Result for 04411A610D2060674E2FFB81B87463925F56C767

Query result

Key Value
FileName./usr/lib64/R/library/ELMSO/DESCRIPTION
FileSize1696
MD58B0F739A4A49B116BC478D2D1A69631C
SHA-104411A610D2060674E2FFB81B87463925F56C767
SHA-256458E1AC1A638386E097BF16C6896FCB96B5DF8DF3DFF405541A6BF4CD06CE8AB
SSDEEP48:ztL612/1K2tnWTo22ZEYxRYthm047CMdSqkI0Nnq:p8C1LAo22KpqCMdS7I0M
TLSHT158319627E5042333678911A334E513867320A157B6718A247D0DD9284F09F3EDBBBF5C
hashlookup:parent-total1
hashlookup:trust55

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Parents (Total: 1)

The searched file hash is included in 1 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD586CDB60703BCBA4A1E67B68986D0A1A6
PackageArchx86_64
PackageDescriptionAn 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.
PackageMaintainerhttps://www.suse.com/
PackageNameR-ELMSO
PackageReleaselp154.2.1
PackageVersion1.0.1
SHA-18719E1D28831FE704C5ED4B4A6B07B8A91FA7E80
SHA-25689E84239E5DFDEB422334EB924E20EA06AA6226EBA14C8F19D64F14A6BA84E9A