Database Paper Browser

Back to papers

IO-Top-k: Index-access Optimized Top-k Query Processing

Summary: IO-Top-k: scheduling for top-k over index lists, optimizing sequential access order and selective random lookups. Knapsack-based sequencing, random-access model, and probabilistic estimators for scores and selectivities yield large gains over prior methods. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
9462
Venue
VLDB
Year
2006
Pagerank
9.7977564e-05
Overall Rank
2,009 | 86.03%
DOI
-

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 15 of 15 citing papers.

Previous Page 1 / 1 Next

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.

Previous Page 1 / 1 Next

Semantically Similar Papers