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Fairly Evaluating and Scoring Items in a Data Set

Summary: Tutorial on fairness-aware scoring of items, presenting a framework for responsible, bias-conscious evaluation. Relates fair scoring to core data-management tasks (classification, ranking, quality) and offers techniques aligned with DB principles. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
12413
Venue
VLDB
Year
2020
Pagerank
5.7623529e-05
Overall Rank
6,824 | 53.19%
DOI
3415478.3415566

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{asudeh_vldb20,
        title = {{Fairly Evaluating and Scoring Items in a Data Set}},
        author = {Asudeh, Abolfazl and Jagadish, H. V.},
        journal = {PVLDB},
        series = {{VLDB} '20},
        volume = {13},
        number = {12},
        pages = {3445--3448},
        doi = {3415478.3415566},
        url = {https://doi.org/3415478.3415566},
        year = {2020}
}

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