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Branch-and-Bound Algorithm for Reverse Top-k Queries

Summary: Proposes a branch-and-bound algorithm for reverse top-k queries that avoids per-user top-k executions and full preference scans. Leverages pruning properties and optimizations; experiments show large gains over RTA on large preference collections. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4688
Venue
SIGMOD
Year
2013
Pagerank
5.7113169e-05
Overall Rank
5,074 | 64.74%
DOI
-

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