Progressive and Selective Merge: Computing Top-K with Ad-hoc Ranking Functions
Summary: Progressive and Selective Merge: top-k with ad-hoc ranking functions. Index-merge over tree indices; double-heap for progressive search and generation; join-signature materialization prunes empty-states, enabling ~10x speed-up. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Dong Xin
- 2. Jiawei Han
- 3. Kevin Chen-Chuan Chang
Incoming Citations (Sorted by Pagerank)
Showing 9 of 9 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,655 | Secure kNN Computation on Encrypted Databases | 2009 | SIGMOD | 8.3622816e-05 |
| 8,035 | A New Approach for Processing Ranked Subsequence Matching Based on Ranked Union | 2011 | SIGMOD | 4.6009403e-05 |
| 8,040 | Distributed Threshold Querying of General Functions by a Difference of Monotonic Representation | 2011 | VLDB | 4.600049e-05 |
| 8,145 | Evaluating Top-k Queries with Inconsistency Degrees | 2020 | VLDB | 4.5761263e-05 |
| 9,453 | Towards Indexing Functions: Answering Scalar Product Queries | 2014 | SIGMOD | 4.339214e-05 |
| 9,961 | QueryArtisan: Generating Data Manipulation Codes for Ad-hoc Analysis in Data Lakes | 2025 | VLDB | 4.2294678e-05 |
| 12,111 | Optimal Top-k Generation of Attribute Combinations based on Ranked Lists | 2012 | SIGMOD | 4.1945683e-05 |
| 12,135 | Answering Top-k Queries Over a Mixture of Attractive and Repulsive Dimensions | 2012 | VLDB | 4.1945683e-05 |
| 12,173 | Exact Indexing for Support Vector Machines | 2011 | 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.
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,463 | Towards Robust Indexing for Ranked Queries | 2006 | VLDB | 7.069675e-05 |
| 7,963 | Efficient Top-K Processing Over Query-Dependent Functions | 2008 | VLDB | 4.613363e-05 |
| 5,855 | Optimal Join Algorithms Meet Top-k | 2020 | SIGMOD | 5.3006096e-05 |
| 3,665 | Ad-hoc Top-k Query Answering for Data Streams | 2007 | VLDB | 6.8633354e-05 |
| 7,513 | Ranking Large Temporal Data | 2012 | VLDB | 4.7180617e-05 |
| 2,009 | IO-Top-k: Index-access Optimized Top-k Query Processing | 2006 | VLDB | 9.7977564e-05 |
| 4,186 | Best Position Algorithms for Top-k Queries | 2007 | VLDB | 6.3764858e-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 |
| 12,111 | Optimal Top-k Generation of Attribute Combinations based on Ranked Lists | 2012 | SIGMOD | 4.1945683e-05 |