Snippet Generation

Snippet Generation is a computational process in information retrieval that, given a query and a set of retrieved documents, produces a concise, informative excerpt—typically a sentence or phrase—extracted or synthesized from the original content to highlight its relevance to the query within the context of federated search systems.

112

Publications

8.5K

Citations

412

Authors

137

Institutions

Publications per year

2017–2026

71

Authors

412

  1. ZJ
    Zhi Jin

    Peking University, China

    5 publications · 292 citations

    5

    h-index

  2. XX
    Xin Xia

    Singapore Management University, Singapore

    5 publications · 233 citations

    5

    h-index

  3. YC
    Yi Chen

    Arizona State University, United States

    5 publications · 346 citations

    5

    h-index

  4. ZL
    Ziyang Liu

    Soochow University, China

    5 publications · 346 citations

    5

    h-index

  5. EY
    Eran Yahav

    Technion – Israel Institute of Technology, Israel

    4 publications · 573 citations

    4

    h-index

1–5 of 412

Venues

  1. arXiv (Cornell University)

    Repository · 16 publications · 1.2K citations

    12

    h-index

  2. ACM Transactions on Software Engineering and Methodology

    TOSEM · 4 publications · 173 citations

    4

    h-index

  3. Proceedings of the VLDB Endowment

    PVLDB · 2 publications · 45 citations

    2

    h-index

  4. IEEE Access

    2 publications · 234 citations

    2

    h-index

  5. ScholarlyCommons (University of Pennsylvania)

    Repository · 1 publications · 16 citations

    1

    h-index

1–5