62fa768a9758565aa871f7b559318413 *DESCRIPTION
84354548d6fba8d7aa8127a4ff110936 *NAMESPACE
978b876f3a16075d9094a76b4897224d *NEWS.md
76a8e342c3d2540fdefb5c57b47a96d0 *R/AAA.R
9db7d29532beb7b6607588b0b54008cb *R/AAA_registry.R
a6646b64b5707c9bb03c1baa86beb58e *R/AAAoptional.R
5f402eedd112c1e3eaa357bdccc12cfc *R/AAAparameter.R
3dc7c1a8e10f29d3e14ef448535950c0 *R/AllClasses.R
6fedcc4b2c8e34a6b886d54a381a65d2 *R/AllGenerics.R
9bc3c454efd3f451ea3af1dbd868ad16 *R/HybridRecommender.R
46cf84e38570e26847f62e45d855b3fe *R/RECOM_ALS.R
b666da6a1deac1f8a0d23830d6920a8c *R/RECOM_AR.R
dcbf08402547cc03ac23ce6c6591c048 *R/RECOM_IBCF.R
0656df8c73b5d4d0f2592251c1ac37c2 *R/RECOM_LIBMF.R
335d5d85de34936a2ac51d60e7487fd8 *R/RECOM_POPULAR.R
f22cb2c51594dee47e91f3978dc2b60b *R/RECOM_RANDOM.R
28a70b644d29b42e7a105762b06d99b7 *R/RECOM_RERECOMMEND.R
3f0dd3e6de9185d382e53bf8fe4051ab *R/RECOM_SVD.R
ff1fa2df5df4f0352d4c99f09cbcc11c *R/RECOM_SVDF.R
b2ea4c6b78457aee8ef46b7821f684e6 *R/RECOM_UBCF.R
47d6e60c0f88bdc6cdb9282bb0200982 *R/Recommender.R
a64502a7cc1e400d0f03cf1e79b84a03 *R/ZZZ.R
433e1b0480a053c735e53d37a0104f2a *R/binaryRatingMatrix.R
0604f39f8b6708e385567d328299ce42 *R/calcPredictionAccuracy.R
b7829a2bee196eba1b5d574c232d1cab *R/data.R
df0c1658083b6e4bc0f60d29c36b5367 *R/dissimilarity.R
95b0d5b73acaa9c4a59ddc0b5774bedc *R/error.R
4c8e61fc53ce74de5b1615d7a7412168 *R/evaluate.R
490663dbd77b4fc655dbb6977cd06dec *R/evaluationResultList.R
e141b59365c9169ae2cd210f244f5705 *R/evaluationResults.R
873eb283ca2e5e051b4c15e35fdc2b8a *R/evaluationScheme.R
6fdc1556831143bcd677ec19cfd05eff *R/funkSVD.R
4927becd5d5b0ec0df3f3360b3d04a8c *R/normalize.R
62e3067a012f9bee20eba151c5708882 *R/plot.R
ef6c871bd8df14935b186de84f459e6e *R/predict.R
ab771f3ab9fd28d66580d6224a3efd97 *R/ratingMatrix.R
e5e9ccd9f77c87f86f140348507ca75f *R/realRatingMatrix.R
f671ed2af53d8df23bbaf70d550988b9 *R/sparseNAMatrix.R
75ce27d7a1791cc8967cf195b3b21451 *R/topNList.R
26f6cd99982afc29f7406e7e17769ace *README.md
5255803fda405e07250a418086fbb55d *build/vignette.rds
556d80e624e6ff013a70eff2d8b6e9fe *data/Jester5k.rda
c54c10ce3b5a85066daa6cd96e99e468 *data/MSWeb.rda
3fd0bbd39f77f41e52f01daf2895eae6 *data/MovieLense.rda
e500524894535b537320929616fc3828 *data/datalist
9b1df5f80c8abe54823bb0565be915a9 *inst/CITATION
54bcfc98719db95a1ca25567cc870dbf *inst/doc/recommenderlab.R
83435aa704b03a8f095a4e2a202054da *inst/doc/recommenderlab.Rmd
e98a6bd31ecdecd9d1c0953491702f94 *inst/doc/recommenderlab.html
f596f6c993bce8069a6815e5fa7b2b2e *inst/doc/recommenderlab_vignette.R
dfa7b2884123f2e68850994fcff4cb1b *inst/doc/recommenderlab_vignette.Rnw
d228f0c0465fcfbd598d6c27fac24261 *inst/doc/recommenderlab_vignette.pdf
af9ceeed2a1f5661be182923b4a4579a *man/HybridRecommender.Rd
9417ecd8470a0ce00620d981e825478a *man/Jester5k.Rd
fddf41743a42e1d9eda07e3acb4a6ff8 *man/MSWeb.Rd
