Entity-centric Search

Entity-Centric Search is an information retrieval paradigm that takes named entities as the primary semantic units of search, distinguishing itself from document- or keyword-centric approaches by focusing on retrieving and ranking entities based on their relevance to a user's information need.

49

Publications

2.2K

Citations

168

Authors

70

Institutions

Publications per year

2017–2026

12

Authors

168

  1. SC
    Silviu Cucerzan

    Microsoft (United States), United States

    3 publications · 64 citations

    3

    h-index

  2. JB
    Jinheon Baek

    Korea Advanced Institute of Science and Technology, South Korea

    3 publications · 64 citations

    3

    h-index

  3. GW
    Gerhard Weikum

    Max Planck Institute for Informatics, Germany

    3 publications · 200 citations

    3

    h-index

  4. KB
    Krisztian Balog

    University of Amsterdam, Netherlands

    3 publications · 170 citations

    3

    h-index

  5. YT
    Yannis Tzitzikas

    University of Crete, Greece

    2 publications · 38 citations

    2

    h-index

1–5 of 168

Venues

  1. arXiv (Cornell University)

    Repository · 3 publications · 151 citations

    3

    h-index

  2. Information Processing & Management

    2 publications · 57 citations

    2

    h-index

  3. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 1 publications · 31 citations

    1

    h-index

  4. Proceedings of the VLDB Endowment

    PVLDB · 1 publications · 11 citations

    1

    h-index

  5. Information Sciences

    1 publications · 29 citations

    1

    h-index

1–5