{ "_id": "6a27cff224555f66ed544d10", "Package": "cmfrec", "Type": "Package", "Title": "Collective Matrix Factorization for Recommender Systems", "Version": "3.5.1-3", "Authors@R": "c(\nperson(given=\"David\", family=\"Cortes\", role=c(\"aut\", \"cre\", \"cph\"),\nemail=\"david.cortes.rivera@gmail.com\"),\nperson(given=\"Jorge\", family=\"Nocedal\", role=\"cph\",\ncomment=\"Copyright holder of included LBFGS library\"),\nperson(given=\"Naoaki\", family=\"Okazaki\", role=\"cph\",\ncomment=\"Copyright holder of included LBFGS library\"),\nperson(given=\"David\", family=\"Blackman\", role=\"cph\",\ncomment=\"Copyright holder of original Xoshiro code\"),\nperson(given=\"Sebastiano\", family=\"Vigna\", role=\"cph\",\ncomment=\"Copyright holder of original Xoshiro code\"),\nperson(given=\"NumPy\", family=\"Developers\", role=\"cph\",\ncomment=\"Copyright holder of formatted ziggurat tables\")\n)", "Maintainer": "David Cortes ", "URL": "https://github.com/david-cortes/cmfrec", "BugReports": "https://github.com/david-cortes/cmfrec/issues", "Description": "Collective matrix factorization (a.k.a. multi-view or\nmulti-way factorization, Singh, Gordon, (2008)\n) tries to approximate a\n(potentially very sparse or having many missing values) matrix\n'X' as the product of two low-dimensional matrices, optionally\naided with secondary information matrices about rows and/or\ncolumns of 'X', which are also factorized using the same latent\ncomponents. The intended usage is for recommender systems,\ndimensionality reduction, and missing value imputation.\nImplements extensions of the original model (Cortes, (2018)\n) and can produce different factorizations\nsuch as the weighted 'implicit-feedback' model (Hu, Koren,\nVolinsky, (2008) ), the\n'weighted-lambda-regularization' model, (Zhou, Wilkinson,\nSchreiber, Pan, (2008) ), or\nthe enhanced model with 'implicit features' (Rendle, Zhang,\nKoren, (2019) ), with or without side\ninformation. Can use gradient-based procedures or\nalternating-least squares procedures (Koren, Bell, Volinsky,\n(2009) ), with either a Cholesky\nsolver, a faster conjugate gradient solver (Takacs, Pilaszy,\nTikk, (2011) ), or a non-negative\ncoordinate descent solver (Franc, Hlavac, Navara, (2005)\n), providing efficient methods for\nsparse and dense data, and mixtures thereof. Supports L1 and L2\nregularization in the main models, offers alternative\nmost-popular and content-based models, and implements\nfunctionality for cold-start recommendations and imputation of\n2D data.", "License": "MIT + file LICENSE", "VignetteBuilder": "knitr", "RoxygenNote": "7.2.3", "NeedsCompilation": "yes", "Packaged": { "Date": "2026-06-09 08:30:06 UTC", "User": "root" }, "Author": "David Cortes [aut, cre, cph], Jorge Nocedal [cph] (Copyright\nholder of included LBFGS library), Naoaki Okazaki [cph]\n(Copyright holder of included LBFGS library), David Blackman\n[cph] (Copyright holder of original Xoshiro code), Sebastiano\nVigna [cph] (Copyright holder of original Xoshiro code), NumPy\nDevelopers [cph] (Copyright holder of formatted ziggurat\ntables)", "Repository": "https://cran.r-universe.dev", "Date/Publication": "2023-12-10 02:44:07 UTC", "RemoteUrl": "https://github.com/cran/cmfrec", "RemoteRef": "HEAD", "RemoteSha": "807a733f7ad0e1671608af89c3b6a1ee8b87b5e1", "MD5sum": "224c1593fc1a9995cc729b2a12094708", "_user": "cran", "_type": "src", "_file": "cmfrec_3.5.1-3.tar.gz", "_fileid": "19b2e05405e3fdbfde4d970137ef4e07984cb1cfcb4ea8d3ba09817862170f64", "_filesize": 626217, "_sha256": "19b2e05405e3fdbfde4d970137ef4e07984cb1cfcb4ea8d3ba09817862170f64", "_created": "2026-06-09T08:30:06.000Z", "_published": "2026-06-09T08:33:54.734Z", "_distro": "noble", "_jobs": [ { "job": 80280534194, "time": 148, "config": "linux-devel-arm64", "r": "4.7.0", "check": "OK", "artifact": "7502499108" }, { "job": 80280534181, "time": 182, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "7502512708" }, { "job": 80280534245, "time": 127, "config": "linux-release-arm64", "r": "4.6.0", "check": "OK", "artifact": "7502492002" }, { "job": 80280534288, "time": 130, "config": "linux-release-x86_64", "r": "4.6.0", "check": "OK", "artifact": "7502492099" }, { "job": 80279714528, "time": 280, "config": "source", "r": "4.6.0", "check": "OK", "artifact": "7502441522" }, { "job": 80280534168, "time": 123, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "7502489029" } ], "_buildurl": "https://github.com/r-universe/cran/actions/runs/27193621046", "_status": "success", "_host": "GitHub-Actions", "_upstream": "https://github.com/cran/cmfrec", "_commit": { "id": "807a733f7ad0e1671608af89c3b6a1ee8b87b5e1", "author": "David Cortes ", "committer": "cran-robot ", "message": "version 3.5.1-3\n", "time": 1702176247 }, "_maintainer": { "name": "David Cortes", "email": "david.cortes.rivera@gmail.com", "login": "david-cortes", "description": "", "uuid": 11860098 }, "_registered": true, "_dependencies": [ { "package": "Matrix", "role": "Suggests" }, { "package": "MatrixExtra", "role": "Suggests" }, { "package": "RhpcBLASctl", "role": "Suggests" }, { "package": "recosystem", "version": ">= 0.5", "role": "Suggests" }, { "package": "recommenderlab", "version": ">= 0.2-7", "role": "Suggests" }, { "package": "MASS", "role": "Suggests" }, { "package": "knitr", "role": "Suggests" }, { "package": "rmarkdown", "role": "Suggests" }, { "package": "kableExtra", "role": "Suggests" } ], "_owner": "cran", "_selfowned": false, "_usedby": 0, "_updates": [], "_tags": [], "_stars": 0, "_contributors": [ { "user": "david-cortes", "count": 22, "uuid": 11860098 } ], "_userbio": { "uuid": 6899542, "type": "organization", "name": "cran", "description": "Unofficial read-only mirror of all CRAN R packages" }, "_downloads": { "count": 234, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/cmfrec" }, "_devurl": "https://github.com/david-cortes/cmfrec", "_searchresults": 20, "_topics": [ "openblas", "openmp" ], "_rbuild": "4.6.0", "_assets": [ "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/cmfrec.html", "extra/contents.json", "manual.pdf" ], "_homeurl": "https://github.com/david-cortes/cmfrec", "_realowner": "david-cortes", "_cranurl": false, "_releases": [ { "version": "2.3.0", "date": "2020-11-23" }, { "version": "2.3.2", "date": "2020-11-23" }, { "version": "2.4.1", "date": "2021-01-06" }, { "version": "2.4.2", "date": "2021-01-10" }, { "version": "2.4.5", "date": "2021-03-01" }, { "version": "3.1.0", "date": "2021-05-20" }, { "version": "3.1.2", "date": "2021-06-28" }, { "version": "3.2.1", "date": "2021-07-29" }, { "version": "3.2.2", "date": "2021-07-30" }, { "version": "3.2.2-1", "date": "2021-09-26" }, { "version": "3.2.2-2", "date": "2021-11-07" }, { "version": "3.3.0", "date": "2022-01-03" }, { "version": "3.3.1", "date": "2022-01-05" }, { "version": "3.4.1", "date": "2022-02-10" }, { "version": "3.4.2", "date": "2022-02-10" }, { "version": "3.4.3", "date": "2022-07-09" }, { "version": "3.4.3-2", "date": "2022-10-25" }, { "version": "3.5.0", "date": "2022-11-26" }, { "version": "3.5.1", "date": "2023-03-08" }, { "version": "3.5.1-1", "date": "2023-04-11" }, { "version": "3.5.1-2", "date": "2023-11-28" }, { "version": "3.5.1-3", "date": "2023-12-09" } ], "_exports": [ "CMF", "CMF_implicit", "CMF.from.model.matrices", "ContentBased", "drop.nonessential.matrices", "factors", "factors_single", "imputeX", "item_factors", "MostPopular", "OMF_explicit", "OMF_implicit", "precompute.for.predictions", "predict_new", "predict_new_items", "swap.users.and.items", "topN", "topN_new" ], "_help": [ { "page": "CMF.from.model.matrices", "title": "Create a CMF model object from fitted matrices", "topics": [ "CMF.from.model.matrices" ] }, { "page": "cmfrec", "title": "cmfrec package", "topics": [ "cmfrec-package", "cmfrec" ] }, { "page": "drop.nonessential.matrices", "title": "Drop matrices that are not used for prediction", "topics": [ "drop.nonessential.matrices" ] }, { "page": "factors", "title": "Calculate latent factors on new data", "topics": [ "factors", "factors.CMF", "factors.CMF_implicit", "factors.ContentBased", "factors.OMF_explicit", "factors.OMF_implicit" ] }, { "page": "factors_single", "title": "Calculate latent factors for a new user", "topics": [ "factors_single", "factors_single.CMF", "factors_single.CMF_implicit", "factors_single.ContentBased", "factors_single.OMF_explicit", "factors_single.OMF_implicit" ] }, { "page": "fit", "title": "Matrix Factorization Models", "topics": [ "CMF", "CMF_implicit", "ContentBased", "fit_models", "MostPopular", "OMF_explicit", "OMF_implicit" ] }, { "page": "imputeX", "title": "Impute missing entries in `X` data", "topics": [ "imputeX" ] }, { "page": "item_factors", "title": "Determine latent factors for a new item", "topics": [ "item_factors" ] }, { "page": "precompute.for.predictions", "title": "Precompute