Context-Sensitive Ranking
Summary: Proposes context-sensitive ranking by reconciling cyclic preferences into contextual orders. Off-line preprocessing stores a few typical orders per context for fast query-time ranking; includes formal definitions, algorithms, and experimental validation. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Rakesh Agrawal (Microsoft)
- 2. Ralf Rantzau (IBM)
- 3. Evimaria Terzi (Helsinki Institute for Information Technology; University of Helsinki)
BibTeX Citation
@inproceedings{agrawal_sigmod06,
title = {{Context-Sensitive Ranking}},
author = {Agrawal, Rakesh and Rantzau, Ralf and Terzi, Evimaria},
series = {{SIGMOD} '06},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/1142473.1142517},
url = {https://dl.acm.org/doi/10.1145/1142473.1142517},
year = {2006}
}
Incoming Citations (Sorted by Pagerank)
Showing 5 of 5 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,725 | Addressing Diverse User Preferences in SQL-Query-Result Navigation | 2007 | SIGMOD | 9.9197083e-05 |
| 5,465 | On Obtaining Stable Rankings | 2019 | VLDB | 6.2075408e-05 |
| 8,649 | ARCube: Supporting Ranking Aggregate Queries in Partially Materialized Data Cubes | 2008 | SIGMOD | 5.3916641e-05 |
| 9,484 | Context-sensitive Ranking for Document Retrieval | 2011 | SIGMOD | 5.2634238e-05 |
| 12,581 | Dynamic Active Probing of Helpdesk Databases | 2008 | VLDB | 5.093636e-05 |
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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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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 2,427 | Processing a Large Number of Continuous Preference Top-k Queries | 2012 | SIGMOD |
| 2 | 5,465 | On Obtaining Stable Rankings | 2019 | VLDB |
| 3 | 13,483 | Supporting Hard Queries over Probabilistic Preferences | 2020 | VLDB |
| 4 | 6,249 | Maximum Rank Query | 2015 | VLDB |
| 5 | 7,643 | Understanding local structure in ranked datasets | 2013 | CIDR |
| 6 | 2,571 | Ranking with Uncertain Scoring Functions: Semantics and Sensitivity Measures | 2011 | SIGMOD |
| 7 | 3,984 | Learning User Preferences By Adaptive Pairwise Comparison | 2015 | VLDB |
| 8 | 8,825 | Creating Top Ranking Options in the Continuous Option and Preference Space | 2019 | VLDB |
| 9 | 9,010 | Determining the Impact Regions of Competing Options in Preference Space | 2017 | SIGMOD |
| 10 | 9,484 | Context-sensitive Ranking for Document Retrieval | 2011 | SIGMOD |