GAC: A deep reinforcement learning model toward user incentivization in unknown social networks-Reference-Cited by-同舟云学术

GAC: A deep reinforcement learning model toward user incentivization in unknown social networks

Published:2023-01 Issue: Volume:259 Page:110060
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Wu Shiqing^ORCID,Li Weihua^ORCID,Bai Quan^ORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference46 articles.

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2. W. Zhang, D. Zhao, Y. Zhang, Incentivize Diffusion with Fair Rewards, in: Proceedings of the 24th European Conference on Artificial Intelligence, 2020, pp. 251–258.

3. Y. Singer, M. Mittal, Pricing Mechanisms for Crowdsourcing Markets, in: Proceedings of the 22nd International Conference on World Wide Web, 2013, pp. 1157–1166.

4. Incentivize multi-class crowd labeling under budget constraint;Gan;IEEE J. Sel. Areas Commun.,2017

5. C. Qiu, A. Squicciarini, B. Hanrahan, Incentivizing Distributive Fairness for Crowdsourcing Workers, in: Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019, pp. 404–412.

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