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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)

Paper ID
had90dca71d51362f
Venue
SIGMOD
Year
2006
Pagerank
6.4591302e-05
Overall Rank
4,705 | 68.37%
DOI
10.1145/1142473.1142517

Incoming Non-self Citations Over Time

Authors

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
1,729 Addressing Diverse User Preferences in SQL-Query-Result Navigation 2007 SIGMOD 9.7679275e-05
5,610 On Obtaining Stable Rankings 2019 VLDB 6.0686149e-05
8,814 ARCube: Supporting Ranking Aggregate Queries in Partially Materialized Data Cubes 2008 SIGMOD 5.2710039e-05
9,467 Context-sensitive Ranking for Document Retrieval 2011 SIGMOD 5.1718701e-05
12,871 Dynamic Active Probing of Helpdesk Databases 2008 VLDB 4.9793485e-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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