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Staging User Feedback toward Rapid Conflict Resolution in Data Fusion

Summary: Staging user feedback to rapidly resolve conflicts in data fusion; leverages source consensus and fusion output to prioritize items for validation. Introduces a VPI-based decision-theoretic framework with scalable approximations to rank items by expected information gain, yielding improved fusion accuracy with limited feedback on real datasets. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5307
Venue
SIGMOD
Year
2017
Pagerank
4.1945683e-05
Overall Rank
11,770 | 18.12%
DOI
10.1145/3035918.3035941

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