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A Confidence-Aware Approach for Truth Discovery on Long-Tail Data

Summary: CATD: confidence-aware truth discovery for long-tail, multi-source data. It estimates source reliability with confidence intervals to dampen small-source bias and more accurately identify truths amid conflicts, outperforming prior methods on real and synthetic long-tail datasets. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11155
Venue
VLDB
Year
2015
Pagerank
6.5343479e-05
Overall Rank
4,011 | 72.10%
DOI
-

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