{
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  "Version": "1.0.7",
  "Date": "2025-05-29",
  "Title": "Lab for Developing and Testing Recommender Algorithms",
  "Authors@R": "c(person(\"Michael\", \"Hahsler\", role = c(\"aut\", \"cre\", \"cph\"),\nemail = \"mhahsler@lyle.smu.edu\",\ncomment = c(ORCID = \"0000-0003-2716-1405\")),\nperson(\"Bregt\", \"Vereet\", role = c(\"ctb\")))",
  "Description": "Provides a research infrastructure to develop and evaluate\ncollaborative filtering recommender algorithms. This includes a\nsparse representation for user-item matrices, many popular\nalgorithms, top-N recommendations, and cross-validation.\nHahsler (2022) <doi:10.48550/arXiv.2205.12371>.",
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  "BugReports": "https://github.com/mhahsler/recommenderlab/issues",
  "URL": "https://github.com/mhahsler/recommenderlab",
  "License": "GPL-2",
  "Copyright": "(C) Michael Hahsler",
  "Repository": "https://mhahsler.r-universe.dev",
  "Date/Publication": "2025-05-29 22:33:46 UTC",
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  "Packaged": {
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  "Author": "Michael Hahsler [aut, cre, cph] (ORCID:\n<https://orcid.org/0000-0003-2716-1405>),\nBregt Vereet [ctb]",
  "Maintainer": "Michael Hahsler <mhahsler@lyle.smu.edu>",
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    "bestN",
    "binarize",
    "calcPredictionAccuracy",
    "coerce",
    "colCounts",
    "colSds",
    "denormalize",
    "dissimilarity",
    "dropNA",
    "dropNA2matrix",
    "dropNAis.na",
    "evaluate",
    "evaluationScheme",
    "frobenius",
    "funkSVD",
    "getConfusionMatrix",
    "getData",
    "getData.frame",
    "getList",
    "getModel",
    "getNormalize",
    "getParameters",
    "getRatingMatrix",
    "getRatings",
    "getResults",
    "getRuns",
    "getTopNLists",
    "hasRating",
    "HybridRecommender",
    "image",
    "MAE",
    "MSE",
    "normalize",
    "nratings",
    "plot",
    "predict",
    "Recommender",
    "recommenderRegistry",
    "removeKnownItems",
    "removeKnownRatings",
    "returnRatings",
    "RMSE",
    "rowCounts",
    "rowSds",
    "sample",
    "show",
    "similarity",
    "summary"
  ],
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    {
      "name": "Jester5k",
      "title": "Jester dataset (5k sample)",
      "object": "Jester5k",
      "file": "Jester5k.rda",
      "class": [
        "realRatingMatrix"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    },
    {
      "name": "JesterJokes",
      "title": "Jester dataset (5k sample)",
      "object": "Jester5k",
      "file": "Jester5k.rda",
      "class": [
        "character"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    },
    {
      "name": "MovieLense",
      "title": "MovieLense Dataset (100k)",
      "object": "MovieLense",
      "file": "MovieLense.rda",
      "class": [
        "realRatingMatrix"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    },
    {
      "name": "MovieLenseMeta",
      "title": "MovieLense Dataset (100k)",
      "object": "MovieLense",
      "file": "MovieLense.rda",
      "class": [
        "data.frame"
      ],
      "fields": [
        "title",
        "year",
        "url",
        "unknown",
        "Action",
        "Adventure",
        "Animation",
        "Children's",
        "Comedy",
        "Crime",
        "Documentary",
        "Drama",
        "Fantasy",
        "Film-Noir",
        "Horror",
        "Musical",
        "Mystery",
        "Romance",
        "Sci-Fi",
        "Thriller",
        "War",
        "Western"
      ],
      "rows": 1664,
      "table": true,
      "tojson": true
    },
    {
      "name": "MovieLenseUser",
      "title": "MovieLense Dataset (100k)",
      "object": "MovieLense",
      "file": "MovieLense.rda",
      "class": [
        "data.frame"
      ],
      "fields": [
        "id",
        "age",
        "sex",
        "occupation",
        "zipcode"
      ],
      "rows": 943,
      "table": true,
      "tojson": true
    },
    {
      "name": "MSWeb",
      "title": "Anonymous web data from www.microsoft.com",
      "object": "MSWeb",
      "file": "MSWeb.rda",
      "class": [
        "binaryRatingMatrix"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    }
  ],
  "_help": [
    {
      "page": "binaryRatingMatrix-class",
