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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
3768
Venue
SIGMOD
Year
2006
Pagerank
6.0246358e-05
Overall Rank
4,637 | 67.78%
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
1,606 Addressing Diverse User Preferences in SQL-Query-Result Navigation 2007 SIGMOD 0.00011175693
5,558 On Obtaining Stable Rankings 2019 VLDB 5.4375292e-05
8,505 ARCube: Supporting Ranking Aggregate Queries in Partially Materialized Data Cubes 2008 SIGMOD 4.4915213e-05
9,340 Context-sensitive Ranking for Document Retrieval 2011 SIGMOD 4.351469e-05
12,396 Dynamic Active Probing of Helpdesk Databases 2008 VLDB 4.1905499e-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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