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- W2183373924 abstract "We propose a novel idea in the allocation and serving of online advertising. We show that by using predetermined fixed-length streams of ads (which we call patterns) to serve advertising, we can incorporate a variety of interesting features into the ad allocation optimization problem. In particular, our formulation optimizes for representativeness as well as user-level diversity and pacing of ads, under reach and frequency requirements. We show how the problem can be solved efficiently using a column generation scheme in which only a small set of best patterns are kept in the optimization problem. Our numerical tests suggest that with parallelization of the pattern generation process, the algorithm has a promising run time and memory usage." @default.
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- W2183373924 date "2014-06-21" @default.
- W2183373924 modified "2023-09-28" @default.
- W2183373924 title "Delivering Guaranteed Display Ads under Reach and Frequency Requirements" @default.
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- W2183373924 doi "https://doi.org/10.1609/aaai.v28i1.9030" @default.
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