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ELMSO (version 1.0.1)

Implementation of the Efficient Large-Scale Online Display Advertising Algorithm

Description

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 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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Version

Install

install.packages('ELMSO')

Monthly Downloads

165

Version

1.0.1

License

GPL-3

Maintainer

Courtney Paulson

Last Published

January 18th, 2020

Functions in ELMSO (1.0.1)

reach.ELMSO

Calculating Reach from Main ELMSO Function
ELMSO.fixed

Fixed ELMSO Function (fixed advertising costs, no cost curve)
reach.ELMSO.fixed

Calculating Reach from Fixed ELMSO Function
ELMSO

Main ELMSO Function