      "title": "Class \"binaryRatingMatrix\": A Binary Rating Matrix",
      "topics": [
        "binaryRatingMatrix",
        "binaryRatingMatrix-class",
        "coerce,binaryRatingMatrix,dgCMatrix-method",
        "coerce,binaryRatingMatrix,dgTMatrix-method",
        "coerce,binaryRatingMatrix,itemMatrix-method",
        "coerce,binaryRatingMatrix,list-method",
        "coerce,binaryRatingMatrix,matrix-method",
        "coerce,binaryRatingMatrix,ngCMatrix-method",
        "coerce,data.frame,binaryRatingMatrix-method",
        "coerce,itemMatrix,binaryRatingMatrix-method",
        "coerce,matrix,binaryRatingMatrix-method"
      ]
    },
    {
      "page": "calcPredictionAccuracy",
      "title": "Calculate the Prediction Error for a Recommendation",
      "topics": [
        "calcPredictionAccuracy",
        "calcPredictionAccuracy,realRatingMatrix,realRatingMatrix-method",
        "calcPredictionAccuracy,topNList,binaryRatingMatrix-method",
        "calcPredictionAccuracy,topNList,realRatingMatrix-method"
      ]
    },
    {
      "page": "dissimilarity",
      "title": "Dissimilarity and Similarity Calculation Between Rating Data",
      "topics": [
        "dissimilarity",
        "dissimilarity,binaryRatingMatrix-method",
        "dissimilarity,realRatingMatrix-method",
        "similarity",
        "similarity,ratingMatrix-method"
      ]
    },
    {
      "page": "error",
      "title": "Error Calculation",
      "topics": [
        "frobenius",
        "MAE",
        "MSE",
        "RMSE"
      ]
    },
    {
      "page": "evaluate",
      "title": "Evaluate a Recommender Models",
      "topics": [
        "evaluate",
        "evaluate,evaluationScheme,character-method",
        "evaluate,evaluationScheme,list-method"
      ]
    },
    {
      "page": "evaluationResultList-class",
      "title": "Class \"evaluationResultList\": Results of the Evaluation of a Multiple Recommender Methods",
      "topics": [
        "avg,evaluationResultList-method",
        "coerce,list,evaluationResultList-method",
        "evaluationResultList-class",
        "show,evaluationResultList-method",
        "[,evaluationResultList,ANY,missing,missing-method"
      ]
    },
    {
      "page": "evaluationResults-class",
      "title": "Class \"evaluationResults\": Results of the Evaluation of a Single Recommender Method",
      "topics": [
        "avg",
        "avg,evaluationResults-method",
        "confusionMatrix-class",
        "evaluationResults-class",
        "getConfusionMatrix",
        "getConfusionMatrix,evaluationResults-method",
        "getModel",
        "getModel,evaluationResults-method",
        "getResults",
        "getResults,evaluationResults-method",
        "getRuns",
        "getRuns,evaluationResults-method",
        "show,evaluationResults-method"
      ]
    },
    {
      "page": "evaluationScheme",
      "title": "Creator Function for evaluationScheme",
      "topics": [
        "evaluationScheme",
        "evaluationScheme,ratingMatrix-method"
      ]
    },
    {
      "page": "evaluationScheme-class",
      "title": "Class \"evaluationScheme\": Evaluation Scheme",
      "topics": [
        "evaluationScheme-class",
        "getData",
        "getData,evaluationScheme-method",
        "show,evaluationScheme-method"
      ]
    },
    {
      "page": "funkSVD",
      "title": "Funk SVD for Matrices with Missing Data",
      "topics": [
        "funkSVD",
        "predict.funkSVD"
      ]
    },
    {
      "page": "getList",
      "title": "List and Data.frame Representation for Recommender Matrix Objects",
      "topics": [
        "getData.frame",
        "getData.frame,ratingMatrix-method",
        "getList",
        "getList,binaryRatingMatrix-method",
        "getList,realRatingMatrix-method",
        "getList,topNList-method"
      ]
    },
    {
      "page": "HybridRecommender",
      "title": "Create a Hybrid Recommender",
      "topics": [
        "HybridRecommender"
      ]
    },
    {
      "page": "internal",
      "title": "Internal Utility Functions",
      "topics": [
        "getParameters",
        "returnRatings"
      ]
    },
    {
      "page": "Jester5k",
      "title": "Jester dataset (5k sample)",
      "topics": [
        "Jester5k",
        "JesterJokes"
      ]
    },
    {
      "page": "MovieLense",
      "title": "MovieLense Dataset (100k)",
      "topics": [
        "MovieLense",
