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Beitrag in Tagungsband, Workshop


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Author, Editor

Author(s):

Kammenhuber, Nils
Luxenburger, Julia
Feldmann, Anja
Weikum, Gerhard

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Not MPG Author(s):

Kammenhuber, Nils
Feldmann, Anja

Editor(s):

Almeida, Jussara M.
Almeida, Virgílio A. F.
Barford, Paul

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Not MPII Editor(s):

Almeida, Jussara M.
Almeida, Virgílio A. F.
Barford, Paul

BibTeX cite key*:

KaIMC06

Title, Booktitle

Title*:

Web Search Clickstreams

Booktitle*:

Proceedings of the 6th ACM SIGCOMM on Internet measurement (IMC '06)

Event, URLs

URL of the conference:

http://www.imconf.net/imc-2006/

URL for downloading the paper:

http://delivery.acm.org/10.1145/1180000/1177110/p245-kammenhuber.pdf?key1=1177110&key2=4206201711&coll=GUIDE&dl=GUIDE&CFID=10987859&CFTOKEN=25463520

Event Address*:

Rio de Janeiro, Brazil

Language:

English

Event Date*
(no longer used):


Organization:


Event Start Date:

25 October 2006

Event End Date:

27 October 2006

Publisher

Name*:

ACM

URL:


Address*:

New York, USA

Type:


Vol, No, Year, pp.

Series:


Volume:


Number:


Month:


Pages:

245-250

Year*:

2006

VG Wort Pages:

32

ISBN/ISSN:

1-59593-561-4

Sequence Number:


DOI:




Note, Abstract, ©


(LaTeX) Abstract:

Search engines are a vital part of the Web and thus the Internet infrastructure. Therefore understanding the behavior of users searching the Web gives insights into trends, and enables enhancements of future search capabilities. Possible data sources for studying Web search behavior are either server-side logs or client-side logs. Unfortunately, current server-side logs are hard to obtain as they are considered proprietary by the search engine operators. Therefore we in this paper present a methodology for extracting client-side logs from the traffic exchanged between a large user group and the Internet. The added benefit of our methodology is that we do not only extract the search terms, the query sequences, and search results of each individual user but also the full \textit{clickstrea}, i.e., the result pages users view and the subsequently visited hyperlinked pages. We propose a finite-state Markov model that captures the user web searching and browsing behavior and allows us to deduce users' prevalent search patterns. To our knowledge, this is the first such detailed client-side analysis of clickstreams.

URL for the Abstract:

http://doi.acm.org/10.1145/1177080.1177110



Download
Access Level:

Internal

Correlation

MPG Unit:

Max-Planck-Institut für Informatik



MPG Subunit:

Databases and Information Systems Group

Audience:

Expert

Appearance:

MPII WWW Server, MPII FTP Server, MPG publications list, university publications list, working group publication list, Fachbeirat, VG Wort



BibTeX Entry:

@INPROCEEDINGS{KaIMC06,
AUTHOR = {Kammenhuber, Nils and Luxenburger, Julia and Feldmann, Anja and Weikum, Gerhard},
EDITOR = {Almeida, Jussara M. and Almeida, Virg{\'i}lio A. F. and Barford, Paul},
TITLE = {Web Search Clickstreams},
BOOKTITLE = {Proceedings of the 6th ACM SIGCOMM on Internet measurement (IMC '06)},
PUBLISHER = {ACM},
YEAR = {2006},
PAGES = {245--250},
ADDRESS = {Rio de Janeiro, Brazil},
ISBN = {1-59593-561-4},
}


Entry last modified by Adriana Davidescu, 07/20/2007
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Editor(s)
Adriana Davidescu
Created
01/17/2007 02:16:12 PM
Revisions
6.
5.
4.
3.
2.
Editor(s)
Adriana Davidescu
Uwe Brahm
Christine Kiesel
Christine Kiesel
Christine Kiesel
Edit Dates
20.07.2007 17:06:12
2007-04-27 14:15:48
09.02.2007 14:05:13
09.02.2007 14:03:12
09.02.2007 14:03:04