NEWS.md

In audachang/recommenderlab.test: Lab for Developing and Testing Recommender Algorithms

Changes in version 0.2-2.1 (xx/xx/2017)

Bugfixes

• Fixed bug in ALS_implicit (reported by equalise).
• getData for binaryRatingMatrix data with type "known" and "unknown" preserve now user ids/rownames (reported by Kasia Kulma).

Changes in version 0.2-2 (04/05/2017)

Bugfixes

• predict for IBCF now returns top-N lists correctly.
• (cross) dissimilarity for binary data now returns the correct data type (reported by inkrement).

Changes in version 0.2-1 (09/15/2016)

New Features

• Added recommender method ALS and ALS_implicit based on latent factors and alternating least squares (contributed by Bregt Verreet).
• Changes in recommendation method AR: Default for maxlen is now 3 to find more specific rules. Parameters measure and decreasing for sorting the rule base are now called sort_measure and sort_decreasing. New parameter apriori_control can be used to pass a control list to apriori in arules.
• The registry now has a reference field.

Bugfixes

• Fixed bug in method IBCF with n being ignored in predict (reported by Giorgio Alfredo Spedicato).

Changes in version 0.2-0 (05/31/2016)

• Added recommender RERECOMMEND to recommend highly rated items again (e.g., movies to watch again).
• Added a hybrid recommender (HybridRecommender).
• realRatingMatrix supports now subset assignment with [.
• RECOM_POPULAR now shows the parameters in the registry.
• RECOM_RANDOM produced now random ratings from the estimated distribution of the available recommendations (from a normal distribution with the user's means and standard deviation).
• predict now checks if newdata (number of items) is compatible with the model.
• getTopNLists and bestN gained a randomized argument to increase prediction diversity.
• Added getRatings method for topNList.

Changes in version 0.1-9 (05/18/2016)

• FIX: rownames of newdata are now preserved in prediction output.
• We use testthat now.
• Normalization now can be done on rows and columns at the same time.
• SVD with column-mean imputation now folds in new users.
• Added Funk SVD (funkSVD and recommender SVDF).
• Added function error measures: MAE, MSE, RMSE, frobenius (norm).
• Jester5k contains now the jokes.
• MovieLense contains now movie meta information.
• topNLists now also contains ratings.
• Removed obsolete PCA-based recommender.

Changes in version 0.1-8 (12/17/2015)

• Fixed several problems in the vignette.
• predict for realRatingMatrix accepts now type = "ratingMatrix" to returns a completed rating matrix.
• Negative values for given in evaluationScheme implement all-but-given evaluation.
• Method "SVD" used now EM-based approximation from package bcv.

Changes in version 0.1-7 (7/23/2015)

• NAMESPACE now imports non standard R packages.

Changes in version 0.1-5 (8/18/2014)

• Fixed NAMESPACE problems.
• Evaluation of ratings is now better integrated into evaluate.
• binarize keeps now dimnames.

Changes prior to 0.1-4 (1/11/2013)

• Many.

Alpha version 0.1-0 (1/23/2010)

audachang/recommenderlab.test documentation built on May 20, 2019, 1:27 p.m.