Processes standard recommendation datasets (e.g., a user-item rating matrix) as input and generates rating predictions and lists of recommended items. Standard algorithm implementations which are included in this package are the following: Global/Item/User-Average baselines, Weighted Slope One, Item-Based KNN, User-Based KNN, FunkSVD, BPR and weighted ALS. They can be assessed according to the standard offline evaluation methodology (Shani, et al. (2011)
|Author||Ludovik Çoba [aut, cre, cph], Markus Zanker [ctb], Panagiotis Symeonidis [ctb]|
|Date of publication||2017-08-18 15:24:24 UTC|
|Maintainer||Ludovik Çoba <Ludovik.Coba@inf.unibz.it>|
|Package repository||View on CRAN|
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