Treffer: Identifying user behavior in domain-specific repositories : Let's Put Data to Use: Digital Scholarship for the Next Generation

Title:
Identifying user behavior in domain-specific repositories : Let's Put Data to Use: Digital Scholarship for the Next Generation
Source:
Information services & use. 34(3-4):249-258
Publisher Information:
Amsterdam: IOS Press, 2014.
Publication Year:
2014
Physical Description:
print, 7 ref
Original Material:
INIST-CNRS
Document Type:
Konferenz Conference Paper
File Description:
text
Language:
English
Author Affiliations:
GESIS - Leibniz Institute for the Social Sciences, Cologne, Germany
ISSN:
0167-5265
Rights:
Copyright 2015 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Sciences of information and communication. Documentation

FRANCIS
Accession Number:
edscal.29083280
Database:
PASCAL Archive

Weitere Informationen

This paper presents an analysis of the user behavior of two different domain-specific repositories. The web analytic tool etracker was used to gain a first overall insight into the user behavior of these repositories. Moreover, we extended our work to describe an apache web log analysis approach which focuses on the identification of the user behavior. Therefore the user traffic within our systems is visualized using chord diagrams. We could find that recommendations are used frequently and users do rarely combine searching with faceting or filtering.