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The Economics of Attention: Maximizing User Value in Information Rich Environments


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Bernardo A. Huberman and Fang Wu
Information Dynamics Laboratory, HP Labs


We introduce an automatic configuration mechanism that generates the most relevant information to be presented to limited attention users of information-rich media. It also guarantees to maximize their total expected utility from the information they receive. A computationally efficient algorithm is used to assign an index value to each information item, which then determines whether or not a given item appears in the top list presented to users at a given time.

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