Table 13 Comparison between proposed and existing techniques
Ref no. | Technique | Dataset | Performance metrics |
|---|---|---|---|
Proposed | MRBE | Tripadvisor | MAE–0.0689 Precision–0.968 Recall–0.935 F1-score–0.95 |
[16] | HOSVD | Tripadvisor | MAE–0.723 |
[17] | ANFIS | Tripadvisor | Recall–0.84 F1-score–0.839 Precision–0.818 |
[18] | AEMC | Yahoo, Movies and Tripadvisor dataset | MAE–0.64 RMSE–0.72 |
[19] | DNN (Deep neural network) | BeerAdvocate website | MAE–0.4616 Recall–0.5284 Precision–0.8559 F1-score–0.6517 |
[22] | BERT | Tripadvisor | NDCG @15–0.569 NDCG @10–0.606 NDCG @5–0.694 |
[23] | kNN (k-nearest neighbor) | MovieLens and Film trust | MAE–0.18 Standard deviation (SD)–1.39 |
[1] | SOM | Tripadvisor | Precision–0.948 F1-score–0.934 MAE–0.753 |
[26] | Fitting trust algorithm | MovieLens dataset | MAE–0.7 |