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  "Date": "2026-10-01",
  "Title": "Lab for Developing and Testing Recommender Algorithms",
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  "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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  "License": "GPL-2",
  "Copyright": "(C) Michael Hahsler",
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  "Date/Publication": "2026-10-05 02:23:45 UTC",
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  "Author": "Michael Hahsler [aut, cre, cph] (ORCID:\n<https://orcid.org/0000-0003-2716-1405>),\nBregt Vereet [ctb]",
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    "getConfusionMatrix",
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    "getList",
    "getModel",
    "getNormalize",
    "getParameters",
    "getRatingMatrix",
    "getRatings",
    "getResults",
    "getRuns",
    "getTopNLists",
    "hasRating",
    "HybridRecommender",
    "image",
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    "MSE",
    "normalize",
    "nratings",
    "plot",
    "predict",
    "Recommender",
    "recommenderRegistry",
    "removeKnownItems",
    "removeKnownRatings",
    "returnRatings",
    "RMSE",
    "rowCounts",
    "rowSds",
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    "show",
    "similarity",
    "summary"
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      "file": "Jester5k.rda",
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        "Documentary",
        "Drama",
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        "Western"
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      "table": true,
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      "file": "MovieLense.rda",
      "class": [
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      ],
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        "sex",
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        "zipcode"
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      "table": true,
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      "table": false,
      "tojson": false
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      "title": "Class \"binaryRatingMatrix\": A Binary Rating Matrix",
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        "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"
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    {
      "page": "calcPredictionAccuracy",
      "title": "Calculate the Prediction Error for a Recommendation",
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      ],
      "topics": [
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        "calcPredictionAccuracy,realRatingMatrix,realRatingMatrix-method",
        "calcPredictionAccuracy,topNList,binaryRatingMatrix-method",
        "calcPredictionAccuracy,topNList,realRatingMatrix-method"
      ]
    },
    {
      "page": "dissimilarity",
      "title": "Dissimilarity and Similarity Calculation Between Rating Data",
      "concept": [
        "rating data"
      ],
      "topics": [
        "dissimilarity",
        "dissimilarity,binaryRatingMatrix-method",
        "dissimilarity,realRatingMatrix-method",
        "similarity",
        "similarity,ratingMatrix-method"
      ]
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    {
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      "title": "Error Calculation",
      "concept": [
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        "error",
        "frobenius",
        "MAE",
        "MSE",
        "RMSE"
      ]
    },
    {
      "page": "evaluate",
      "title": "Evaluate a Recommender Models",
      "concept": [
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        "evaluate,evaluationScheme,character-method",
        "evaluate,evaluationScheme,list-method"
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    {
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      "title": "Class \"evaluationResultList\": Results from Evaluating Multiple Recommender Methods",
      "concept": [
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      "topics": [
        "avg,evaluationResultList-method",
        "coerce,list,evaluationResultList-method",
        "evaluationResultList-class",
        "show,evaluationResultList-method",
        "[,evaluationResultList,ANY,missing,missing-method"
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