Repository logo
  • Log In
    New user? Click here to register.Have you forgotten your password?
University College Dublin
    Colleges & Schools
    Statistics
    All of DSpace
  • Log In
    New user? Click here to register.Have you forgotten your password?
  1. Home
  2. UCD Office of the Registrar and Vice President Academic Affairs
  3. UCD Library
  4. UCD Library Staff Research Collection
  5. How Accurate are IR Usage Statistics?
 
  • Details
Options

How Accurate are IR Usage Statistics?

Author(s)
Greene, Joseph  
Uri
http://hdl.handle.net/10197/26336
Date Issued
2016-06-16
Date Available
2024-06-21T15:07:11Z
Abstract
Experiment: simple random sample of 2 years of download data (n=341, N=3.3 million for 96.20% certainty), manually checked to determine if robot or human. DSpace 1.8.2 with U. Minho DSpace Statistics Add-on v. 4. Apache Tomcat behind Apache HTTP server; logs in Apache Combined Log Format. Minho registers every download in the PostgreSQL database. Results to be published in July 2016 issue of Library Hi Tech (Greene 2016). This dataset is used to experimentally test different detection techniques used alone and in combination, and different out-of-box techniques used by the major repository platforms DSpace and EPrints. 85% of unfiltered repository downloads come from robots.
Type of Material
Conference Publication
Copyright (Published Version)
2016 the Author
Subjects

Web robot detection

Institutional reposit...

Usage statistics

Downloads

Web versions
http://or2016.net/
https://dri.ie/events/open-repositories-2016/
http://www.slideshare.net/eservice/how-accurate-are-ir-usage-statistics
Language
English
Status of Item
Peer reviewed
Conference Details
11th Annual Conference on Open Repositories (OR2016). Dublin, 13-16 June 2016
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
File(s)
Loading...
Thumbnail Image
Name

JGRobotsPanelOR2016-06-08.pdf

Size

878.21 KB

Format

Adobe PDF

Checksum (MD5)

7ebf3ba992a9e818b546f18cb24bb7e8

Owning collection
UCD Library Staff Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
All other content is subject to copyright.

For all queries please contact research.repository@ucd.ie.

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science

  • Cookie settings
  • Privacy policy
  • End User Agreement