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May, 2023
基于减少级联模型的在线影响最大化
Online Influence Maximization under Decreasing Cascade Model
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Fang Kong, Jize Xie, Baoxiang Wang, Tao Yao, Shuai Li
TL;DR
通过DC模型研究在线影响力最大化问题，提出了DC-UCB算法解决了市场饱和现象带来的影响，经过实验验证算法效果优秀。
Abstract
We study
online influence maximization
(OIM) under a new model of decreasing cascade (DC). This model is a generalization of the independent cascade (IC) model by considering the common phenomenon of
market saturation
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