Profile Expansion

Profile Expansion is a recommendation system technique that augments a user's initial profile with additional inferred or external attributes to alleviate sparse interaction data, distinguishing itself by enabling more accurate personalization in cold-start scenarios where traditional collaborative filtering methods fail due to lack of historical behavior.

22

Publications

794

Citations

70

Authors

38

Institutions

Publications per year

2017–2026

6

Authors

70

  1. FS
    Florence Sèdes

    Université Toulouse III - Paul Sabatier, France

    2 publications · 26 citations

    2

    h-index

  2. AP
    André Péninou

    Université Toulouse III - Paul Sabatier, France

    2 publications · 26 citations

    2

    h-index

  3. MA
    M. Angela Sasse

    University College London, United Kingdom

    1 publications · 172 citations

    1

    h-index

  4. PB
    Philip Bonhard

    University College London, United Kingdom

    1 publications · 172 citations

    1

    h-index

  5. MM
    Majid Meghdadı

    University of Zanjan, Iran

    1 publications · 99 citations

    1

    h-index

1–5 of 70

Venues

  1. Multimedia Tools and Applications

    2 publications · 145 citations

    2

    h-index

  2. BT Technology Journal

    1 publications · 172 citations

    1

    h-index

  3. User Modeling and User-Adapted Interaction

    1 publications · 69 citations

    1

    h-index

  4. Radio Science

    1 publications · 52 citations

    1

    h-index

  5. Information Processing & Management

    1 publications · 46 citations

    1

    h-index

1–5