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Rank aggregation with ties: Experiments and Analysis

Summary: First large-scale study of rank aggregation with ties: reviews tie-handling algorithms and presents the first exact solver. Large-scale empirical evaluation on real and synthetic data shows when to prefer each method based on dataset features. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11187
Venue
VLDB
Year
2015
Pagerank
5.795458e-05
Overall Rank
6,717 | 53.92%
DOI
10.14778/2809974.2809982

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{brancotte_vldb15,
        title = {{Rank aggregation with ties: Experiments and Analysis}},
        author = {Brancotte, Bryan and Cohen-Boulakia, Sarah and Yang, Bo and Denise, Alain and Blin, Guillaume and Hamel, Sylvie},
        journal = {PVLDB},
        series = {{VLDB} '15},
        volume = {8},
        number = {11},
        pages = {1202--1213},
        doi = {10.14778/2809974.2809982},
        url = {https://doi.org/10.14778/2809974.2809982},
        year = {2015}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
7,449 Rank Aggregation with Proportionate Fairness 2022 SIGMOD 5.614576e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 5 of 5 cited papers.

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

Rank Cited Paper Year Venue Pagerank
690 Efficient Similarity Search and Classification via Rank Aggregation 2003 SIGMOD 0.0001492934
2,652 Comparing and Aggregating Rankings with Ties 2004 PODS 8.291138e-05
7,642 A System for Management and Analysis of Preference Data 2014 VLDB 5.5765908e-05
7,643 Understanding local structure in ranked datasets 2013 CIDR 5.5765908e-05
8,934 Similarity Search for Scientific Workflows 2014 VLDB 5.3483178e-05
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