Table 3 Average of the precision and recall values obtained through different scenarios of the experiments.

From: User preference modeling for movie recommendations based on deep learning

Method

Metrics

Scenario of the experiment

# of Users

# of Movies

# of Recommended items

Proposed method

Avg. Precision

0.8326

0.8235

0.8108

Avg. Recall

0.7893

0.7249

0.6904

Sun et al.32

Avg. Precision

0.8298

0.8125

0.8005

Avg. Recall

0.7755

0.7223

0.6635

Yadav et al.33

Avg. Precision

0.8290

0.8126

0.8007

Avg. Recall

0.8022

0.7223

0.7082

Ez-Zahout et al.34

Avg. Precision

0.8197

0.7970

0.7920

Avg. Recall

0.7570

0.7065

0.6697

Ambikesh et al.35

Avg. Precision

0.8251

0.8082

0.7938

Avg. Recall

0.7602

0.7115

0.6668

Zubi et al.36

Avg. Precision

0.8304

0.8198

0.7989

Avg. Recall

0.7583

0.7090

0.6700

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