From: Web crawling based context aware recommender system using optimized deep recurrent neural network
References | Technique | Domain | Dataset | Metrics | Context-awareness |
---|---|---|---|---|---|
Sasikala and Mary Immaculate Sheela [20] | Deep learning modified neural network (DLMNN), Adaptive Neuro-Fuzzy Inferences System (IANFIS) | Ecommerce | Own extracted product online reviews | Precision, Recall, F1-score, accuracy | No |
Revathy [21] | Sentiment analysis | Ecommerce | Own extracted product reviews | Precision, Recall | No |
Song et al. [22] | Prospect theory and multi criteria decision making | Ecommerce | Own extracted online data | Ranking | No |
Osman et al. [23] | Sentiment analysis | Electronic | Amazon data | RMSE and MAE | Yes |
Hao et al. [24] | Stacked denoising auto encoders | Ecommerce | Movie lens, Netflix, and Amazon data | Precision, Recall | No |
Wu et al. [25] | Graph convolution machine (GCM) | Ecommerce | Yelp and Amazon data | Hit ratio (HR) and normalized discounted cumulative gain (NDCG) | Yes |
He et al. [26] | Neural collaborative filtering* | Ecommerce | Movie lens and Pinterst | Hit ratio (HR) and normalized discounted cumulative gain (NDCG) | No |
Cheng et al. [27] | Aspect-aware latent factor model (ALFM) | Ecommerce | Amazon and Yelp data | RMSE | No |