R-based Recommendation Platform

An R-based Recommendation Platform is a recommendation platform that is an R-based system.

• Context:
  • It can range from being a Demo R-based Recommender to being a Production R-based Recommender.
• Example(s):
  • https://github.com/ludovikcoba/rrecsys
• Counter-Example(s):
  • a Python-based Recommendation Platform.
  • a Spark-based Recommendation Platform.
• See: Item Recommendations Task, Item Recommendations Method.

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References

2016

• https://github.com/ludovikcoba/rrecsys
  • QUOTE: A package for R that provides implementations of several popular recommendation systems. They can process standard recommendation datasets (user/item matrix) as input and generate rating predictions and recommendation lists. Standard algorithm implementations included in this package are: Global/Item/User-Average baselines, Item-Based KNN, FunkSVD, BPR and weighted ALS. They can be assessed according to the standard offline evaluation methodology for recommender systems using measures such as MAE, RMSE, Precision, Recall, AUC, NDCG, RankScore and coverage measures. The package is intended for rapid prototyping of recommendation algorithms and education purposes.

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