Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
On Finding the Maxima of a Set of Vectors
Journal of the ACM (JACM)
Aesthetic measures for automated document layout
Proceedings of the 2004 ACM symposium on Document engineering
Algorithms and analyses for maximal vector computation
The VLDB Journal — The International Journal on Very Large Data Bases
Aesthetic measure of alignment and regularity
Proceedings of the 9th ACM symposium on Document engineering
Review of automatic document formatting
Proceedings of the 9th ACM symposium on Document engineering
Computational Geometry: Algorithms and Applications
Computational Geometry: Algorithms and Applications
Probabilistic document model for automated document composition
Proceedings of the 11th ACM symposium on Document engineering
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We consider the problem of automatically inserting advertisements (ads) into machine composed documents. We explicitly analyze the fundamental tradeoff between expected revenue due to ad insertion and the quality of the corresponding composed documents. We show that the optimal tradeoff a publisher can expect may be expressed as an efficient-frontier in the revenue-quality space. We develop algorithms to compose documents that lie on this optimal tradeoff frontier. These algorithms can automatically choose distributions of ad sizes and ad placement locations to optimize revenue for a given quality or optimize quality for given revenue. Such automation allows a market maker to accept highly personalized content from publishers who have no design or ad inventory management capability and distribute formatted documents to end users with aesthetic ad placement. The ad density/coverage may be controlled by the publisher or the end user on a per document basis by simply sliding along the tradeoff frontier. Business models where ad sales precede (ad-pull) or follow (ad-push) document composition are analyzed from a document engineering perspective.