DBScholar

Back to papers

Revenue Maximization in Incentivized Social Advertising

Summary: Models revenue as monotone submodular maximization under partition matroid and submodular knapsack budgets; NP-hard. Proposes two greedy algorithms with provable guarantees; scalable marginal-gain estimation via influence; experiments confirm. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11597
Venue
VLDB
Year
2017
Pagerank
6.5032332e-05
Overall Rank
4,795 | 67.11%
DOI
10.14778/3137628.3137630

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{aslay_vldb17,
        title = {{Revenue Maximization in Incentivized Social Advertising}},
        author = {Aslay, Cigdem and Bonchi, Francesco and Lakshmanan, Laks V.S. and Lu, Wei},
        journal = {PVLDB},
        series = {{VLDB} '17},
        volume = {10},
        number = {11},
        pages = {1238--1251},
        doi = {10.14778/3137628.3137630},
        url = {https://doi.org/10.14778/3137628.3137630},
        year = {2017}
}

Incoming Citations (Sorted by Pagerank)

Showing 9 of 9 citing papers.

Previous Page 1 / 1 Next

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.

Previous Page 1 / 1 Next

Semantically Similar Papers