mhahsler/recommenderlab
recommenderlab - Lab for Developing and Testing Recommender Algorithms - R package
R
Issues
- 1
Use more stable Rd cross reference
#67 opened by jaganmn - 0
- 0
- 1
rmse() function missing
#62 opened by riedlc - 4
Recommenderlab with Predict error
#58 opened by shuhcl - 0
Implicit ALS Bug
#60 opened by DanielRauser - 3
- 2
Implementation of eALS
#57 opened by DanielRauser - 2
- 1
- 3
- 3
- 7
- 4
No negative cosine similarities for IBCF with user mean-centered ratings
#48 opened by Daniel-Perruchoud - 5
Is "calcPredictionAccuracy" working correctly?
#47 opened by kasper2619 - 4
- 1
- 7
Confusion about Confusion Matrix
#46 opened by vgherard - 3
MovieLens metadata
#44 opened by david-cortes - 2
UBCF returns 1 as rating for predicted values with the weighted flag on binaryRatingMatrix
#41 opened by bhawwash - 4
Possible to evaluate a hybridRecommender?
#32 opened by yckoong - 1
- 1
could I get the rank or score from the predict()? and reformat the result into datafram
#39 opened by celinexuclover - 1
- 9
- 1
extract latent features from ALS
#37 opened by ChristelSwift - 2
- 1
funkSVD starting values for U and V
#21 opened by vkummer - 2
Is HybridRecommender.R missing some commands
#25 opened by jackyrx - 1
- 1
RECOM_RANDOM why not assign rownames?
#35 opened by aliko-str - 3
- 1
Some problems about "realRatingMatrix"
#30 opened by erthium - 1
- 5
- 4
Predict ratingmatrix
#28 opened by MounirHader - 1
Predicting known ratings when manually testing performance/evaluating model
#27 opened by MounirHader - 5
Parallelize
#26 opened by Dikosh - 1
Is this line a typo, for the symbol "/"
#24 opened by jackyrx - 0
- 1
- 1
- 3
still showing progress despite, progress = FALSE
#15 opened by pspachtholz - 1
HybridRecommender Output
#14 opened by homodigitus - 1
when using IBCF method for top-N list,I only get n outcome(n is less than N) for some users
#12 opened by LynnMachineLearning0822 - 1
for "UBCF"algorithm, in "REAL_UBCF"function, "sum_s_uk <- colSums(s_uk)"I think should change to sum_s_uk <- colSums(s_uk, na.rm=TRUE)
#13 opened by LynnMachineLearning0822 - 4
- 1
- 4
ALS for implicit data
#7 opened by NumbaCruncha - 2
not able to use pearson similarity
#8 opened by inkrement