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rDppDiversity (version 0.0.2)

Subset Searching Algorithm Using DPP Greedy MAP

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).

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Version

Install

install.packages('rDppDiversity')

Monthly Downloads

5

Version

0.0.2

License

MIT + file LICENSE

Maintainer

Sining Ng

Last Published

June 1st, 2021

Functions in rDppDiversity (0.0.2)

learnItemEmb

Machine learning algorithm to learn item representations maximizing log likelihood under DPP assumption.
bestSubset

Given item set, item representation vector, and item ratings, find a subset with better relevance-diversity trade-off.