Navigation Personalization

Navigation Personalization is a computational approach within adaptive navigation systems that tailors the traversal or recommendation of pathways in an information space to individual user characteristics, behaviors, or preferences, distinguished by its reliance on personalized models to dynamically optimize access to content.

37

Publications

1.9K

Citations

110

Authors

48

Institutions

Publications per year

2017–2026

4

Authors

110

  1. PD
    Pedro Domingos

    University of Washington, United States

    3 publications · 192 citations

    3

    h-index

  2. CR
    Corin R. Anderson

    University of Washington, United States

    3 publications · 192 citations

    3

    h-index

  3. DS
    Daniel S. Weld

    University of Washington, United States

    3 publications · 192 citations

    3

    h-index

  4. SG
    Sergio Greco

    University of Calabria, Italy

    2 publications · 56 citations

    2

    h-index

  5. NU
    Noriyoshi Uratani

    Advanced Engineering Services (Japan), Japan

    2 publications · 66 citations

    2

    h-index

1–5 of 110

Venues

  1. IEEE Transactions on Consumer Electronics

    3 publications · 78 citations

    3

    h-index

  2. 2

    h-index

  3. IET Intelligent Transport Systems

    1 publications · 41 citations

    1

    h-index

  4. 1

    h-index

  5. ACM Transactions on Internet Technology

    TOIT · 1 publications · 19 citations

    1

    h-index

1–5