Contextual Feature Representation

Contextual Feature Representation is a modeling construct that captures and formalizes environmental, situational, and user-dependent variables influencing user preferences, distinguished by its integration of dynamic contextual information into feature embeddings to enhance the personalization and accuracy of recommendations in context-aware systems.

459

Publications

27.4K

Citations

1.7K

Authors

563

Institutions

Publications per year

2017–2026

313

Authors

1.7K

  1. HX
    Hui Xiong

    Rutgers, The State University of New Jersey, United States

    9 publications · 529 citations

    9

    h-index

  2. EC
    Enhong Chen

    University of Science and Technology of China, China

    7 publications · 391 citations

    7

    h-index

  3. YL
    Yong Li

    Tsinghua University, China

    4 publications · 71 citations

    4

    h-index

  4. FR
    Francesco Ricci⋆

    Free University of Bozen-Bolzano, Italy

    4 publications · 166 citations

    4

    h-index

  5. BM
    Bamshad Mobasher

    DePaul University, United States

    4 publications · 177 citations

    4

    h-index

1–5 of 1.7K

Venues

  1. arXiv (Cornell University)

    Repository · 30 publications · 1.9K citations

    21

    h-index

  2. IEEE Access

    25 publications · 672 citations

    18

    h-index

  3. Remote Sensing

    13 publications · 671 citations

    13

    h-index

  4. Expert Systems with Applications

    11 publications · 578 citations

    11

    h-index

  5. 8

    h-index

1–5