Web Page Clustering

Web Page Clustering is a document clustering technique that organizes web pages into groups based on textual and structural similarities, distinguishing it from other web mining tasks by focusing on unsupervised categorization of pages at the document level.

369

Publications

20.8K

Citations

813

Authors

346

Institutions

Publications per year

2017–2026

27

Parents

Authors

813

  1. WM
    Wei‐Ying Ma

    Microsoft Research Asia (China), China

    7 publications · 686 citations

    7

    h-index

  2. YZ
    Yanchun Zhang

    Victoria University, Australia

    5 publications · 198 citations

    5

    h-index

  3. PT
    Paolo Tonella

    Fondazione Bruno Kessler, Italy

    5 publications · 201 citations

    5

    h-index

  4. FR
    Filippo Ricca

    University of Genoa, Italy

    5 publications · 201 citations

    5

    h-index

  5. OE
    Oren Etzioni

    University of Washington, United States

    5 publications · 1.2K citations

    5

    h-index

1–5 of 813

Venues

  1. Information Processing & Management

    8 publications · 242 citations

    8

    h-index

  2. Data & Knowledge Engineering

    DKE · 7 publications · 375 citations

    7

    h-index

  3. Information Sciences

    5 publications · 335 citations

    5

    h-index

  4. Decision Support Systems

    5 publications · 451 citations

    5

    h-index

  5. Knowledge and Information Systems

    4 publications · 108 citations

    4

    h-index

1–5