Comparing and Aggregating Rankings with Ties
Summary: Proposes principled metrics for comparing partial rankings with ties, gives efficient algorithms to compute them, and proves constant-factor relationships among the metrics. Formulates aggregation objectives and presents a database-access-aware algorithm that reads near-minimal entries to compute top-k of a near-optimal aggregate. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Ronald Fagin (IBM)
- 2. Ravi Kumar (IBM)
- 3. Mohammad Mahdian (IBM; Massachusetts Institute of Technology)
- 4. D. Sivakumar (IBM)
- 5. Erik Vee (IBM; University of Washington)
BibTeX Citation
@inproceedings{fagin_pods04,
address = {New York, NY, USA},
series = {{PODS} '04},
title = {{Comparing and Aggregating Rankings with Ties}},
url = {https://dl.acm.org/doi/10.1145/1055558.1055568},
doi = {10.1145/1055558.1055568},
booktitle = {Proceedings of the {ACM} {SIGMOD} Symposium on {Principles} of {Database} {Systems}},
publisher = {Association for Computing Machinery},
author = {Fagin, Ronald and Kumar, Ravi and Mahdian, Mohammad and Sivakumar, D. and Vee, Erik},
year = {2004}
}
Incoming Citations (Sorted by Pagerank)
Showing 7 of 7 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,526 | Ordering the Attributes of Query Results | 2006 | SIGMOD | 0.00010491673 |
| 2,683 | Mining Search Engine Query Logs via Suggestion Sampling | 2008 | VLDB | 8.2608808e-05 |
| 3,049 | Top-k Queries on Uncertain Data: On Score Distribution and Typical Answers | 2009 | SIGMOD | 7.8151597e-05 |
| 4,622 | Context-Sensitive Ranking | 2006 | SIGMOD | 6.6014783e-05 |
| 6,717 | Rank aggregation with ties: Experiments and Analysis | 2015 | VLDB | 5.795458e-05 |
| 7,642 | A System for Management and Analysis of Preference Data | 2014 | VLDB | 5.5765908e-05 |
| 11,850 | Top-k Queries over Digital Traces | 2019 | SIGMOD | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 2 of 2 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5 | Optimal Aggregation Algorithms for Middleware [Extended Abstract] | 2001 | PODS | 0.0010828372 |
| 690 | Efficient Similarity Search and Classification via Rank Aggregation | 2003 | SIGMOD | 0.0001492934 |
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