Computer Science
Recommender Systems
100%
Collaborative Filtering
69%
Neural Network
39%
Influence Diagram
29%
Experimental Result
27%
Decision Problem
24%
Decision-Making
23%
Group Members
19%
Incomplete Information
17%
Class Analysis
16%
Online Game
15%
Decision Model
15%
Data Mining Technique
14%
Constraint Satisfaction Problems
14%
Customer Satisfaction
14%
Association Rules
13%
Customer Behavior
12%
Prediction Model
11%
Service Recommendation
11%
Individual Member
11%
Facial Expression
11%
Influencing Factor
10%
Sparsity
10%
Organizing Map
9%
Extrinsic Motivation
9%
Intrinsic Motivation
9%
User Preference
8%
Convolutional Neural Network
8%
Decision Maker
8%
Online Communities
7%
Customer Network
7%
Microcomputer
7%
Decision Tree Induction
7%
Filtering Method
7%
Deep Learning Method
7%
Emotional State
7%
Peer-to-Peer System
7%
Digital Content
7%
Target Customer
6%
Travel Planning
6%
Product Life Cycle
6%
Case-Based Reasoning
6%
Attribute Group
6%
e-learning Systems
6%
Multiple Attribute
6%
collaborative recommendation
6%
Singular Value
6%
Evaluated Group
6%
Theoretical Approach
6%
Extreme Gradient Boosting
6%
Engineering
Filtration
36%
Influence Diagram
31%
Electric Network Analysis
11%
Experimental Result
10%
Customer Satisfaction
8%
Artificial Neural Network
7%
Deep Learning Method
7%
Sparsity
6%
Quality Function
6%
Singular Value Decomposition
6%
System Development
6%
Life-Cycle Approach
6%
Facial Expression
6%
Quality Function Deployment
6%
Hotels
6%
Product Life Cycle
6%
Limited Resource
6%
Survival Time
6%
Approach Phase
6%
Limitations
6%
Similarities
6%
Decision Maker
5%
Data Show
5%
Convolutional Neural Network
5%
