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Probabilistic Deduplication of Anonymous Web Traffic

Authors:

Rishiraj Saha Roy,

Ritwik Sinha,

Niyati Chhaya,

Shiv SainiAuthors Info & Claims

WWW '15 Companion: Proceedings of the 24th International Conference on World Wide Web

Pages 103 - 104

https://doi.org/10.1145/2740908.2742750

Published: 18 May 2015 Publication History

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Abstract

Cookies and log in-based authentication often provide incomplete data for stitching website visitors across multiple sources, necessitating probabilistic deduplication. We address this challenge by formulating the problem as a binary classification task for pairs of anonymous visitors. We compute visitor proximity vectors by converting categorical variables like IP addresses, product search keywords and URLs with very high cardinalities to continuous numeric variables using the Jaccard coefficient for each attribute. Our method achieves about 90% AUC and F-scores in identifying whether two cookies map to the same visitor, while providing insights on the relative importance of available features in Web analytics towards the deduplication process.

References

[1]

A. Dasgupta, M. Gurevich, L. Zhang, B. Tseng, and A. O. Thomas. Overcoming browser cookie churn with clustering. In WSDM '12, pages 83--92, 2012.

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[2]

P. Eckersley. How unique is your web browser? In Privacy Enhancing Technologies, volume 6205 of LNCS, pages 1--18. Springer, 2010.

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Cited By

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Shankar SSinha RFiterau MSalakhutdinov RKolter ZHeller KWeller AOliver NScarlett JBerkenkamp F(2024)On online experimentation without device identifiersProceedings of the 41st International Conference on Machine Learning10.5555/3692070.3693877(44394-44412)Online publication date: 21-Jul-2024
https://dl.acm.org/doi/10.5555/3692070.3693877
Shekhar SPai DRavindran S(2020)Entity Resolution in Dynamic Heterogeneous NetworksCompanion Proceedings of the Web Conference 202010.1145/3366424.3391264(662-668)Online publication date: 20-Apr-2020
https://dl.acm.org/doi/10.1145/3366424.3391264
Jin DHeimann MRossi RKoutra D(2019)node2bits: Compact Time- and Attribute-Aware Node Representations for User StitchingMachine Learning and Knowledge Discovery in Databases10.1007/978-3-030-46150-8_29(483-506)Online publication date: 16-Sep-2019
https://dl.acm.org/doi/10.1007/978-3-030-46150-8_29
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Index Terms

Probabilistic Deduplication of Anonymous Web Traffic
1. Information systems
  1. World Wide Web
    1. Web applications
    2. Web services

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Published In

WWW '15 Companion: Proceedings of the 24th International Conference on World Wide Web

May 2015

1602 pages

ISBN:9781450334730

DOI:10.1145/2740908

General Chairs:
Aldo Gangemi
National Research Council, Italy & Paris 13 University-CNRS, France
,
Stefano Leonardi
Sapienza University of Rome, Italy
,
Alessandro Panconesi
Sapienza University of Rome, Italy

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web

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Association for Computing Machinery

New York, NY, United States

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Published: 18 May 2015

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WWW '15

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IW3C2

WWW '15: 24th International World Wide Web Conference

May 18 - 22, 2015

Florence, Italy

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Overall Acceptance Rate 1,899 of 8,196 submissions, 23%

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Shankar SSinha RFiterau MSalakhutdinov RKolter ZHeller KWeller AOliver NScarlett JBerkenkamp F(2024)On online experimentation without device identifiersProceedings of the 41st International Conference on Machine Learning10.5555/3692070.3693877(44394-44412)Online publication date: 21-Jul-2024
https://dl.acm.org/doi/10.5555/3692070.3693877
Shekhar SPai DRavindran S(2020)Entity Resolution in Dynamic Heterogeneous NetworksCompanion Proceedings of the Web Conference 202010.1145/3366424.3391264(662-668)Online publication date: 20-Apr-2020
https://dl.acm.org/doi/10.1145/3366424.3391264
Jin DHeimann MRossi RKoutra D(2019)node2bits: Compact Time- and Attribute-Aware Node Representations for User StitchingMachine Learning and Knowledge Discovery in Databases10.1007/978-3-030-46150-8_29(483-506)Online publication date: 16-Sep-2019
https://dl.acm.org/doi/10.1007/978-3-030-46150-8_29
Kim SKini NPujara JKoh EGetoor LBarrett RCummings RAgichtein EGabrilovich E(2017)Probabilistic Visitor Stitching on Cross-Device Web LogsProceedings of the 26th International Conference on World Wide Web10.1145/3038912.3052711(1581-1589)Online publication date: 3-Apr-2017
https://dl.acm.org/doi/10.1145/3038912.3052711
Sinha RMehta SBohra TKrishnan A(2015)Improving Marketing Interactions by Mining SequencesProceedings, Part I, of the 16th International Conference on Web Information Systems Engineering --- WISE 2015 - Volume 941810.1007/978-3-319-26190-4_19(277-292)Online publication date: 1-Nov-2015
https://dl.acm.org/doi/10.1007/978-3-319-26190-4_19

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Web metrics for managing quality and auditing Croatian hotel web sites: cluster analysis

Web Crawlers on a Health Related Portal: Detection, Characterisation and Implications

Semantic analysis of web site audience

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