Query Answering Under Volume-Based Diversity Functions
Summary: Introduces volume-based diversity functions for query answers, avoiding unintuitive pairwise-distance aggregation. Despite NP-hardness for conjunctive queries, guarantees a universal (1−1/e)-approximation and links efficient computation to ranked enumeration. (summarized by gpt-5.6-luna on Jul 09 2026)
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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 |
|---|---|---|---|---|
| 401 | Conjunctive-Query Containment and Constraint Satisfaction | 1998 | PODS | 0.00024281448 |
| 564 | FAQ: Questions Asked Frequently | 2016 | PODS | 0.00020002796 |
| 593 | Lineage Tracing for General Data Warehouse Transformations | 2001 | VLDB | 0.0001952223 |
| 1,207 | RankSQL: Query Algebra and Optimization for Relational Top-k Queries | 2005 | SIGMOD | 0.0001327437 |
| 2,249 | Rank-aware Query Optimization | 2004 | SIGMOD | 9.1956569e-05 |
| 6,136 | RankSQL: Supporting Ranking Queries in Relational Database Management Systems | 2005 | VLDB | 5.1906626e-05 |
| 7,145 | Towards Tractability of the Diversity of Query Answers: Ultrametrics to the Rescue | 2024 | PODS | 4.8139975e-05 |
| 8,521 | Computing A Well-Representative Summary of Conjunctive Query Results | 2024 | PODS | 4.4893996e-05 |
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