Concepedia

Cross-device Personalization

Cross-Device Personalization is a personalization framework that integrates user behavior and preferences across multiple devices to deliver consistent and tailored search results, distinguished by its ability to unify fragmented digital footprints while preserving device-specific contexts.

5

Publications

175

Citations

19

Authors

6

Institutions

Publications per year

2017–2026

1

Parents

Publications

5

Tackling Data Heterogeneity in Federated Learning with Class Prototypes

Yutong Dai, Zeyuan Chen, Junnan Li et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 2023 · 105 citations · Full text

, , +12

Surveying personal device ecosystems with cross-device applications in mind

Linda Di Geronimo, Maria Husmann, Moira C. Norrie · 2016 · 23 citations

, , +14

Pipet

Bernt Meerbeek, Peter Bingley, Wil Rijnen et al. · 2010 · 21 citations

, , +16

Observations of a Shared Tabletop User Study

Katherine Everitt, Clifton Forlines, Kathy Ryall et al. · 2004 · 15 citations

, , +17

Cross-Device User Matching Based on Massive Browse Logs: The Runner-Up Solution for the 2016 CIKM Cup

Jianxun Lian, Xing Xie · arXiv (Cornell University) · 2016 · 11 citations · Full text

, , +11

1–5 of 5

Authors

19

  1. ZC
    Zeyuan Chen

    East China Normal University, China

    1 publications · 105 citations

    1

    h-index

  2. WR
    Wil Rijnen

    Eindhoven University of Technology, Netherlands

    1 publications · 21 citations

    1

    h-index

  3. MC
    Moira C. Norrie

    ETH Zurich, Switzerland

    1 publications · 23 citations

    1

    h-index

  4. SH
    Shelby Heinecke

    Salesforce (United States), United States

    1 publications · 105 citations

    1

    h-index

  5. PB
    Peter Bingley

    Delft University of Technology, Netherlands

    1 publications · 21 citations

    1

    h-index

1–5 of 19

Institutions

6

  1. Mitsubishi Electric (Japan)

    Tokyo, Japan

    1 h-index

    1 publications

    15 citations

  2. Philips (Finland)

    Vantaa, Finland

    1 h-index

    2 publications

    42 citations

  3. ETH Zurich

    Zurich, Switzerland

    1 h-index

    3 publications

    69 citations

  4. Lehigh University

    Bethlehem, United States

    1 h-index

    2 publications

    210 citations

  5. Salesforce (United States)

    San Francisco, United States

    1 h-index

    4 publications

    420 citations

  6. Eindhoven University of Technology

    Eindhoven, The Netherlands

    1 h-index

    2 publications

    42 citations

1–6 of 6

Venues

  1. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 1 publications · 105 citations

    1

    h-index

  2. arXiv (Cornell University)

    Repository · 1 publications · 11 citations

    1

    h-index

1–2