        "MovieLenseMeta",
        "MovieLenseUser"
      ]
    },
    {
      "page": "MSWeb",
      "title": "Anonymous web data from www.microsoft.com",
      "topics": [
        "MSWeb"
      ]
    },
    {
      "page": "normalize",
      "title": "Normalize the ratings",
      "topics": [
        "denormalize",
        "denormalize,realRatingMatrix-method",
        "normalize",
        "normalize,realRatingMatrix-method"
      ]
    },
    {
      "page": "plot",
      "title": "Plot Evaluation Results",
      "topics": [
        "plot",
        "plot,evaluationResultList-method",
        "plot,evaluationResults-method"
      ]
    },
    {
      "page": "predict",
      "title": "Predict Recommendations",
      "topics": [
        "predict",
        "predict,Recommender-method"
      ]
    },
    {
      "page": "ratingMatrix-class",
      "title": "Class \"ratingMatrix\": Virtual Class for Rating Data",
      "topics": [
        "coerce,ratingMatrix,data.frame-method",
        "coerce,ratingMatrix,list-method",
        "colCounts",
        "colCounts,ratingMatrix-method",
        "colMeans,ratingMatrix-method",
        "dim,ratingMatrix-method",
        "dimnames,ratingMatrix-method",
        "dimnames<-,ratingMatrix,list-method",
        "getNormalize",
        "getNormalize,ratingMatrix-method",
        "getRatingMatrix",
        "getRatingMatrix,ratingMatrix-method",
        "getRatings",
        "getRatings,ratingMatrix-method",
        "hasRating",
        "hasRating,ratingMatrix-method",
        "image,ratingMatrix-method",
        "nratings",
        "nratings,ratingMatrix-method",
        "ratingMatrix",
        "ratingMatrix-class",
        "rowCounts",
        "rowCounts,ratingMatrix-method",
        "rowMeans,ratingMatrix-method",
        "sample,ratingMatrix-method",
        "show,ratingMatrix-method",
        "[,ratingMatrix,ANY,ANY,ANY-method"
      ]
    },
    {
      "page": "realRatingMatrix-class",
      "title": "Class \"realRatingMatrix\": Real-valued Rating Matrix",
      "topics": [
        "binarize",
        "binarize,realRatingMatrix-method",
        "coerce,data.frame,realRatingMatrix-method",
        "coerce,dgCMatrix,realRatingMatrix-method",
        "coerce,dgTMatrix,realRatingMatrix-method",
        "coerce,matrix,realRatingMatrix-method",
        "coerce,realRatingMatrix,data.frame-method",
        "coerce,realRatingMatrix,dgCMatrix-method",
        "coerce,realRatingMatrix,dgTMatrix-method",
        "coerce,realRatingMatrix,matrix-method",
        "coerce,realRatingMatrix,ngCMatrix-method",
        "colSds",
        "colSds,realRatingMatrix-method",
        "getTopNLists",
        "getTopNLists,realRatingMatrix-method",
        "realRatingMatrix",
        "realRatingMatrix-class",
        "removeKnownRatings",
        "removeKnownRatings,realRatingMatrix-method",
        "rowSds",
        "rowSds,realRatingMatrix-method",
        "[<-,realRatingMatrix,ANY,ANY,ANY-method"
      ]
    },
    {
      "page": "Recommender",
      "title": "Create a Recommender Model",
      "topics": [
        "getModel,Recommender-method",
        "Recommender",
        "Recommender,ratingMatrix-method",
        "recommenderRegistry"
      ]
    },
    {
      "page": "Recommender-class",
      "title": "Class \"Recommender\": A Recommender Model",
      "topics": [
        "Recommender-class",
        "show,Recommender-method"
      ]
    },
    {
      "page": "sparseNAMatrix",
      "title": "Sparse Matrix Representation With NAs Not Explicitly Stored",
      "topics": [
        "dropNA",
        "dropNA2matrix",
        "dropNAis.na"
      ]
    },
    {
      "page": "topNList-class",
      "title": "Class \"topNList\": Top-N List",
      "topics": [
        "bestN",
        "bestN,topNList-method",
        "c,topNList-method",
        "coerce,topNList,dgCMatrix-method",
        "coerce,topNList,dgTMatrix-method",
        "coerce,topNList,list-method",
        "coerce,topNList,matrix-method",
        "coerce,topNList,ngCMatrix-method",
        "coerce,topNList,realRatingMatrix-method",
        "colCounts,topNList-method",
        "length,topNList-method",
        "removeKnownItems",
        "removeKnownItems,topNList-method",
        "rowCounts,topNList-method",
        "show,topNList-method",
        "topNList",
        "topNList-class"
      ]
    }
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