On m-Impact Regions and Standing Top-k Influence Problems
Summary: Defines m-Impact Regions (mIR) to identify attribute-value regions that place a product in the top-k for a user fraction, enabling targeted marketing and product refinement. Delivers exact, scalable algorithms for standing top-k influence, outperforming heuristics with real-review data experiments. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Bo Tang (Southern University of Science and Technology)
- 2. Kyriakos Mouratidis (Singapore Management University)
- 3. Mingji Han (Southern University of Science and Technology)
BibTeX Citation
@inproceedings{tang_sigmod21,
title = {{On m-Impact Regions and Standing Top-k Influence Problems}},
author = {Tang, Bo and Mouratidis, Kyriakos and Han, Mingji},
series = {{SIGMOD} '21},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3448016.3452832},
url = {https://dl.acm.org/doi/10.1145/3448016.3452832},
year = {2021}
}
Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 11,397 | rkHit: Representative Query with Uncertain Preference | 2023 | SIGMOD | 5.093636e-05 |
| 11,565 | tau-LevelIndex: Towards Efficient Query Processing in Continuous Preference Space | 2022 | SIGMOD | 5.093636e-05 |
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 20 of 20 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
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 8,825 | Creating Top Ranking Options in the Continuous Option and Preference Space | 2019 | VLDB |
| 2 | 12,331 | Answering Top-k Queries Over a Mixture of Attractive and Repulsive Dimensions | 2012 | VLDB |
| 3 | 12,308 | Optimal Top-k Generation of Attribute Combinations based on Ranked Lists | 2012 | SIGMOD |
| 4 | 4,514 | Branch-and-Bound Algorithm for Reverse Top-k Queries | 2013 | SIGMOD |
| 5 | 8,281 | Efficient Top-K Processing Over Query-Dependent Functions | 2008 | VLDB |
| 6 | 7,806 | Computing Immutable Regions for Subspace Top-k Queries | 2013 | VLDB |
| 7 | 5,796 | Reverse k-Ranks Query | 2014 | VLDB |
| 8 | 6,249 | Maximum Rank Query | 2015 | VLDB |
| 9 | 9,010 | Determining the Impact Regions of Competing Options in Preference Space | 2017 | SIGMOD |
| 10 | 4,466 | Identifying the Most Influential Data Objects with Reverse Top-k Queries | 2010 | VLDB |