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A Rating-Ranking Method for Crowdsourced Top-k Computation

Summary: Introduces rating-ranking crowdsourcing for top-k, avoiding quadratic pairwise comparisons. A unified model blends coarse rating and fine ranking questions with query selection/assignment, yielding cost-efficient, accurate top-k results. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5544
Venue
SIGMOD
Year
2018
Pagerank
5.093636e-05
Overall Rank
11,912 | 18.28%
DOI
10.1145/3183713.3183762

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

BibTeX Citation

@inproceedings{li_sigmod18,
        title = {{A Rating-Ranking Method for Crowdsourced Top-k Computation}},
        author = {Li, Kaiyu and Zhang, Xiaohang and Li, Guoliang},
        series = {{SIGMOD} '18},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3183713.3183762},
        url = {https://dl.acm.org/doi/10.1145/3183713.3183762},
        year = {2018}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
6,899 Human-in-the-loop Outlier Detection 2020 SIGMOD 5.7431609e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 20 of 20 cited papers.

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

Rank Cited Paper Year Venue Pagerank
90 CrowdDB: Answering Queries with Crowdsourcing 2011 SIGMOD 0.00034951786
196 CrowdER: Crowdsourcing Entity Resolution 2012 VLDB 0.00025780596
251 Crowdsourced Databases: Query Processing with People 2011 CIDR 0.00023261113
265 Human-powered Sorts and Joins 2012 VLDB 0.00022935368
743 So Who Won? Dynamic Max Discovery with the Crowd 2012 SIGMOD 0.00014421358
852 Leveraging Transitive Relations for Crowdsourced Joins 2013 SIGMOD 0.00013604253
997 CrowdScreen: Algorithms for Filtering Data with Humans 2012 SIGMOD 0.00012755983
1,910 Counting with the Crowd 2013 VLDB 9.4972788e-05
2,409 Deco: A System for Declarative Crowdsourcing 2012 VLDB 8.6145078e-05
2,636 CrowdFill: Collecting Structured Data from the Crowd 2014 SIGMOD 8.31868e-05
3,231 Truth Inference in Crowdsourcing: Is the Problem Solved? 2017 VLDB 7.6191767e-05
3,262 iCrowd: An Adaptive Crowdsourcing Framework 2015 SIGMOD 7.5846052e-05
3,904 QASCA: A Quality-Aware Task Assignment System for Crowdsourcing Applications 2015 SIGMOD 7.0304212e-05
4,538 Cost-Effective Crowdsourced Entity Resolution: A Partial-Order Approach 2016 SIGMOD 6.6404776e-05
4,821 Crowdsourced Top-k Queries by Confidence-Aware Pairwise Judgments 2017 SIGMOD 6.4935866e-05
4,915 Crowdsourced Top-k Algorithms: An Experimental Evaluation 2016 VLDB 6.4477856e-05
7,357 Crowdsourced Data Management: Overview and Challenges 2017 SIGMOD 5.6346837e-05
7,493 Human-in-the-loop Data Integration 2017 VLDB 5.6046905e-05
9,401 CDB: Optimizing Queries with Crowd-Based Selections and Joins 2017 SIGMOD 5.2755515e-05
12,019 DOCS: Domain-Aware Crowdsourcing System 2017 VLDB 5.093636e-05
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