Contextual Bandits for Advertising Campaigns: A Diffusion-Model Independent Approach (Extended Version). (arXiv:2201.05231v1 [cs.LG])

Motivated by scenarios of information diffusion and advertising in social
media, we study an influence maximization problem in which little is assumed to
be known about the diffusion network or about the model that determines how
information may propagate. In such a highly uncertain environment, one can
focus on multi-round diffusion campaigns, with the objective to maximize the
number of distinct users that are influenced or activated, starting from a
known base of few influential nodes. During a campaign, spread …

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