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Host Profit Maximization: Leveraging Performance Incentives and User Flexibility

Summary: Maximizes a social host’s profit under performance-based payments, influence-source costs, and merchant adoption balance. Introduces Dynamic State Switching for users who reconsider products during comparative shopping, yielding a non-monotone submodular problem with scalable greedy guarantees. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
h6defcb1b0550a983
Venue
VLDB
Year
2024
Pagerank
4.9793485e-05
Overall Rank
11,663 | 21.59%
DOI
10.14778/3617838.3617843

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

BibTeX Citation

@article{chang_vldb24,
        title = {{Host Profit Maximization: Leveraging Performance Incentives and User Flexibility}},
        author = {Chang, Xueqin and Ke, Xiangyu and Chen, Lu and Ge, Congcong and Wei, Ziheng and Gao, Yunjun},
        journal = {PVLDB},
        series = {{VLDB} '24},
        volume = {17},
        number = {1},
        pages = {51--64},
        doi = {10.14778/3617838.3617843},
        url = {https://doi.org/10.14778/3617838.3617843},
        year = {2024}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
11,604 A Benchmark Study of Deep-RL Methods for Maximum Coverage Problems over Graphs 2024 VLDB 4.9793485e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 22 of 22 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
199 Influence Maximization: Near-Optimal Time Complexity Meets Practical Efficiency 2014 SIGMOD 0.00025522558
320 Influence Maximization in Near-Linear Time: A Martingale Approach 2015 SIGMOD 0.00021143147
455 Stop-and-Stare: Optimal Sampling Algorithms for Viral Marketing in Billion-scale Networks 2016 SIGMOD 0.0001796092
1,474 Online Processing Algorithms for Influence Maximization 2018 SIGMOD 0.00010556999
1,553 Debunking the Myths of Influence Maximization: An In-Depth Benchmarking Study 2017 SIGMOD 0.0001027493
2,278 Influence Maximization Revisited: Efficient Reverse Reachable Set Generation with Bound Tightened 2020 SIGMOD 8.7070902e-05
2,306 Online Topic-Aware Influence Maximization 2015 VLDB 8.6680219e-05
2,587 From Competition to Complementarity: Comparative Influence Diffusion and Maximization 2016 VLDB 8.2550609e-05
3,554 Revisiting the Stop-and-Stare Algorithms for Influence Maximization 2017 VLDB 7.2088217e-05
4,047 Viral Marketing Meets Social Advertising: Ad Allocation with Minimum Regret 2015 VLDB 6.8312773e-05
4,911 Revenue Maximization in Incentivized Social Advertising 2017 VLDB 6.3580802e-05
5,383 GetReal: Towards Realistic Selection of Influence Maximization Strategies in Competitive Networks 2015 SIGMOD 6.1543948e-05
5,823 Continuous Influence Maximization: What Discounts Should We Offer to Social Network Users? 2016 SIGMOD 5.9821401e-05
5,980 Maximizing Welfare in Social Networks under A Utility Driven Influence Diffusion model 2019 SIGMOD 5.9281309e-05
7,294 Misinformation Mitigation under Differential Propagation Rates and Temporal Penalties 2022 VLDB 5.5635731e-05
7,310 Collective Influence Maximization for Multiple Competing Products with an Awareness-to-Influence Model 2021 VLDB 5.5566021e-05
7,971 Minimizing the Regret of an Influence Provider 2021 SIGMOD 5.4150644e-05
8,757 Maximizing Social Welfare in a Competitive Diffusion Model 2021 VLDB 5.2840289e-05
8,958 Finding Seeds and Relevant Tags Jointly: For Targeted Influence Maximization in Social Networks 2018 SIGMOD 5.250435e-05
8,978 Efficient and Effective Algorithms for Revenue Maximization in Social Advertising 2021 SIGMOD 5.2448813e-05
10,032 Maximizing Fair Content Spread via Edge Suggestion in Social Networks 2022 VLDB 5.0925155e-05
10,033 Unconstrained Submodular Maximization with Modular Costs: Tight Approximation and Application to Profit Maximization 2021 VLDB 5.0925155e-05
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