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Task Collections

Version
1
Resource Type
Dataset
Creator
  • Lewandowski, Dirk (Hamburg University of Applied Sciences)
  • Behnert, Christiane (Hamburg University of Applied Sciences)
  • Plassmeier, Kim (German National Library of Economics)
  • Borst, Timo (German National Library of Economics)
Publication Date
2016
Description
  • Abstract

    Within the research project LibRank we evaluated a sample of factors for relevance ranking in library information systems by using a test system with EconBiz data. EconBiz is an academic search portal for economics by the German National Library of Economics (ZBW - Zentralbibliothek für Wirtschaftswissenschaften, Leibnitz-Informationszentrum Wirtschaft). We applied standard procedures in Information Retrieval evaluation by using human relevance assessments. The research data were obtained in three evaluation runs and are published in 3 files including: A) Search queries with descriptions; B) Document URLs with relevance assessments; C) Ranking factors and weightings.
Collection Mode
    • Other
    • Other
Data and File Information
    • File Name: A_Search_queries_descriptions.xlsx
      File Format: application/vnd.ms-excel
      File Size: 64083
      Data Fingerprint: f6f42b5ec62e6011fc61c04e53bb990a
      Method Fingerprint: MD5
    • File Name: A_Search_queries_descriptions.xlsx
      File Format: application/vnd.ms-excel
      File Size: 64083
      Data Fingerprint: f6f42b5ec62e6011fc61c04e53bb990a
      Method Fingerprint: MD5
    • File Name: B_Document_URLs_relevance_assessments.xlsx
      File Format: application/vnd.ms-excel
      File Size: 9006413
      Data Fingerprint: 1006a096fe308a395eb0cc47e00caf66
      Method Fingerprint: MD5
    • File Name: B_Document_URLs_relevance_assessments.xlsx
      File Format: application/vnd.ms-excel
      File Size: 9006413
      Data Fingerprint: 1006a096fe308a395eb0cc47e00caf66
      Method Fingerprint: MD5
    • File Name: C_Ranking_factors_weightings.xlsx
      File Format: application/vnd.ms-excel
      File Size: 16304
      Data Fingerprint: 5ed665c7a864245cd266be3673898b02
      Method Fingerprint: MD5
    • File Name: C_Ranking_factors_weightings.xlsx
      File Format: application/vnd.ms-excel
      File Size: 16304
      Data Fingerprint: 5ed665c7a864245cd266be3673898b02
      Method Fingerprint: MD5
Availability
Download
Free Access (without Registration)
Rights
CC BY-SA 4.0
Publications
  • Behnert, C., & Lewandowski, D. (2015). Ranking Search Results in Library Information Systems — Considering Ranking Approaches Adapted From Web Search Engines. The Journal of Academic Librarianship, 41(6), 725–735.;10.1016/j.acalib.2015.07.010

Update Metadata: 2019-10-01 | Issue Number: 2 | Registration Date: 2016-08-22

Lewandowski, Dirk; Behnert, Christiane; Plassmeier, Kim; Borst, Timo (2016): Task Collections. Version: 1. GESIS Datenarchiv. Dataset. https://doi.org/10.7802/1253