The economics of attention: maximizing user value in information-rich environments

Authors:
Bernardo A. Huberman;Fang Wu
Affiliations:
HP Labs, Palo Alto, CA;HP Labs, Palo Alto, CA
Venue:
Proceedings of the 1st international workshop on Data mining and audience intelligence for advertising
Year:
2007

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Abstract

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.