Cross-collection Retrieval

Cross-Collection Retrieval is a federated search approach that integrates search results across multiple independent and heterogeneous document collections by querying them simultaneously and merging the results at the document or passage level, distinguished from single-collection retrieval by its ability to handle cross-repository interoperability, varied indexing schemas, and distributed relevance ranking.

15

Publications

618

Citations

56

Authors

22

Institutions

Publications per year

2017–2026

0

Authors

56

  1. AT
    Andrew Turpin

    The University of Melbourne, Australia

    2 publications · 36 citations

    2

    h-index

  2. MS
    Mark Sanderson

    RMIT University, Australia

    2 publications · 36 citations

    2

    h-index

  3. FS
    Falk Scholer

    RMIT University, Australia

    2 publications · 36 citations

    2

    h-index

  4. KT
    Klaus Tochtermann

    Know Center Research GmbH (Austria), Austria

    1 publications · 10 citations

    1

    h-index

  5. JW
    J. W. Stevenson

    Victoria and Albert Museum, United Kingdom

    1 publications · 46 citations

    1

    h-index

1–5 of 56

Venues

  1. ACM Transactions on Information Systems

    1 publications · 45 citations

    1

    h-index

  2. Cataloging & Classification Quarterly

    CCQ · 1 publications · 22 citations

    1

    h-index

  3. Journal of the American Society for Information Science

    JASIS · 1 publications · 33 citations

    1

    h-index

  4. IEEE Transactions on Image Processing

    1 publications · 46 citations

    1

    h-index

  5. IEEE Transactions on Multimedia

    1 publications · 54 citations

    1

    h-index

1–5