Search Intent Detection

Search Intent Detection is a computational framework within web search that identifies the underlying purpose of a user's query by classifying it into distinct categories such as informational, navigational, or transactional, thereby distinguishing it from general query analysis through its focus on inferring user goals.

37

Publications

1.1K

Citations

114

Authors

43

Institutions

Publications per year

2017–2026

11

Authors

114

  1. MA
    Michael A. Riegler

    Simula Metropolitan Center for Digital Engineering, Norway

    2 publications · 33 citations

    2

    h-index

  2. ZD
    Zhicheng Dou

    Renmin University of China, China

    2 publications · 37 citations

    2

    h-index

  3. RW
    Ryen W. White

    Microsoft (United States), United States

    2 publications · 97 citations

    2

    h-index

  4. TY
    Takehiro Yamamoto

    Kyoto University, Japan

    2 publications · 43 citations

    2

    h-index

  5. RJ
    Rosie Jones

    Yahoo (United States), United States

    2 publications · 33 citations

    2

    h-index

1–5 of 114

Venues

  1. Information Processing & Management

    2 publications · 54 citations

    2

    h-index

  2. International Journal of Multimedia Information Retrieval

    IJMIR · 1 publications · 15 citations

    1

    h-index

  3. IIE Transactions

    1 publications · 37 citations

    1

    h-index

  4. IEEE Transactions on Consumer Electronics

    1 publications · 15 citations

    1

    h-index

  5. Information Retrieval

    1 publications · 112 citations

    1

    h-index

1–5