Concepedia

Query Intent Classification

Query Intent Classification is a computational framework in search advertising that categorizes user queries into distinct intent types based on their semantic and contextual cues to optimize ad relevance and targeting.

39

Publications

1.7K

Citations

134

Authors

49

Institutions

Publications per year

2017–2026

16

Parents

Publications

39

Learning query intent from regularized click graphs

Xiao Li, Ye‐Yi Wang, Alex Acero · 2008 · 335 citations

, , +17

Understanding user's query intent with wikipedia

Jian Hu, Gang Wang, Frederick H. Lochovsky et al. · 2009 · 313 citations

, , +13

KBot: A Knowledge Graph Based ChatBot for Natural Language Understanding Over Linked Data

Addi Ait‐Mlouk, Lili Jiang · IEEE Access · 2020 · 139 citations · Full text

, , +17

DeepIntent

Shuangfei Zhai, Keng-hao Chang, Ruofei Zhang et al. · 2016 · 108 citations

, , +16

Classifying the user intent of web queries using <i>k</i>‐means clustering

Ashish Kathuria, Bernard J. Jansen, Carolyn Hafernik et al. · Internet Research · 2010 · 62 citations

, , +17

1–5 of 39

Authors

134

  1. YW
    Ye‐Yi Wang

    Microsoft (United States), United States

    2 publications · 359 citations

    2

    h-index

  2. BJ
    Bernard J. Jansen

    Pennsylvania State University, United States

    2 publications · 122 citations

    2

    h-index

  3. AA
    Alex Acero

    Microsoft (United States), United States

    2 publications · 359 citations

    2

    h-index

  4. ZM
    Zhongfei Mark Zhang

    Binghamton University, United States

    1 publications · 108 citations

    1

    h-index

  5. SU
    Shambhu Upadhyaya

    University at Buffalo, State University of New York, United States

    1 publications · 29 citations

    1

    h-index

1–5 of 134

Institutions

49

  1. Microsoft (United States)

    Redmond, United States

    6 h-index

    17 publications

    1.5K citations

  2. Google (United States)

    Mountain View, United States

    3 h-index

    10 publications

    361 citations

  3. Cornell University

    Ithaca, United States

    2 h-index

    7 publications

    307 citations

  4. Hong Kong University of Science and Technology

    Hong Kong, Hong Kong

    2 h-index

    3 publications

    359 citations

  5. Beijing University of Posts and Telecommunications

    Beijing, China

    2 h-index

    2 publications

    76 citations

  6. Yahoo (United Kingdom)

    London, United Kingdom

    2 h-index

    2 publications

    27 citations

  7. Jingdong (China)

    Beijing, China

    2 h-index

    2 publications

    36 citations

  8. Microsoft Research Asia (China)

    Beijing, China

    2 h-index

    6 publications

    1.3K citations

1–8 of 49

Venues

  1. 3

    h-index

  2. IEEE Access

    2 publications · 161 citations

    2

    h-index

  3. 1

    h-index

  4. arXiv (Cornell University)

    Repository · 1 publications · 16 citations

    1

    h-index

  5. World Wide Web

    1 publications · 23 citations

    1

    h-index

1–5