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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)

Paper ID
11175
Venue
VLDB
Year
2015
Pagerank
8.9668012e-05
Overall Rank
2,199 | 84.92%
DOI
10.14778/2794367.2794373

Incoming Non-self Citations Over Time

Authors

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}
}

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