7e27e6095428ee36648ae166aed7807c *DESCRIPTION
16446476ba0aecdb0a072c72893b7013 *NAMESPACE
9a7f342f77b4b833d0935fb0312357e3 *NEWS.md
76a8e342c3d2540fdefb5c57b47a96d0 *R/AAA.R
9db7d29532beb7b6607588b0b54008cb *R/AAA_registry.R
e81e048cc32585bcb93e0a06ebbcff1a *R/AAAparameter.R
cf3037f8f2fd55dcfd4a0b18fd6ce7f4 *R/AllClasses.R
01e7f49d91bf6bcc991aa4a4606b0aec *R/AllGenerics.R
914818ab9502ce86bffe6bbdc0615dae *R/HybridRecommender.R
8cbdfb831414393ecdfa308dfb510d7c *R/RECOM_ALS.R
dfb76eb9cc04f613a6a278639925413e *R/RECOM_AR.R
dc3b2074c6982fb772b73844358b39b6 *R/RECOM_IBCF.R
f37bcdbd49ef8033c46a8f7d760b2a83 *R/RECOM_LIBMF.R
dfaf629fb74d66aae3aee117576144f1 *R/RECOM_POPULAR.R
441df098bfbf2e7b13ae3e0c7ad20927 *R/RECOM_RANDOM.R
9a045082d0e7e0e0add8d7ab22eb8299 *R/RECOM_RERECOMMEND.R
345dc24af35137bea911e2aa0a211c74 *R/RECOM_SVD.R
27f31683126dbc52c6108a9a72f0b89e *R/RECOM_SVDF.R
2d09bcc935730a69ca92b56d230a57c3 *R/RECOM_UBCF.R
5d3576dd2c5038d6e5676f4fe33f143c *R/Recommender.R
a64502a7cc1e400d0f03cf1e79b84a03 *R/ZZZ.R
238a28200f3c21ea29216d5c6264926f *R/binaryRatingMatrix.R
1f3bea4acd6864aca4a15d5e51067d00 *R/calcPredictionAccuracy.R
742457bb51c5d9aaf6ab956545326459 *R/dissimilarity.R
377c9f6bdcc740ee26a636baed7d9e4b *R/error.R
bc722819e1dcab79a5caf1c817d8b79b *R/evaluate.R
490663dbd77b4fc655dbb6977cd06dec *R/evaluationResultList.R
e141b59365c9169ae2cd210f244f5705 *R/evaluationResults.R
9bf50a24905d33515732b6dc02acbbe1 *R/evaluationScheme.R
b01effaeabcdda35084e55aaf7c4fcd8 *R/funkSVD.R
c186e9545332a4bb481263c79690aa02 *R/normalize.R
7b26b2133e6264833864fc1f695bc45a *R/plot.R
6e35e6e6a2611ed45eb0f76c783e7998 *R/predict.R
7d3c126b00f3d2c57d506f9ee8824521 *R/ratingMatrix.R
b08befb3a569f39c32dda3b5ee642e2d *R/realRatingMatrix.R
49dd80baac867e5472339580672f16db *R/sparseNAMatrix.R
57c36f9b1959fe4a204c0f0adac2c930 *R/topNList.R
e2958ec90b054cfc08900392a9385bdc *README.md
27104a6f388a509e953395e49ee6d22b *build/vignette.rds
1a3fefc8bde3341b1ef6c6a6fdd23acb *data/Jester5k.rda
2d865ea4c74abc6cc5098cea9ef6c9c0 *data/MSWeb.rda
b4a053667919394a9c12f03e9e2d4078 *data/MovieLense.rda
e500524894535b537320929616fc3828 *data/datalist
f85da4c158ba1f43e5cb4012d9d48226 *inst/CITATION
8f174a3b6d9c4adf14ff305d7c22b669 *inst/README_files/TNR_vs_TPR-1.png
bba5d0990044055ec3555b154197b310 *inst/doc/recommenderlab.R
9e32fc84b7c7a24355eb59a1fe3db11c *inst/doc/recommenderlab.Rnw
d24767f47b1a50ea217b3259cf3a7448 *inst/doc/recommenderlab.pdf
7f76d3e4eb57fa9c81d75930897b4fae *man/HybridRecommender.Rd
e34602b874171d52cde04d096e64813c *man/Jester5k.Rd
9f4f16da6762bd2306590b19fc7ab059 *man/MSWeb.Rd
