4c9bbee05d51930a7b0a9109127d5191 *DESCRIPTION
fcccc633ce9d113b23eaa2713659a6f8 *NAMESPACE
76a8e342c3d2540fdefb5c57b47a96d0 *R/AAA.R
e388d7e721ccadce0f9a0387a34b3228 *R/AAA_registry.R
de4bc67df18013719adf458950838d97 *R/AAAparameter.R
beb3b7ee0e6516386a88e075aac20904 *R/AllClasses.R
5c0279bc52272e0e2a686048472f5644 *R/AllGenerics.R
57162be92ef94d7b51838e2635b3599a *R/Matrix.R
8139b88eb20c9996f2112bf2b81916f4 *R/RECOM_BIN_AR.R
f89bfa9bc94a50b8eeabbc575bf5fe5c *R/RECOM_IBCF.R
bbd2ab11e82e34cdf0f9acfce4ef996f *R/RECOM_PCA.R
24bd2a7ba3705c0b8ed6e2e1eaad9a55 *R/RECOM_POPULAR.R
9c80ca2437e33fd21171c3d7659746a5 *R/RECOM_RANDOM.R
8b6eac3a5b09f333408954dc99249a5a *R/RECOM_SVD.R
0524099af92ab21feddc693846c46341 *R/RECOM_UBCF.R
5d3576dd2c5038d6e5676f4fe33f143c *R/Recommender.R
a64502a7cc1e400d0f03cf1e79b84a03 *R/ZZZ.R
3ae85b114c3d141fb2ae283fb9dfeccd *R/binaryRatingMatrix.R
aa405b22a6475c140c7c7dc89a896eb6 *R/calcPredictionAccuracy.R
e02005d1a0c8cbf52be8281258612471 *R/dissimilarity.R
de10a854d38e39dcc583c3bed71dc92a *R/evaluate.R
492a833517c6e7e9e8cdc9bff6793079 *R/evaluationResultList.R
14122e3d7277ed915920ff4668b7a1e2 *R/evaluationResults.R
a072179ded2da08ec182e11d1210d604 *R/evaluationScheme.R
111b3e5bdde048f7e94fbbe7eb3181ea *R/normalize.R
57a649b97946c911136a65f4a377d4d9 *R/plot.R
4d27f115162d721cdddf00530e36eeac *R/predict.R
3179c148fd48b85810d9aa1427285f57 *R/ratingMatrix.R
23914ec45d7cdbc3c02f8fbb24226820 *R/realRatingMatrix.R
66f2c59479c0e493299ac2dd20ee2b18 *R/topNList.R
e7476781cf80d01b54a6eba5fa565fea *build/vignette.rds
c2cd38cfba94d09ba66c3d2f429ebb24 *data/Jester5k.rda
ab0a3581a8165f5abe625081ea292ad1 *data/MSWeb.rda
9fc345525aa4492a8b1dac869e49a309 *data/MovieLense.rda
e9a4af93fd0c125102c50359eada4bf2 *data/datalist
4aa52ea2a20d6a2ce52589ce8bd5cbda *inst/NEWS
6bd5d8f9e89833503833f55585047991 *inst/doc/recommenderlab.R
d645597c63823fdf9f8be9ad92ada6c9 *inst/doc/recommenderlab.Rnw
fb79a4dc534f2fd85a9b73f941e73e9f *inst/doc/recommenderlab.pdf
9e9af23af82240bf58d649980819aa9c *man/Jester5k.Rd
9f4f16da6762bd2306590b19fc7ab059 *man/MSWeb.Rd
31cb28a16ce720fb35a610559aa314b6 *man/MovieLense.Rd
77f00dcf645df7311a76b3177df26daf *man/Recommender-class.Rd
7ddd3ec416868fd33a7aa5d39a78e2e2 *man/Recommender.Rd
2838cfd77dd61901c9ab8bc4ca863ab7 *man/binaryRatingMatrix-class.Rd
52e9f6de8983538953b89968d57ee2aa *man/calcPredictionAccuracy.Rd
a16a7e17588c9a43b8518be8c127eeb5 *man/dissimilarity.Rd
9bf0760eb75d4ec52791bc638bfa9323 *man/dropNA.Rd
1a4ea28467a3613beab527e52ccd0acf *man/evaluate.Rd
01410c481f40f103008a4cc0de9a3d72 *man/evaluationResultList-class.Rd
3d531b7d243abd8bd0c6a1db678f511b *man/evaluationResults-class.Rd
519a8d23c4326568c9666012e3b7b294 *man/evaluationScheme-class.Rd
4f3d4f311aa1cdcda6d1efea069ffe6f *man/evaluationScheme.Rd
b26d66459f90c785e0e24db1a020a458 *man/getList.Rd
35242e0136dcb29f9f0ceb9c95eb4bda *man/normalize.Rd
122641200cd39c1f22ab9f571963fc43 *man/plot.Rd
b3a6bacaf4307fa41d3e6f107db9742e *man/predict.Rd
dc67fca4e38492b574820b9b1fc1a27f *man/ratingMatrix-class.Rd
f4cdb3a407483a8dca8ea5a4d437c44d *man/realRatingMatrix-class.Rd
cc62a3896f7e73b3d7d088d533b3a1a9 *man/topNList-class.Rd
16b5c753ef5c80a85e71227064c4173d *tests/RECOM.R
839d0ed072cebef1ae0df4d7494bcd1a *tests/matrix.R
634d305f5c8f54f30ebe09cc00d3e6a4 *tests/normalize.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
daa077c1ea494da3c610fb1f2ed7e06f *vignettes/recommender.bib
d645597c63823fdf9f8be9ad92ada6c9 *vignettes/recommenderlab.Rnw
0f637429d82da7d78a20202f6a89e7c6 *vignettes/recommenderlab_classes.dia
9a264261ea5976358a2873af3b28d43d *vignettes/recommenderlab_classes.pdf
2906f13077c2a4b32cc9533b483bb0c6 *vignettes/stuff.bib
6f15442f1cdaf6d59798469ffa5f62d7 *vignettes/user-based.odg
f6e38c7e33eb3bd9bd929c6fad4d399f *vignettes/user-based.pdf
