Representative Query Results by Voting
Summary: Introduces SimSTV to select a representative subset S of T that mirrors its value distribution and proportion, not diversity. Voting-theory-inspired, efficient algorithm with extensions (e.g., affirmative action); experiments validate effectiveness. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Rachel Behar
- 2. Sara Cohen
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Outgoing Citations (Sorted by Pagerank)
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 8 | Optimal Aggregation Algorithms for Middleware [Extended Abstract] | 2001 | PODS | 0.0015436578 |
| 1,577 | Designing Fair Ranking Schemes | 2019 | SIGMOD | 0.00011276814 |
| 4,060 | On the Complexity of Query Result Diversification | 2013 | VLDB | 6.4840236e-05 |
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