research-article

User Interests in German Social Science Literature Search: A Large Scale Log Analysis

Author:

Daniel HienertAuthors Info & Claims

CHIIR '17: Proceedings of the 2017 Conference on Conference Human Information Interaction and Retrieval

Pages 7 - 16

https://doi.org/10.1145/3020165.3020168

Published: 07 March 2017 Publication History

Abstract

The social sciences are a broad research field with a lot of sub- and related disciplines. Accordingly, user interests in a digital library for the social sciences are manifold. In this study we analyzed nine years log data of a social science digital library to get an overview of the fields, categories, topics and detailed information needs users are interested in. Based on the log data we have built interactive visualizations which give an overview and concurrently let us look at the detailed interests of users. The underlying log data and the created visualizations are then used to analyze user interests at different hierarchical levels and on a temporal view. The results show that there are topical interests of the users in specific fields and topics of the social sciences but at the same time there exists a diversity of different information needs. Based on these findings we analyze in detail the gap between the indexing language of the system used to annotate documents and the language users apply to articulate their information needs.

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Cited By

Ibáñez LSimperl EElsweiler DKruschwitz ULudwig B(2022)A comparison of dataset search behaviour of internal versus search engine referred sessionsProceedings of the 2022 Conference on Human Information Interaction and Retrieval10.1145/3498366.3505821(158-168)Online publication date: 14-Mar-2022
https://dl.acm.org/doi/10.1145/3498366.3505821
Korzeniowski LGoczyla K(2022)Landscape of Automated Log Analysis: A Systematic Literature Review and Mapping StudyIEEE Access10.1109/ACCESS.2022.315254910(21892-21913)Online publication date: 2022
https://doi.org/10.1109/ACCESS.2022.3152549
Paskali LIvanovic LIvanović D(2021)Use analysis of the digital library of PhD dissertations defended at the University of Novi SadThe Electronic Library10.1108/EL-11-2019-0268ahead-of-print:ahead-of-printOnline publication date: 8-Feb-2021
https://doi.org/10.1108/EL-11-2019-0268
Show More Cited By

Index Terms

User Interests in German Social Science Literature Search: A Large Scale Log Analysis
1. Human-centered computing
  1. Visualization
    1. Visualization application domains
      1. Information visualization
2. Information systems
  1. Information retrieval
    1. Information retrieval query processing
      1. Query log analysis
  2. Information systems applications
    1. Digital libraries and archives

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Published In

cover image ACM Conferences

CHIIR '17: Proceedings of the 2017 Conference on Conference Human Information Interaction and Retrieval

March 2017

454 pages

ISBN:9781450346771

DOI:10.1145/3020165

Conference Chairs:
Ragnar Nordlie
Oslo & Akershus University College of Applied Sciences, Norway
,
Nils Pharo
Oslo and Akershus University College of Applied Sciences, Norway
,
Program Chairs:
Luanne Freund
University of British Columbia, Canada
,
Birger Larsen
Aalborg University, Denmark
,
Dan Russel
Google, USA

Copyright © 2017 ACM.

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 the author(s) 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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SIGIR: ACM Special Interest Group on Information Retrieval

In-Cooperation

SIGCHI: ACM Special Interest Group on Computer-Human Interaction

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 07 March 2017

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Deutsche Forschungsgemeinschaft

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CHIIR '17

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SIGIR

CHIIR '17: Conference on Human Information Interaction and Retrieval

March 7 - 11, 2017

Oslo, Norway

Acceptance Rates

CHIIR '17 Paper Acceptance Rate 10 of 48 submissions, 21%;

Overall Acceptance Rate 55 of 163 submissions, 34%

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Cited By

Ibáñez LSimperl EElsweiler DKruschwitz ULudwig B(2022)A comparison of dataset search behaviour of internal versus search engine referred sessionsProceedings of the 2022 Conference on Human Information Interaction and Retrieval10.1145/3498366.3505821(158-168)Online publication date: 14-Mar-2022
https://dl.acm.org/doi/10.1145/3498366.3505821
Korzeniowski LGoczyla K(2022)Landscape of Automated Log Analysis: A Systematic Literature Review and Mapping StudyIEEE Access10.1109/ACCESS.2022.315254910(21892-21913)Online publication date: 2022
https://doi.org/10.1109/ACCESS.2022.3152549
Paskali LIvanovic LIvanović D(2021)Use analysis of the digital library of PhD dissertations defended at the University of Novi SadThe Electronic Library10.1108/EL-11-2019-0268ahead-of-print:ahead-of-printOnline publication date: 8-Feb-2021
https://doi.org/10.1108/EL-11-2019-0268
España-Bonet CStiller JRamthun Rvan Genabith JPetras V(2019)Query Translation for Cross-Lingual Search in the Academic Search Engine PubPsychMetadata and Semantic Research10.1007/978-3-030-14401-2_4(37-49)Online publication date: 24-Feb-2019
https://doi.org/10.1007/978-3-030-14401-2_4

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