Longbing Cao

Computer Science

1. Recommender System 100%
2. Experimental Result 83%
3. Categorical Data 64%
4. Artificial Intelligence 58%
5. Matrix Factorization 57%
6. Deep Learning Method 55%
7. Sequential Pattern 49%
8. Sparsity 41%
9. Outlier Detection 41%
10. Multivariate Time Series 40%
11. Collaborative Filtering 37%
12. Data Mining 35%
13. Learning System 34%
14. Representation Learning 32%
15. Feature Selection 32%
16. Machine Learning 32%
17. Sequential Pattern Mining 30%
18. Feature Extraction 29%
19. Matrix Factorization Model 27%
20. Baseline Method 27%
21. Anomaly Detection 27%
22. High Dimensional Data 24%
23. Data Representation 23%
24. COVID-19 23%
25. Dimensional Cross 21%
26. Reinforcement Learning 21%
27. User Preference 20%
28. Deep Neural Network 19%
29. Theoretical Framework 19%
30. Social Network 18%
31. Attention (Machine Learning) 18%
32. Data Structure 18%
33. Case Study 18%
34. Interactive 18%
35. Decision Making 18%
36. Data Stream 17%
37. Long Short-Term Memory Network 17%
38. Federated machine learning 17%
39. Learning Algorithm 17%
40. Network Structure 16%
41. Document Retrieval 16%
42. Large Data Set 15%
43. Superior Performance 15%
44. Data Characteristic 14%
45. Attribute Value 14%
46. Regularization 14%
47. Spatial Information 13%
48. Classification Problem 13%
49. Image Segmentation 13%
50. Multi-Label Classification 13%