Query Reranking As A Service
Summary: Defines a third-party query reranking service that uses only the DB's public search interface to support any user-defined ranking function. Introduces on-the-fly indexing, domination detection, and virtual tuple pruning to reduce cost, with worst-case analysis and real-world offline/online validation. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
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Authors
- 1. Abolfazl Asudeh
- 2. Nan Zhang
- 3. Gautam Das
Incoming Citations (Sorted by Pagerank)
Showing 7 of 7 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,577 | Designing Fair Ranking Schemes | 2019 | SIGMOD | 0.00011276814 |
| 5,113 | Efficient Computation of Regret-ratio Minimizing Set: A Compact Maxima Representative | 2017 | SIGMOD | 5.6827696e-05 |
| 5,558 | On Obtaining Stable Rankings | 2019 | VLDB | 5.4375292e-05 |
| 6,462 | Tailoring Data Source Distributions for Fairness-aware Data Integration | 2021 | VLDB | 5.0479645e-05 |
| 6,804 | RRR: Rank-Regret Representative | 2019 | SIGMOD | 4.917138e-05 |
| 6,816 | A Unified Optimization Algorithm For Solving "Regret-Minimizing Representative" Problems | 2020 | VLDB | 4.9115662e-05 |
| 13,310 | MithraRanking: A System for Responsible Ranking Design | 2019 | SIGMOD | - |
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Outgoing Citations (Sorted by Pagerank)
Showing 13 of 13 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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