Computer Science
Recommender Systems
100%
Android
77%
Collaborative Filtering
67%
Malware Detection
54%
Deep Learning Method
48%
Malware
43%
Machine Learning
40%
Learning System
40%
Android Malware
35%
Neural Network
35%
Cyber Attack
27%
Convolutional Neural Network
25%
collaborative filtering algorithm
25%
Online Environment
25%
Natural Language Processing
21%
Blockchain
19%
Privacy Preserving
16%
collaborative recommendation
16%
User Modeling
16%
Case-Based Reasoning
16%
Learning Approach
16%
Decision-Making
16%
Virtual Private Networks
16%
Social Engineering Attack
16%
Reproducibility
16%
Attackers
16%
Cybersecurity
14%
Supply Chain
14%
User Experience
13%
Social Network
13%
Evaluation Metric
13%
Service Recommendation
12%
Recommendation Algorithm
12%
Risk Management
11%
Mean Absolute Error
10%
Privacy Concern
9%
User Privacy
9%
Mobile Environment
9%
Artificial Intelligence
9%
Vulnerable People
8%
Random Perturbation
8%
Multilevel Method
8%
System Evaluation
8%
Automated Decision
8%
Matrix Factorization
8%
Readiness Assessment
8%
Cryptocurrency
8%
Algorithm Selection
8%
Combination Method
8%
Crypto Currency
8%
Keyphrases
Recommender Systems
66%
Collaborative Filtering
61%
Android
47%
Recommendation Method
39%
Malware Detection
36%
Deep Learning
35%
Malware
33%
Machine Learning
29%
Product Recommendation
26%
Neural Network
26%
Cyber-attacks
25%
Attacker
25%
Online Environment
23%
Personalized Recommendation
22%
Collaborative Filtering Method
19%
Evaluation Metrics
19%
Deep Learning Methods
19%
Natural Language Processing
19%
Attack Graph
18%
Android App
18%
Electronic Commerce
17%
Explicit Relationship
16%
Privacy Concerns
16%
Mobile Recommender Systems
16%
Permission-based
16%
Cyber Attack Prediction
16%
User Modeling
16%
Twitter
16%
Anti-malware
16%
Case-based Reasoning
16%
Virtual Private Network
16%
Social Engineering Attacks
16%
Experiment Reproducibility
16%
Convolutional Neural Network
16%
Android Malware Detection
16%
Blockchain
15%
Information Overload
14%
Android Devices
13%
Twitter User
12%
Collaborative Recommendation
12%
System Algorithm
12%
User Privacy
12%
Recommendation Evaluation
12%
Android Malware
11%
Privacy-preserving
11%
Maritime Supply Chain
11%
Products or Services
11%
Privacy-preserving Recommendation
11%
Offline Evaluation
11%
Collaborative Recommender Systems
10%