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b044aa592b71b73051c6ae890cf34261 *man/Recommender-class.Rd
6d6bddc4e67c7eff069d247f2893ee55 *man/Recommender.Rd
0b7f2df28a79e72e0ed4609e34c785cf *man/binaryRatingMatrix-class.Rd
8d01565f706d776492dfe2abc5ee8189 *man/calcPredictionAccuracy.Rd
b749bc033770dff515d1cefe44665dbb *man/dissimilarity.Rd
304be3ca5c534c177c4b41e7b10f1aeb *man/error.Rd
04030fade2a77987caa765f5030eafa2 *man/evaluate.Rd
8e211de75fec11b24b747d5aff8d41fc *man/evaluationResultList-class.Rd
3577091b2dbfac44b7511f3d4f922570 *man/evaluationResults-class.Rd
e0c3e87600a2b68f219e260e127b52bb *man/evaluationScheme-class.Rd
1195a347bd1a21939ee69ca5486735af *man/evaluationScheme.Rd
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18af89d28fdc4b54b5cdb83acb171c7e *man/funkSVD.Rd
3640d1c099976c65193198aa65a1f53b *man/getList.Rd
071fdee7f6d3ddd0c7822e6c4d48f2b2 *man/internal.Rd
1ae37c4969b441031c78027ec51c767b *man/normalize.Rd
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6a21447630296ff05149a1d9af1a55a5 *man/predict.Rd
8c2f5429cbb11920a89f122504547351 *man/ratingMatrix-class.Rd
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09ad53056fdc6f9c606a18a25991ebfd *man/sparseNAMatrix.Rd
748d1543ec46ec149e0e1c7b1fb00aaa *man/topNList-class.Rd
9b0b3ba5eb22fa124f240a02d9d06ae0 *tests/testthat.R
529b23d1a4ceef98ac44d257ff12193a *tests/testthat/test-RECOM_UBCF.R
f3867260334f66c624cf376011f6f2b5 *tests/testthat/test-dissimilarity.R
273c591187989bed3ac7c517fd697cb0 *tests/testthat/test-dropNA.R
4e37f700eb8d1fd876daf834a5268a97 *tests/testthat/test-eval.R
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2af126135bee4e8fbcfdbc1694dbfa77 *tests/testthat/test-matrix.R
09e99da9cd839e4d1de55cf9c83725f8 *tests/testthat/test-normalize.R
432b3fd720b5d0f0edbeecc1258f759d *tests/testthat/test-optional-recommenders.R
24493c529625c76d413f9fd0a50c869c *tests/testthat/test-recom.R
5e1380a162077fb9d12bbff2b0ed9c85 *vignettes/association_rules.bib
2fe1f6292991ae98d02eb4e3a7f2ea55 *vignettes/data.bib
c62130394126f1198211182e18f57c4c *vignettes/item-based2.odg
68577a0760fa6efedfca253273093d2b *vignettes/item-based2.pdf
92d07c8765ce784958322f87cf00885a *vignettes/recom_talk.bib
28fe823ae6b54f14641ea67f006ef65f *vignettes/recommender.bib
83435aa704b03a8f095a4e2a202054da *vignettes/recommenderlab.Rmd
f626c8694f1e3c3b7fa4753e0b81c1b8 *vignettes/recommenderlab_classes.dia
d19363e4ffdaccdf96cebfa2e061f264 *vignettes/recommenderlab_classes.pdf
7d6b40060e1fc3fd7da2eadd2c8b02d3 *vignettes/recommenderlab_usage.bib
dfa7b2884123f2e68850994fcff4cb1b *vignettes/recommenderlab_vignette.Rnw
e16971293b2418339e49a55668bcc1e7 *vignettes/stuff.bib
951d8985b86f31f4c0f38593514d524b *vignettes/user-based.odg
e07d899f957287aca583a242caf41d57 *vignettes/user-based.pdf
