Best Position Algorithms for Top-k Queries
Summary: Proposes BPA and BPA2 for top-k on sorted lists, beating the Threshold Algorithm (TA). BPA stops earlier; its stop position and cost can be (m-1)× lower than TA, while BPA2 reduces list accesses by roughly (m-1)×, with experiments showing gains. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
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Incoming Citations (Sorted by Pagerank)
Showing 8 of 8 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 495 | Milvus: A Purpose-Built Vector Data Management System | 2021 | SIGMOD | 0.00021767688 |
| 2,262 | Manu: A Cloud Native Vector Database Management System | 2022 | VLDB | 9.1624446e-05 |
| 5,095 | Branch-and-Bound Algorithm for Reverse Top-k Queries | 2013 | SIGMOD | 5.7021328e-05 |
| 5,615 | A Scalable Index for Top-k Subtree Similarity Queries | 2019 | SIGMOD | 5.4101086e-05 |
| 6,000 | DeepEverest: Accelerating Declarative Top-K Queries for Deep Neural Network Interpretation | 2022 | VLDB | 5.2415551e-05 |
| 7,276 | Efficient and Generic Evaluation of Ranked Queries | 2011 | SIGMOD | 4.7798595e-05 |
| 7,435 | On Efficient Top-k Query Processing in Highly Distributed Environments | 2008 | SIGMOD | 4.731326e-05 |
| 11,195 | rkHit: Representative Query with Uncertain Preference | 2023 | SIGMOD | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 11 of 11 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7 | Optimal Aggregation Algorithms for Middleware [Extended Abstract] | 2001 | PODS | 0.0015496097 |
| 745 | Distributed Top-K Monitoring | 2003 | SIGMOD | 0.00017330487 |
| 1,073 | Finding and Approximating Top-k Answers in Keyword Proximity Search | 2006 | PODS | 0.00014264992 |
| 1,096 | Minimal Probing: Supporting Expensive Predicates for Top-k Queries | 2002 | SIGMOD | 0.00014120512 |
| 1,784 | Continuous Monitoring of Top-k Queries over Sliding Windows | 2006 | SIGMOD | 0.00010567363 |
| 2,009 | IO-Top-k: Index-access Optimized Top-k Query Processing | 2006 | VLDB | 9.7977564e-05 |
| 2,933 | Answering Top-k Queries Using Views | 2006 | VLDB | 7.8679669e-05 |
| 2,989 | KLEE: A Framework for Distributed Top-k Query Algorithms | 2005 | VLDB | 7.7733083e-05 |
| 3,018 | Approximate NN Queries on Streams with Guaranteed Error/performance Bounds | 2004 | VLDB | 7.7002798e-05 |
| 3,091 | Optimized Query Execution in Large Search Engines with Global Page Ordering | 2003 | VLDB | 7.5805947e-05 |
| 12,437 | Data Currency in Replicated DHTs | 2007 | SIGMOD | 4.1945683e-05 |
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,784 | Continuous Monitoring of Top-k Queries over Sliding Windows | 2006 | SIGMOD | 0.00010567363 |
| 2,933 | Answering Top-k Queries Using Views | 2006 | VLDB | 7.8679669e-05 |
| 2,009 | IO-Top-k: Index-access Optimized Top-k Query Processing | 2006 | VLDB | 9.7977564e-05 |
| 11,825 | Efficient Top-k Indexing via General Reductions | 2016 | PODS | 4.1945683e-05 |
| 7,963 | Efficient Top-K Processing Over Query-Dependent Functions | 2008 | VLDB | 4.613363e-05 |
| 7,276 | Efficient and Generic Evaluation of Ranked Queries | 2011 | SIGMOD | 4.7798595e-05 |
| 7,692 | Processing Top-k Join Queries | 2010 | VLDB | 4.6761366e-05 |
| 7,135 | Anytime Measures for Top-k Algorithms | 2007 | VLDB | 4.8221884e-05 |
| 3,908 | Progressive and Selective Merge: Computing Top-K with Ad-hoc Ranking Functions | 2007 | SIGMOD | 6.6392878e-05 |
| 12,111 | Optimal Top-k Generation of Attribute Combinations based on Ranked Lists | 2012 | SIGMOD | 4.1945683e-05 |