Knowledge Graph-based Personalization

Knowledge Graph-Based Personalization is a personalization method that leverages structured knowledge from knowledge graphs to enhance user-specific search results by integrating semantic relationships and contextual information distinct to individual user profiles.

39

Publications

1K

Citations

129

Authors

59

Institutions

Publications per year

2017–2026

34

Authors

129

  1. XL
    Xin Luna Dong

    Google (United States), United States

    2 publications · 77 citations

    2

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  2. KB
    Krisztian Balog

    University of Amsterdam, Netherlands

    1 publications · 10 citations

    2

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  3. CW
    Christian Weber

    University of Siegen, Germany

    2 publications · 31 citations

    2

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  4. HA
    Hasan Abu-Rasheed

    University of Siegen, Germany

    2 publications · 31 citations

    2

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  5. MF
    Madjid Fathi

    University of Siegen, Germany

    2 publications · 31 citations

    2

    h-index

1–5 of 129

Venues

  1. Journal of Engineering Design

    1 publications · 30 citations

    1

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  2. 1

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  3. ACM Transactions on Database Systems

    TODS · 1 publications · 28 citations

    1

    h-index

  4. Journal of Mechanical Design

    1 publications · 21 citations

    1

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  5. IEEE Internet Computing

    1 publications · 18 citations

    1

    h-index

1–5