Longitudinal navigation log data on a large web domain

Title

Longitudinal navigation log data on a large web domain

 Author

Verberne, S.
Arends, B.
Kraaij, W.
de Vries, A.

Publication year

2016

 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. © 2016 ACM.

 Subject

ICT
DSC - Data Science
TS - Technical Sciences
Access logs
Data collection
Graph clustering
Link analysis
Navigation behavior
Information retrieval
Navigation
Websites
World Wide Web
Access log
Data collection
Graph clustering
Link analysis
Navigation behavior
Behavioral research

 To reference this document use:

http://resolver.tudelft.nl/uuid:6bbfd88b-ab11-4c8a-a271-dfa5951e05f7

 DOI

https://doi.org/10.1145/2911451.2914667

 TNO identifier

546220

 Publisher

Association for Computing Machinery, Inc

 ISBN

9781450342902

 Source

39th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2016, 17 July 2016 through 21 July 2016, 697-700

 Document type

conference paper
Files
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