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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
12225
Venue
VLDB
Year
2020
Pagerank
4.6788921e-05
Overall Rank
7,685 | 46.54%
DOI
10.14778/3415478.3415566

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