Focused Crawling

Focused Crawling is a selective web crawling strategy that belongs to the class of information retrieval methods, distinguished by its purpose of prioritizing and retrieving web pages relevant to a predefined topic or domain, as opposed to indiscriminately harvesting content across the entire web.

179

Publications

8K

Citations

464

Authors

199

Institutions

Publications per year

2017–2026

31

Authors

464

  1. CL
    C. Lee Giles

    Pennsylvania State University, United States

    6 publications · 683 citations

    6

    h-index

  2. FK
    Farookh Khadeer Hussain

    University of Technology Sydney, Australia

    5 publications · 164 citations

    5

    h-index

  3. HD
    Hai Dong

    RMIT University, Australia

    5 publications · 164 citations

    5

    h-index

  4. JF
    Juliana Freire

    New York University, United States

    5 publications · 405 citations

    5

    h-index

  5. LB
    Luciano Barbosa

    University of Utah, United States

    4 publications · 390 citations

    4

    h-index

1–5 of 464

Venues

  1. Expert Systems with Applications

    4 publications · 97 citations

    4

    h-index

  2. Applied Soft Computing

    3 publications · 92 citations

    3

    h-index

  3. World Wide Web

    3 publications · 60 citations

    3

    h-index

  4. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 3 publications · 163 citations

    3

    h-index

  5. Knowledge-Based Systems

    2 publications · 28 citations

    2

    h-index

1–5