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Computer Science
Collaborative Filtering
100%
Knowledge Support
81%
Knowledge Flows
79%
User Preference
78%
Experimental Result
77%
Collaboration
65%
Recommender Systems
62%
collaborative filtering algorithm
55%
Rough Set
50%
Table (Data)
43%
Generative Adversarial Networks
43%
Knowledge Sharing
39%
Attention (Machine Learning)
38%
Topic Modeling
33%
Information Systems
31%
Rough Fuzzy Set
31%
Codified Knowledge
30%
Workflow Management System
28%
Data Processing
28%
Hybrid Approach
28%
mobile commerce
26%
Latent Dirichlet Allocation
25%
hybrid recommendation
24%
Metadata
23%
Online Evaluation
23%
Process Model
22%
Matrix Factorization
22%
Knowledge Management
21%
Information Retrieval
21%
e-Services
21%
Knowledge Map
21%
Case-Based Reasoning
21%
Personal Interest
21%
Prediction Model
20%
Sparsity
20%
Association Rules
20%
Rough Set Theory
19%
Interactivity
19%
Business Process
18%
Classification Method
18%
Neural Network
18%
Social Media
18%
Information Worker
17%
Conventional Method
16%
Neural Network Model
16%
Textual Document
16%
Multicriteria
15%
Decision Theory
15%
Collected Data
14%
Approximation (Algorithm)
14%
Keyphrases
Collaborative Filtering
61%
Document Recommendation
52%
Recommendation Method
45%
Product Recommendation
40%
Knowledge Flow
39%
Knowledge Support
36%
Process View
28%
Collaborative Filtering Method
27%
Recommendation Quality
23%
Generative Adversarial Networks
21%
Virtual Worlds
21%
Rough Set Analysis
21%
Knowledge-flow View
21%
Trustworthiness
18%
Knowledge Workers
18%
User Preference
18%
Fuzzy Rough Set
18%
Recommendation System
17%
Content-based Filtering
17%
User-item
17%
Finite Sets
16%
Possibilism
16%
Dominance-based Rough Set Approach
16%
Knowledge Needs
16%
Information Overload
16%
Group-based
15%
Hybrid Method
15%
Question-answering Websites
14%
Blog Articles
14%
Mobile Commerce
14%
Multi-channel
14%
Customer Purchases
14%
Reputation-based
14%
Set-based
14%
Game Recommendation
14%
Commerce
14%
Sequential Rules
14%
Rule Filtering
14%
Decision Class
14%
Recommendation Lists
14%
Sequence Specificity
14%
Long Short-term Memory Neural Network
14%
Online Recommendation
14%
Item Features
13%
Knowledge Sharing
13%
PM2.5 Concentration
12%
Consumption Behavior
12%
Target Customer
12%
Preference-based
12%
Experiment Results
11%
