Abstract:Background: Ad Networks connect advertisers to websites that want to host advertisements. When users request websites, the Ad Network decides which ad to send so as to maximize the number of ads that are clicked by users. Due to the difficulty in solving such maximization problems, there are solutions in the literature that are based on linear programming (LP) relaxations. Methods: We contribute with a formulation for the Ad Network optimization problem, where it is cast as a Markov decision process (MDP). We … Show more
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