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.
| Version: | 1.0.1 |
| Depends: | R (≥ 3.4.0) |
| Published: | 2020-01-18 |
| Author: | Courtney Paulson [aut, cre], Lan Luo [ctb], Gareth James [ctb] |
| Maintainer: | Courtney Paulson <courtneypaulson at suu.edu> |
| License: | GPL-3 |
| URL: | <https://journals.sagepub.com/doi/abs/10.1509/jmr.15.0307> |
| NeedsCompilation: | no |
| CRAN checks: | ELMSO results |
| Reference manual: | ELMSO.pdf |
| Package source: | ELMSO_1.0.1.tar.gz |
| Windows binaries: | r-devel: ELMSO_1.0.1.zip, r-release: ELMSO_1.0.1.zip, r-oldrel: ELMSO_1.0.1.zip |
| macOS binaries: | r-release: ELMSO_1.0.1.tgz, r-oldrel: ELMSO_1.0.1.tgz |
| Old sources: | ELMSO archive |
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