|
| Research | Field | Method | Dataset |
|
| [7] | Link prediction | Encoder-LSTM-decoder (E-LSTM-D) system | CONTACT, ENRON, RADOSLAW, FB-FORUM, LKML |
| [8] | Link prediction | K-NN, MLP, bagging, SVM, and decision tree | Collected dataset |
| [9] | Recommendation system in social network | SRM-MF | Actual dataset, Book-Crossing |
| [10] | Link prediction applications | Selected feature method with SVM, K-NN, simple Bayesian, CART, random forest, and multilayer perceptron | Microsoft Academic Network, Amazon, and Flickr |
| [11] | Link prediction | ICLA-EC-TSLP | Hep-th, Hep-ph, Astro-ph, Email-Enron, CollegeMsg |
| [12] | Link prediction | Line graph neural networks | 14 various datasets |
| [13] | Friend recommendation system | Random Forest Classifier, XGBoost, Light GBM, and Cat Boost | Facebook dataset |
| [14] | Friend recommendation system | Random forest | Facebook recruiting |
| [15] | Research recommendation system | Collaborative filtering | Collected dataset |
| ZhengWei et al. [16] | Classification and recommendation of academic journals | XGBoost with doc2vec | Common SCI English journals |
| Chang et al. [17] | Reciprocal recommendation | GraphRR | Real-world large-scale online games from NetEase Games |
|
