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Efficient Top-K Processing Over Query-Dependent Functions

Summary: Top-k processing for data where item scores are computed by item-specific functions with a query-time parameter. Introduces a workload-aware, interval-based parameter compression that bounds scores and prunes candidates, avoiding per-item evaluation. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
9735
Venue
VLDB
Year
2008
Pagerank
4.613363e-05
Overall Rank
7,963 | 44.61%
DOI
-

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Rank Citing Paper Year Venue Pagerank
12,271 Database-support for Continuous Prediction Queries over Streaming Data 2010 VLDB 4.1945683e-05
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