
training of a (re)ranking model. On a large query
log from a commercial search engine and a click
model, we perform an extensive evaluation that
shows the benefits of such an approach.

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Public

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MPG Unit:

Max-Planck-Institut für Informatik



MPG Subunit:

Databases and Information Systems Group

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BibTeX Entry:
@INPROCEEDINGS{PoelitzSchenkel_LWA2012,
AUTHOR = {P{\"o}litz, Christian and Schenkel, Ralf},
TITLE = {Live Clickstream Mining},
BOOKTITLE = {Workshop on Knowledge Discovery, Data Mining and Machine Learning (KDML) at LWA 2012},
YEAR = {2012},
ADDRESS = {Dortmund},
}


Entry last modified by Stephanie Müller, 05/22/2014
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Editor(s)
Ralf Schenkel
Created
08/14/2012 05:37:30 PM
Revisions
3.
2.
1.
0.
Editor(s)
Stephanie Müller
Anja Becker
Anja Becker
Ralf Schenkel
Edit Dates
22.05.2014 15:24:57
04.04.2013 16:13:07
06.03.2013 15:31:01
14.08.2012 17:37:30
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