Corpus ID: 219531444

Equality of Learning Opportunity in Personalized Recommendations

@article{Marras2020EqualityOL,
  title={Equality of Learning Opportunity in Personalized Recommendations},
  author={Mirko Marras and Ludovico Boratto and Guilherme Piovezani Ramos and Gianni Fenu},
  journal={ArXiv},
  year={2020},
  volume={abs/2006.04282}
}
  • Mirko Marras, Ludovico Boratto, +1 author Gianni Fenu
  • Published 2020
  • Computer Science
  • ArXiv
  • Online educational platforms are promising to play a primary role in mediating the success of individuals' careers. Hence, while building overlying content recommendation services, it becomes essential to ensure that learners are provided with equal learning opportunities, according to the platform values, context, and pedagogy. Even though the importance of creating equality of learning opportunities has been well investigated in traditional institutions, how it can be operationalized scalably… CONTINUE READING

    References

    Publications referenced by this paper.
    SHOWING 1-10 OF 53 REFERENCES

    Fairness in Machine Learning

    VIEW 9 EXCERPTS
    HIGHLY INFLUENTIAL

    Content-based Recommender Systems: State of the Art and Trends

    VIEW 8 EXCERPTS
    HIGHLY INFLUENTIAL

    Cumulated gain-based evaluation of IR techniques

    VIEW 10 EXCERPTS
    HIGHLY INFLUENTIAL

    Multistakeholder recommendation: Survey and research directions

    VIEW 4 EXCERPTS
    HIGHLY INFLUENTIAL

    Neural Collaborative Filtering

    VIEW 5 EXCERPTS
    HIGHLY INFLUENTIAL

    Recommender Systems for university elective course recommendation

    VIEW 7 EXCERPTS
    HIGHLY INFLUENTIAL