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Longitudinal Navigation Log Data on a Large Web Domain

Authors:

Suzan Verberne,

Bram Arends,

Wessel Kraaij,

Arjen de VriesAuthors Info & Claims

SIGIR '16: Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval

Pages 697 - 700

https://doi.org/10.1145/2911451.2914667

Published: 07 July 2016 Publication History

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Abstract

We have collected the access logs for our university's web domain over a time span of 4.5 years. We now release the pre-processed data of a 3-month period for research into user navigation behavior. We preprocessed the data so that only successful GET requests of web pages by non-bot users are kept. The resulting 3-month collection comprises 9.6M page visits (190K unique URLs) by 744K unique visitors.

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Cited By

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Chu GWang JQi QSun HZhuang ZHe BJing YZhang LLiao J(2025)Anomaly Detection on Interleaved Log Data With Semantic Association Mining on Log-Entity GraphIEEE Transactions on Software Engineering10.1109/TSE.2025.352785651:2(581-594)Online publication date: 1-Feb-2025
https://dl.acm.org/doi/10.1109/TSE.2025.3527856
Ali NGadallah AHefny HNovikov B(2020)An Integrated Framework for Web Data Preprocessing Towards Modeling User Behavior2020 International Multi-Conference on Industrial Engineering and Modern Technologies (FarEastCon)10.1109/FarEastCon50210.2020.9271467(1-8)Online publication date: 6-Oct-2020
https://doi.org/10.1109/FarEastCon50210.2020.9271467

Index Terms

Longitudinal Navigation Log Data on a Large Web Domain
1. Information systems
  1. World Wide Web
    1. Web mining
      1. Traffic analysis
      2. Web log analysis
    2. Web searching and information discovery

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Published In

SIGIR '16: Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval

July 2016

1296 pages

ISBN:9781450340694

DOI:10.1145/2911451

General Chairs:
Raffaele Perego
ISTI-CNR, Italy
,
Fabrizio Sebastiani
Qatar Computing Research Institute, HBKU, Qatar
,
Program Chairs:
Javed Aslam
Northeastern University, US
,
Ian Ruthven
University of Strathclyde, UK
,
Justin Zobel
University of Melbourne, Australia

Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 07 July 2016

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SIGIR '16: The 39th International ACM SIGIR conference on research and development in Information Retrieval

July 17 - 21, 2016

Pisa, Italy

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SIGIR '16 Paper Acceptance Rate 62 of 341 submissions, 18%;

Overall Acceptance Rate 792 of 3,983 submissions, 20%

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Chu GWang JQi QSun HZhuang ZHe BJing YZhang LLiao J(2025)Anomaly Detection on Interleaved Log Data With Semantic Association Mining on Log-Entity GraphIEEE Transactions on Software Engineering10.1109/TSE.2025.352785651:2(581-594)Online publication date: 1-Feb-2025
https://dl.acm.org/doi/10.1109/TSE.2025.3527856
Ali NGadallah AHefny HNovikov B(2020)An Integrated Framework for Web Data Preprocessing Towards Modeling User Behavior2020 International Multi-Conference on Industrial Engineering and Modern Technologies (FarEastCon)10.1109/FarEastCon50210.2020.9271467(1-8)Online publication date: 6-Oct-2020
https://doi.org/10.1109/FarEastCon50210.2020.9271467

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Generalization of web log datas using WUM technique

DeepWeb Navigation in Web Data Extraction

FACT-graph in web log data

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