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Table 8 Evaluation of accuracy using various feature representations

From: Web crawling based context aware recommender system using optimized deep recurrent neural network

Size of training data Feature representation DNN DAE-SR DAE DRNN
Complete (100%) TF–IDF 92.5 93.2 94.6 95.2
TF–IDF + CBOW 95.2 96.8 97.5 98.3
TF–IDF + CBOW + Skip-gram 96 97.3 98.4 99.5
80% TF–IDF 91.3 92.7 93 94.3
TF–IDF + CBOW 92.8 94 95.8 97.6
TF–IDF + CBOW + Skip-gram 95.2 96.2 97.2 98.2
60% TF–IDF 90.2 91.3 92.1 93.2
TF–IDF + CBOW 92.3 93 94.2 95.8
TF–IDF + CBOW + Skip-gram 93 94.3 95.4 97.2
40% TF–IDF 90.2 90.8 91.4 92
TF–IDF + CBOW 91.3 92.2 93.6 94.8
TF–IDF + CBOW + Skip-gram 93.5 94.6 95.8 96