InCognitoMatch: Cognitive-aware Matching via Crowdsourcing

Summary: First cognitive-aware crowdsourcing system for matching tasks that accounts for human biases in validation. Admins tune visible context and analyze performance; workers use multiple platforms and receive follow-up sessions. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 5870
Venue: SIGMOD
Year: 2020
Pagerank: 4.1945683e-05
Overall Rank: 11,583 | 19.42%
DOI: 10.1145/3318464.3384697

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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank	Cited Paper	Year	Venue	Pagerank
382	COMA - A system for flexible combination of schema matching approaches	2002	VLDB	0.00024823252

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