Stretch 'n' Shrink: Resizing Queries to User Preferences
Summary: Stretch 'n' Shrink: a query-design framework that encodes user target answer size and iteratively adjusts the query via feedback to hit that cardinality. Prototype in an open-source data manager with minimal database-engine modifications, signaling practical, deployable integration. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Chaitanya Mishra (University of Toronto)
- 2. Nick Koudas (University of Toronto)
BibTeX Citation
@inproceedings{mishra_sigmod08,
title = {{Stretch 'n' Shrink: Resizing Queries to User Preferences}},
author = {Mishra, Chaitanya and Koudas, Nick},
series = {{SIGMOD} '08},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/1376616.1376741},
url = {https://dl.acm.org/doi/10.1145/1376616.1376741},
year = {2008}
}
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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 |
|---|---|---|---|---|
| 5 | Optimal Aggregation Algorithms for Middleware [Extended Abstract] | 2001 | PODS | 0.0010828372 |
| 380 | On Saying "Enough Already!" in SQL | 1997 | SIGMOD | 0.00019563191 |
| 1,186 | Fixed-Precision Estimation of Join Selectivity | 1993 | PODS | 0.00011764128 |
| 1,636 | Relaxing Join and Selection Queries | 2006 | VLDB | 0.00010156479 |
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