Elisabeth Lex

Computer Science

1. Recommender Systems 100%
2. User 98%
3. Recommendation Accuracy 27%
4. Graph Neural Network 26%
5. Collaborative Filtering 25%
6. Differential Privacy 22%
7. Tag Recommendation 18%
8. Learning Resource 17%
9. Filtering 17%
10. Speed-up 17%
11. Use Case 15%
12. Information Search 13%
13. Recommendation Algorithm 12%
14. Artificial Intelligence 11%
15. Algorithms 11%
16. Research Worker 10%
17. Vocabulary 10%
18. Information Retrieval 9%
19. Human Decision Making 9%
20. User Interaction 9%
21. Collaborative Learning 8%
22. Workplace Learning 8%
23. Mobile Sensor 8%
24. Unfairness 8%
25. Dashboards 8%
26. Social Network Analysis 8%
27. Software Architecture 8%
28. Personal Learning Network 8%
29. Learning Network 8%
30. Answering Service 8%
31. Speaking Country 8%
32. Design Practice 8%
33. Blog 8%
34. Online Activity 8%
35. Category Learning 8%
36. Social Computing 8%
37. Annotation 8%
38. Machine Learning 8%
39. Cold Start Problem 8%
40. Semantics 8%
41. Data Mining 8%
42. Autoencoder 8%
43. Information Service 8%
44. Evaluation 8%
45. Citation Data 8%
46. Digital Object Identifier 8%
47. Service 8%
48. Supervised Classification 8%
49. k-Nearest Neighbors Algorithm 8%
50. Ethical Guideline 8%