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rDppDiversity  

Subset Searching Algorithm Using DPP Greedy MAP
View on CRAN: Click here


Download and install rDppDiversity package within the R console
Install from CRAN:
install.packages("rDppDiversity")

Install from Github:
library("remotes")
install_github("cran/rDppDiversity")

Install by package version:
library("remotes")
install_version("rDppDiversity", "0.0.2")



Attach the package and use:
library("rDppDiversity")
Maintained by
Sining Ng
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-05-20
Latest Update: 2023-04-25
Description:
Given item set, item representation vector, and item ratings, find a subset with better relevance-diversity trade-off. Also provide machine learning algorithm to learn item representations maximizing log likelihood under DPP assumption. References: [1]Laming Chen, Guoxin Zhang, and Hanning Zhou(2017) [2]Laming Chen, Guoxin Zhang, and Hanning Zhou(2018) [3]Wilhelm, Mark & Ramanathan, Ajith & Bonomo, Alexander & Jain, Sagar & Chi, Ed & Gillenwater, Jennifer(2018).
How to cite:
Sining Ng (2021). rDppDiversity: Subset Searching Algorithm Using DPP Greedy MAP. R package version 0.0.2, https://cran.r-project.org/web/packages/rDppDiversity. Accessed 06 Nov. 2024.
Previous versions and publish date:
0.0.1 (2021-05-20 09:10), 0.0.2 (2021-06-01 12:50)
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Other R packages that rDppDiversity depends, imports, suggests or enhances
Functions, R codes and Examples using the rDppDiversity R package
Some associated functions: bestSubset . learnItemEmb . 
Some associated R codes: RcppExports.R .  Full rDppDiversity package functions and examples
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