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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
3767
Venue
SIGMOD
Year
2006
Pagerank
6.0303293e-05
Overall Rank
4,637 | 67.75%
DOI
-

Incoming Non-self Citations Over Time

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Incoming Citations (Sorted by Pagerank)

Showing 5 of 5 citing papers.

Rank Citing Paper Year Venue Pagerank
1,605 Addressing Diverse User Preferences in SQL-Query-Result Navigation 2007 SIGMOD 0.00011186762
5,555 On Obtaining Stable Rankings 2019 VLDB 5.4386174e-05
8,507 ARCube: Supporting Ranking Aggregate Queries in Partially Materialized Data Cubes 2008 SIGMOD 4.4955397e-05
9,335 Context-sensitive Ranking for Document Retrieval 2011 SIGMOD 4.3556432e-05
12,388 Dynamic Active Probing of Helpdesk Databases 2008 VLDB 4.1945683e-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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