0736050746ae149676d1ddd5431266e4 *man/MovieLense.Rd
5bda4077c51f628bd185121b533bc05e *man/Recommender-class.Rd
8d488596b9a40dce207594ccba6ac449 *man/Recommender.Rd
ace70bfae46b1cdea3ae7c9ac21fa6d9 *man/binaryRatingMatrix-class.Rd
3b20ef8673d3cee75a10be9795496cf9 *man/calcPredictionAccuracy.Rd
e343ef9b908a78dce9288ad50c265a67 *man/dissimilarity.Rd
f10c43e966a978737de702c7c9034696 *man/error.Rd
6a454cfbe763f646ad4f492badc6a70d *man/evaluate.Rd
01410c481f40f103008a4cc0de9a3d72 *man/evaluationResultList-class.Rd
5e000f1a3218720f063d62901ea348f6 *man/evaluationResults-class.Rd
61d2f9d0e582689590481324bf4b78a3 *man/evaluationScheme-class.Rd
5af26d394fa9632d5cd39c65e52727be *man/evaluationScheme.Rd
bf62099f05c777e4cc896183d12be975 *man/figures/logo.svg
4d8cbbb2b172b9815e59ede3cd9bd276 *man/funkSVD.Rd
b26d66459f90c785e0e24db1a020a458 *man/getList.Rd
17eb7cd55dff8550b0d0a1a97182333c *man/internal.Rd
35242e0136dcb29f9f0ceb9c95eb4bda *man/normalize.Rd
122641200cd39c1f22ab9f571963fc43 *man/plot.Rd
b52df136e408aa00e3e716e8109e5b79 *man/predict.Rd
3e9e79227415fd4d256bc4b07eae71a4 *man/ratingMatrix-class.Rd
cfefcf778863b35cea6eed74ce872055 *man/realRatingMatrix-class.Rd
f5c4c1b92dad8dbe21e7e345ccb394cb *man/sparseNAMatrix.Rd
3ffafd896baeb7ad25c01c6fe7578630 *man/topNList-class.Rd
9b0b3ba5eb22fa124f240a02d9d06ae0 *tests/testthat.R
64d502a224214112a30d48668f0179a2 *tests/testthat/test-RECOM_UBCF.R
fb7fe51570688ef28610501a9bd5256f *tests/testthat/test-dissimilarity.R
273c591187989bed3ac7c517fd697cb0 *tests/testthat/test-dropNA.R
c17d468a45fe8c3cdfb0f97a647919bb *tests/testthat/test-eval.R
4724a961a5cc52a1abfd0da71be86756 *tests/testthat/test-matrix.R
09e99da9cd839e4d1de55cf9c83725f8 *tests/testthat/test-normalize.R
052f945e72372f2117f38d9dea1955e9 *tests/testthat/test-recom.R
3913bb1c47650bbf673581b3352cfac5 *vignettes/association_rules.bib
f7406338c699abe6d0ee684503947fcc *vignettes/data.bib
c62130394126f1198211182e18f57c4c *vignettes/item-based2.odg
68577a0760fa6efedfca253273093d2b *vignettes/item-based2.pdf
4b1cbcd91f5838348ee5ebef91273359 *vignettes/recom_talk.bib
cc6aa393e2b30894f96e5b591395aaa2 *vignettes/recommender.bib
9e32fc84b7c7a24355eb59a1fe3db11c *vignettes/recommenderlab.Rnw
f626c8694f1e3c3b7fa4753e0b81c1b8 *vignettes/recommenderlab_classes.dia
d19363e4ffdaccdf96cebfa2e061f264 *vignettes/recommenderlab_classes.pdf
7d6b40060e1fc3fd7da2eadd2c8b02d3 *vignettes/recommenderlab_usage.bib
e16971293b2418339e49a55668bcc1e7 *vignettes/stuff.bib
951d8985b86f31f4c0f38593514d524b *vignettes/user-based.odg
e07d899f957287aca583a242caf41d57 *vignettes/user-based.pdf
