c(
person("Hong", "Ooi", , "hongooi@microsoft.com", role = c("aut", "cre")),
person("Microsoft Product Recommendations team", role = "ctb", comment="source for MS sample datasets"),
person("Microsoft", role="cph")
)
'Smart Adaptive Recommendations' (SAR) is the name of a fast, scalable, adaptive algorithm for personalized recommendations based on user transactions and item descriptions. It produces easily explainable/interpretable recommendations and handles "cold item" and "semi-cold user" scenarios. This package provides two implementations of 'SAR': a standalone implementation, and an interface to a web service in Microsoft's 'Azure' cloud: <https://github.com/Microsoft/Product-Recommendations/blob/master/doc/sar.md>. The former allows fast and easy experimentation, and the latter provides robust scalability and extra features for production use.
AzureRMR, AzureStor, dplyr (>= 0.7), httr, jsonlite, Matrix,
R6, parallel, Rcpp (>= 0.12), RcppParallel
Hong Ooi [aut, cre],
Microsoft Product Recommendations team [ctb] (source for MS sample
datasets),
Microsoft [cph]

c(
person("Hong", "Ooi", , "hongooi73@gmail.com", role = c("aut", "cre")),
person("Microsoft Product Recommendations team", role = "ctb", comment="source for MS sample datasets"),
person("Microsoft", role="cph")
)

Network-based Interpretation of Changes in Compositional Data
person( "Emmanuel", "Curis",
email = "emmanuel.curis@parisdescartes.fr",
role  = c( "aut", "cre" ) )
Provides a set of functions to interpret changes in
compositional data based on a network representation of all pairwise ratio
comparisons: computation of all pairwise ratio, construction of a
p-value matrix of all pairwise tests of these ratios between
conditions, conversion of this matrix to a network.

Network-Based Interpretation of Changes in Compositional Data
person( "Emmanuel", "Curis",
email = "emmanuel.curis@parisdescartes.fr",
role  = c( "aut", "cre" ),
comment = c( ORCID = "0000-0001-8382-1493" ) )
Emmanuel Curis [aut, cre] (<https://orcid.org/0000-0001-8382-1493>)