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)<https://lsrs2017.files.wordpress.com/2017/08/lsrs_2017_lamingchen.pdf> [2]Laming Chen, Guoxin Zhang, and Hanning Zhou(2018)<https://papers.nips.cc/paper/2018/file/dbbf603ff0e99629dda5d75b6f75f966-Paper.pdf> [3]Wilhelm, Mark & Ramanathan, Ajith & Bonomo, Alexander & Jain, Sagar & Chi, Ed & Gillenwater, Jennifer(2018)<doi:10.1145/3269206.3272018>.
Version: | 0.0.2 |
Imports: | Rcpp |
LinkingTo: | Rcpp |
Published: | 2021-06-01 |
Author: | Sining Ng [aut, cre], Laming Chen [aut], Guoxin Zhang [aut], Hanning Zhou [aut], Jennifer Gillenwater [aut], Ed H. Chi [aut], Sagar Jain [aut], Alexander Bonomo [aut], Ajith Ramanathan [aut], Mark Wilhelm [aut], Antonio Sánchez [cph] (https://gitlab.com/cantonios), Christoph Hertzberg [cph] (https://gitlab.com/chhtz), David Tellenbach [cph] (https://gitlab.com/tellenbach), Eigen Bugzilla [cph] (https://gitlab.com/eigenbz), Gael Guennebaud [cph] (https://gitlab.com/ggael), Rasmus Munk Larsen [cph] (https://gitlab.com/rmlarsen1), Guoqiang QI [cph] (https://gitlab.com/guoqiangqi1), Konstantinos Margaritis [cph] (https://gitlab.com/freevec) |
Maintainer: | Sining Ng <sining_ng at icloud.com> |
License: | MIT + file LICENSE |
NeedsCompilation: | yes |
CRAN checks: | rDppDiversity results |
Reference manual: | rDppDiversity.pdf |
Package source: | rDppDiversity_0.0.2.tar.gz |
Windows binaries: | r-devel: rDppDiversity_0.0.2.zip, r-release: rDppDiversity_0.0.2.zip, r-oldrel: rDppDiversity_0.0.2.zip |
macOS binaries: | r-release (arm64): rDppDiversity_0.0.2.tgz, r-oldrel (arm64): rDppDiversity_0.0.2.tgz, r-release (x86_64): rDppDiversity_0.0.2.tgz, r-oldrel (x86_64): rDppDiversity_0.0.2.tgz |
Old sources: | rDppDiversity archive |
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