Context-aware Content Recommendation

Context-Aware Content Recommendation is a type of content-based recommendation approach that incorporates temporal, spatial, environmental, or situational contextual information to dynamically adapt content selection and personalization beyond static user or item attributes.

52

Publications

1.9K

Citations

172

Authors

88

Institutions

Publications per year

2017–2026

19

Authors

172

  1. MT
    Maria Teresa Andrade

    INESC TEC, Portugal

    3 publications · 59 citations

    3

    h-index

  2. AO
    Abayomi Otebolaku

    Liverpool John Moores University, United Kingdom

    3 publications · 59 citations

    3

    h-index

  3. SB
    Sadok Ben Yahia

    Tunis El Manar University, Tunisia

    2 publications · 116 citations

    2

    h-index

  4. DZ
    Daqing Zhang

    Institut Polytechnique de Paris, France

    2 publications · 70 citations

    2

    h-index

  5. LG
    Luiz Gustavo Pacola Alves

    2 publications · 28 citations

    2

    h-index

1–5 of 172

Venues

  1. IEEE Transactions on Multimedia

    3 publications · 132 citations

    3

    h-index

  2. Expert Systems with Applications

    3 publications · 237 citations

    3

    h-index

  3. Personal and Ubiquitous Computing

    2 publications · 73 citations

    2

    h-index

  4. 2

    h-index

  5. 1

    h-index

1–5