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.

Getting started

Package details

AuthorCourtney Paulson [aut, cre], Lan Luo [ctb], Gareth James [ctb]
MaintainerCourtney Paulson <courtneypaulson@suu.edu>
URL <https://journals.sagepub.com/doi/abs/10.1509/jmr.15.0307>
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:

Try the ELMSO package in your browser

Any scripts or data that you put into this service are public.

ELMSO documentation built on Jan. 18, 2020, 9:06 a.m.