Real-time Targeted Influence Maximization for Online Advertisements
Summary: KB-TIM for online ads targets seed sets to maximize influence among ad-relevant users. Disk-based, weighted reverse influence sampling yields (1 - 1/e - ε) approximation with two orders of magnitude faster queries on billion-edge graphs (≈2s for 5 keywords). (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Yuchen Li (National University of Singapore)
- 2. Dongxiang Zhang (National University of Singapore)
- 3. Kian-Lee Tan (National University of Singapore)
BibTeX Citation
@article{li_vldb15,
title = {{Real-time Targeted Influence Maximization for Online Advertisements}},
author = {Li, Yuchen and Zhang, Dongxiang and Tan, Kian-Lee},
journal = {PVLDB},
series = {{VLDB} '15},
volume = {8},
number = {10},
pages = {1070--1081},
doi = {10.14778/2794367.2794373},
url = {https://doi.org/10.14778/2794367.2794373},
year = {2015}
}
Incoming Citations (Sorted by Pagerank)
Showing 11 of 11 citing papers.
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Outgoing Citations (Sorted by Pagerank)
Showing 4 of 4 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5 | Optimal Aggregation Algorithms for Middleware [Extended Abstract] | 2001 | PODS | 0.0010828372 |
| 194 | Influence Maximization: Near-Optimal Time Complexity Meets Practical Efficiency | 2014 | SIGMOD | 0.000259047 |
| 2,260 | Online Topic-Aware Influence Maximization | 2015 | VLDB | 8.8526838e-05 |
| 4,725 | Efficient Location-Aware Influence Maximization | 2014 | SIGMOD | 6.5373017e-05 |
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| 9 | 8,795 | Finding Seeds and Relevant Tags Jointly: For Targeted Influence Maximization in Social Networks | 2018 | SIGMOD |
| 10 | 2,260 | Online Topic-Aware Influence Maximization | 2015 | VLDB |