Explainable Recommendation Interfaces

Explainable Recommendation Interfaces is a user interface paradigm in educational technologies that integrates transparent, justifiable recommendations into tutoring systems by providing learners with intelligible rationales for suggested actions or resources, thereby distinguishing itself from conventional recommendation interfaces through its emphasis on pedagogical transparency and user trust in adaptive learning environments.

20

Publications

2.8K

Citations

49

Authors

22

Institutions

Publications per year

2017–2026

12

Authors

49

  1. PB
    Peter Brusilovsky

    University of Pittsburgh, United States

    3 publications · 50 citations

    3

    h-index

  2. LC
    Li Chen

    Hong Kong Baptist University, Hong Kong SAR China

    3 publications · 559 citations

    3

    h-index

  3. CT
    Chun-Hua Tsai

    University of Pittsburgh, United States

    2 publications · 36 citations

    2

    h-index

  4. JB
    Jordan Barria-Pineda

    University of Pittsburgh, United States

    2 publications · 32 citations

    2

    h-index

  5. PP
    Pearl Pu

    École Polytechnique Fédérale de Lausanne, Switzerland

    2 publications · 540 citations

    2

    h-index

1–5 of 49

Venues

  1. Knowledge-Based Systems

    1 publications · 248 citations

    1

    h-index

  2. Education and Information Technologies

    1 publications · 15 citations

    1

    h-index

  3. 1

    h-index

  4. World Wide Web

    1 publications · 59 citations

    1

    h-index

  5. Journal of Advanced Management Science

    1 publications · 19 citations

    1

    h-index

1–5