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

Summary: CATD addresses truth discovery under long-tailed source participation, where sparse sources yield unreliable reliability estimates. It incorporates confidence intervals into source-reliability estimation, discounting small sources and improving truth inference over state-of-the-art methods. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
11343
Venue
VLDB
Year
2015
Pagerank
7.3279455e-05
Overall Rank
3,542 | 75.70%
DOI
10.14778/2735496.2735504

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{li_vldb15,
        title = {{A Confidence-Aware Approach for Truth Discovery on Long-Tail Data}},
        author = {Li, Qi and Li, Yaliang and Gao, Jing and Su, Lu and Zhao, Bo and Demirbas, Murat and Fan, Wei and Han, Jiawei},
        journal = {PVLDB},
        series = {{VLDB} '15},
        volume = {8},
        number = {4},
        pages = {425--436},
        doi = {10.14778/2735496.2735504},
        url = {https://doi.org/10.14778/2735496.2735504},
        year = {2015}
}

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