Federated Search Representation

Federated Search Representation is a document representation framework that integrates heterogeneous representations from multiple distributed sources or domains by selectively synthesizing shared and local features while preserving data autonomy and privacy.

4

Publications

247

Citations

15

Authors

8

Institutions

Publications per year

2017–2026

0

Authors

15

  1. MS
    Milad Shokouhi

    Microsoft (United States), United States

    2 publications · 180 citations

    2

    h-index

  2. NH
    Nancy Hrinya Tannery

    University of Pittsburgh, United States

    1 publications · 14 citations

    1

    h-index

  3. MB
    Mark Baillie

    University of Strathclyde, United Kingdom

    1 publications · 22 citations

    1

    h-index

  4. AK
    Ashok Kumar Ponnuswami

    Microsoft (United States), United States

    1 publications · 53 citations

    1

    h-index

  5. RG
    Ran Gilad-Bachrach

    Microsoft (United States), United States

    1 publications · 53 citations

    1

    h-index

1–5 of 15

Venues

  1. 1

    h-index

  2. 1

    h-index

  3. Knowledge and Information Systems

    1 publications · 11 citations

1–3