Identifying the Most Influential Data Objects with Reverse Top-k Queries
Summary: Defines influence as the number of users for whom a product is in their top-k (reverse top-k). Introduces SB and BB to identify top-m influential objects, with pruning and incremental BB; experiments on synthetic and real data show efficiency. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Akrivi Vlachou (Norwegian Institute of Technology)
- 2. Christos Doulkeridis (Norwegian Institute of Technology)
- 3. Kjetil Nørvåg (Norwegian Institute of Technology)
- 4. Yannis Kotidis (Athens University of Economics and Business)
BibTeX Citation
@article{vlachou_vldb10,
title = {{Identifying the Most Influential Data Objects with Reverse Top-k Queries}},
author = {Vlachou, Akrivi and Doulkeridis, Christos and Nørvåg, Kjetil and Kotidis, Yannis},
journal = {PVLDB},
series = {{VLDB} '10},
volume = {3},
number = {1},
pages = {364--375},
doi = {10.14778/1920841.1920890},
url = {https://doi.org/10.14778/1920841.1920890},
year = {2010}
}Incoming Citations (Sorted by Pagerank)
Showing 10 of 10 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,895 | Answering Why-not Questions on Reverse Top-k Queries | 2015 | VLDB | 7.9829449e-05 |
| 4,514 | Branch-and-Bound Algorithm for Reverse Top-k Queries | 2013 | SIGMOD | 6.6500719e-05 |
| 5,278 | Why Not Yet: Fixing a Top-k Ranking that Is Not Fair to Individuals | 2023 | VLDB | 6.2856584e-05 |
| 5,796 | Reverse k-Ranks Query | 2014 | VLDB | 6.0859929e-05 |
| 6,249 | Maximum Rank Query | 2015 | VLDB | 5.9418925e-05 |
| 7,378 | Maximizing Bichromatic Reverse Spatial and Textual k Nearest Neighbor Queries | 2016 | VLDB | 5.6294729e-05 |
| 8,825 | Creating Top Ranking Options in the Continuous Option and Preference Space | 2019 | VLDB | 5.3616725e-05 |
| 9,010 | Determining the Impact Regions of Competing Options in Preference Space | 2017 | SIGMOD | 5.3333957e-05 |
| 9,900 | On m-Impact Regions and Standing Top-k Influence Problems | 2021 | SIGMOD | 5.1997534e-05 |
| 11,565 | tau-LevelIndex: Towards Efficient Query Processing in Continuous Preference Space | 2022 | SIGMOD | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 8 of 8 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 546 | Influence Sets Based on Reverse Nearest Neighbor Queries | 2000 | SIGMOD | 0.00016734556 |
| 635 | Evaluating Top-k Selection Queries | 1999 | VLDB | 0.00015527042 |
| 1,847 | Efficient Computation of Reverse Skyline Queries | 2007 | VLDB | 9.6252055e-05 |
| 2,730 | DADA: A Data Cube for Dominant Relationship Analysis | 2006 | SIGMOD | 8.1977425e-05 |
| 2,761 | On Computing Top-t Most Influential Spatial Sites | 2005 | VLDB | 8.154319e-05 |
| 3,118 | Efficient Method for Maximizing Bichromatic Reverse Nearest Neighbor | 2009 | VLDB | 7.7373846e-05 |
| 3,521 | Promotion Analysis in Multi-Dimensional Space | 2009 | VLDB | 7.3501396e-05 |
| 4,170 | Creating Competitive Products | 2009 | VLDB | 6.8543709e-05 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 12,308 | Optimal Top-k Generation of Attribute Combinations based on Ranked Lists | 2012 | SIGMOD |
| 2 | 6,249 | Maximum Rank Query | 2015 | VLDB |
| 3 | 8,281 | Efficient Top-K Processing Over Query-Dependent Functions | 2008 | VLDB |
| 4 | 12,331 | Answering Top-k Queries Over a Mixture of Attractive and Repulsive Dimensions | 2012 | VLDB |
| 5 | 2,827 | Efficient Processing of Top-k Dominating Queries on Multi-Dimensional Data | 2007 | VLDB |
| 6 | 6,374 | Ranking Objects by Exploiting Relationships: Computing Top-K over Aggregation | 2006 | SIGMOD |
| 7 | 2,427 | Processing a Large Number of Continuous Preference Top-k Queries | 2012 | SIGMOD |
| 8 | 9,900 | On m-Impact Regions and Standing Top-k Influence Problems | 2021 | SIGMOD |
| 9 | 5,796 | Reverse k-Ranks Query | 2014 | VLDB |
| 10 | 4,514 | Branch-and-Bound Algorithm for Reverse Top-k Queries | 2013 | SIGMOD |