evalModel-class

show,evalModel-method

Class that contains the data and a distribution of the uniform distribution of ratings onto k-folds.

Processes standard recommendation datasets (e.g., a user-item rating matrix) as input and generates rating predictions and lists of recommended items. Standard algorithm implementations which are included in this package are the following: Global/Item/User-Average baselines, Weighted Slope One, Item-Based KNN, User-Based KNN, FunkSVD, BPR and weighted ALS. They can be assessed according to the standard offline evaluation methodology (Shani, et al. (2011) <doi:10.1007/978-0-387-85820-3_8>) for recommender systems using measures such as MAE, RMSE, Precision, Recall, F1, AUC, NDCG, RankScore and coverage measures. The package (Coba, et al.(2017) <doi: 10.1007/978-3-319-60042-0_36>) is intended for rapid prototyping of recommendation algorithms and education purposes.

Ludovik <c3><87>oba

rrecsys

Environment for Evaluating Recommender Systems

Markus Zanker

Panagiotis Symeonidis

evalModel-class function

<dl class="dl-horizontal">
 <dt><code>data</code>:</dt><dd>the dataset, class <code>"matrix"</code>.</dd>
 <dt><code>folds</code>:</dt><dd>number of k - folds, class <code>"numeric"</code>.</dd>
 <dt><code>fold_indices</code>:</dt><dd>a list with k slots, each slot represents a fold and contains the index of items assigned to that fold, class <code>"list"</code>.</dd>
 <dt><code>fold_indices_x_user</code>:</dt><dd>a list that specifies specifically for each user the distribution of the items in the folds, class <code>"list"</code>.</dd>
 </dl>

Slots

<dl class="dl-horizontal">
 <dt><code>show</code></dt><dd>signature(object = "evalModel")</dd>
 </dl>

Methods

Evaluation model. — evalModel-class

<dl class='dl-horizontal'>
 <dt><code>data</code>:</dt><dd>the dataset, class <code>"matrix"</code>.</dd>
 <dt><code>folds</code>:</dt><dd>number of k - folds, class <code>"numeric"</code>.</dd>
 <dt><code>fold_indices</code>:</dt><dd>a list with k slots, each slot represents a fold and contains the index of items assigned to that fold, class <code>"list"</code>.</dd>
 <dt><code>fold_indices_x_user</code>:</dt><dd>a list that specifies specifically for each user the distribution of the items in the folds, class <code>"list"</code>.</dd>
 </dl>

<dl class='dl-horizontal'>
 <dt><code>show</code></dt><dd>signature(object = "evalModel")</dd>
 </dl>

evalModel-class: Evaluation model.

Description

Arguments

Slots

Methods

Details