matrices to use for predictions", "topics": [ "precompute.for.predictions" ] }, { "page": "predict_new", "title": "Predict entries in new `X` data", "topics": [ "predict_new", "predict_new.CMF", "predict_new.CMF_implicit", "predict_new.ContentBased", "predict_new.OMF_explicit", "predict_new.OMF_implicit" ] }, { "page": "predict_new_items", "title": "Predict new columns of `X` given item attributes", "topics": [ "predict_new_items" ] }, { "page": "predict.cmfrec", "title": "Predict entries in the factorized `X` matrix", "topics": [ "predict.cmfrec" ] }, { "page": "print.cmfrec", "title": "Get information about factorization model", "topics": [ "print.cmfrec" ] }, { "page": "summary.cmfrec", "title": "Get information about factorization model", "topics": [ "summary.cmfrec" ] }, { "page": "swap.users.and.items", "title": "Swap users and items in the model", "topics": [ "swap.users.and.items" ] }, { "page": "topN", "title": "Calulate top-N predictions for a new or existing user", "topics": [ "topN", "topN_new", "topN_new.CMF", "topN_new.CMF_implicit", "topN_new.ContentBased", "topN_new.OMF_explicit", "topN_new.OMF_implicit" ] } ], "_rundeps": [], "_sysdeps": [ { "shlib": "liblapack", "package": "libopenblas0-pthread", "source": "openblas", "version": "0.3.26+ds-1ubuntu0.1", "name": "openblas", "homepage": "https://www.openblas.net/", "description": "Optimized BLAS (linear algebra) library (shared lib, pthread)" }, { "shlib": "libblas", "package": "libopenblas0-pthread", "source": "openblas", "version": "0.3.26+ds-1ubuntu0.1", "name": "openblas", "homepage": "https://www.openblas.net/", "description": "Optimized BLAS (linear algebra) library (shared lib, pthread)" }, { "shlib": "libgomp", "package": "libgomp1", "source": "gcc", "version": "14.2.0-4ubuntu2~24.04.1", "name": "openmp", "homepage": "http://gcc.gnu.org/", "description": "GCC OpenMP (GOMP) support library" } ], "_vignettes": [ { "source": "cmfrec_vignette.Rmd", "filename": "cmfrec_vignette.html", "title": "Matrix Factorization with Side Info", "author": "David Cortes", "engine": "knitr::rmarkdown", "headings": [ "Matrix Factorization", "Loading the data", "Creating a train-test split", "Classical model", "How good is it?", "Improving the classical model", "Adding side information", "Generating Top-N recommendations", "Recommendations for existing users", "Recommendations for new users", "Cold-start recommendations" ], "created": "2021-05-20 19:30:03", "modified": "2022-11-26 14:10:02", "commits": 4 } ], "_score": 2.3010299956639813, "_indexed": false, "_nocasepkg": "cmfrec", "_universes": [ "cran" ], "_indexurl": "https://david-cortes.r-universe.dev/cmfrec", "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "3.5.1-3", "date": "2026-06-09T08:32:44.000Z", "distro": "noble", "arch": "aarch64", "commit": "807a733f7ad0e1671608af89c3b6a1ee8b87b5e1", "fileid": "a453e18fe7c0a87c11b36c12b7ff5bc021ff3fdef166737ae338b62be3f2ffc6", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/cran/actions/runs/27193621046" }, { "r": "4.7.0", "os": "linux", "version": "3.5.1-3", "date": "2026-06-09T08:33:12.000Z", "distro": "noble", "arch": "x86_64", "commit": "807a733f7ad0e1671608af89c3b6a1ee8b87b5e1", "fileid": "5166b1fb648be7469485b860ac9775d0fae48f79a5b256a115b7274f7710b366", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/cran/actions/runs/27193621046" }, { "r": "4.6.0", "os": "linux", "version": "3.5.1-3", "date": "2026-06-09T08:32:24.000Z", "distro": "noble", "arch": "aarch64", "commit": "807a733f7ad0e1671608af89c3b6a1ee8b87b5e1", "fileid": "04ca19c6b830a34dffc78623f2dce713d85d106888aabfe3328a37433c49657b", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/cran/actions/runs/27193621046" }, { "r": "4.6.0", "os": "linux", "version": "3.5.1-3", "date": "2026-06-09T08:32:22.000Z", "distro": "noble", "arch": "x86_64", "commit": "807a733f7ad0e1671608af89c3b6a1ee8b87b5e1", "fileid": "02e49775ee4b56e683a7a911f81fa5561bf71dce9e70e423b0f8e5125fd281d8", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/cran/actions/runs/27193621046" }, { "r": "4.6.0", "os": "wasm", "version": "3.5.1-3", "date": "2026-06-09T08:32:36.000Z", "arch": "emscripten", "commit": "807a733f7ad0e1671608af89c3b6a1ee8b87b5e1", "fileid": "70f6b8b8288596f638513dca608e20befe1bfe13d60e28dd3d33184d4d275aac", "status": "success", "buildurl": "https://github.com/r-universe/cran/actions/runs/27193621046" } ] }