Anchor Text Analysis

Anchor Text Analysis is a web search methodology that examines the hyperlink anchor texts to infer the content and relevance of the target web pages, distinguishing it from other information retrieval techniques by leveraging the externally generated descriptive labels provided by linking sources.

88

Publications

5.1K

Citations

216

Authors

88

Institutions

Publications per year

2017–2026

8

Authors

216

  1. NC
    Nick Craswell

    Microsoft (United States), United States

    7 publications · 521 citations

    7

    h-index

  2. DH
    David Hawking

    Commonwealth Scientific and Industrial Research Organisation, Australia

    7 publications · 473 citations

    7

    h-index

  3. LC
    Lee‐Feng Chien

    Institute of Information Science, Academia Sinica, Taiwan

    3 publications · 158 citations

    3

    h-index

  4. NE
    Nadav Eiron

    IBM Research - Almaden, United States

    3 publications · 297 citations

    3

    h-index

  5. JK
    Jaap Kamps

    University of Amsterdam, Netherlands

    3 publications · 81 citations

    3

    h-index

1–5 of 216

Venues

  1. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 3 publications · 190 citations

    3

    h-index

  2. Journal of the American Society for Information Science

    JASIS · 2 publications · 114 citations

    2

    h-index

  3. Text REtrieval Conference

    Conference · 2 publications · 58 citations

    2

    h-index

  4. ACM Transactions on Information Systems

    2 publications · 152 citations

    2

    h-index

  5. CL Technical Reports

    Repository · 1 publications · 39 citations

    1

    h-index

1–5