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Contextual Bandits for Advertising Campaigns: A Diffusion-Model Independent Approach (Extended Version)
During a campaign, spread seeds are selected sequentially at consecutive rounds, and feedback is collected in the form of the activated nodes at each round.
Bandits Under The Influence (Extended Version)
Our bandit algorithms are tailored precisely to recommendation scenarios where user interests evolve under social influence.
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