Environment for Evaluating Recommender Systems

algAverageClass | Baseline algorithms exploiting global/item and user averages. |

BPRclass | Bayesian Personalized Ranking based model. |

dataChart | Visualization of data characteristics. |

dataSet-class | Dataset class. |

defineData | Define dataset. |

ds-class | Dataset class. |

evalChart | Visualization of data characteristics. |

evalModel | Creating the evaluation model. |

evalModel-class | Evaluation model. |

evalPred | Evaluates the requested prediction algorithm. |

evalrec | Evaluates the requested recommendation algorithm. |

evalRecResults | Evaluation results. |

getAUC | Returns the Area under the ROC curve. |

histogram | Ratings histogram. |

IBclass | Item based model. |

ml100k | Movielens 100K Dataset |

mlLatest100k | Movielens Latest |

nDCG | Normalized Discounted Cumulative Gain |

PPLclass | Popularity based model. |

predict | Generate predictions. |

rankScore | Rank Score |

recommend | Generate recommendation. |

rrecsys | Create a recommender system. |

setStoppingCriteria | Set stopping criteria. |

slopeOneClass | Slope One model. |

sparseDataSet-class | Dataset class for tuples (user, item, rating). |

SVDclass | SVD model. |

UBclass | Item based model. |

wALSclass | Weighted Alternating Least Squares based model. |

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