Implementation of the Efficient Large-Scale Online Display Advertising Algorithm

An implementation of the algorithm described in "Efficient Large- Scale Internet Media Selection Optimization for Online Display Advertising" by Paulson, Luo, and James (Journal of Marketing Research 2018; see URL below for journal text/citation and < http://www-bcf.usc.edu/~gareth/research/ELMSO.pdf> for a full-text version of the paper). The algorithm here is designed to allocate budget across a set of online advertising opportunities using a coordinate-descent approach, but it can be used in any resource-allocation problem with a matrix of visitation (in the case of the paper, website page- views) and channels (in the paper, websites). The package contains allocation functions both in the presence of bidding, when allocation is dependent on channel-specific cost curves, and when advertising costs are fixed at each channel.


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install.packages("ELMSO")

1.0.0 by Courtney Paulson, 3 months ago


< http://journals.ama.org/doi/10.1509/jmr.15.0307>


Browse source code at https://github.com/cran/ELMSO


Authors: Courtney Paulson [aut, cre] , Lan Luo [ctb] , Gareth James [ctb]


Documentation:   PDF Manual  


GPL-3 license



See at CRAN