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ELMSO

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://faculty.marshall.usc.edu/gareth-james/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.

Versions across snapshots

VersionRepositoryFileSize
1.0.1 rolling source/ R- ELMSO_1.0.1.tar.gz 4.0 KiB
1.0.1 latest source/ R- ELMSO_1.0.1.tar.gz 4.0 KiB
1.0.1 2026-04-09 windows/windows R-4.5 ELMSO_1.0.1.zip 28.1 KiB