A user segmentation approach for ugc platform based on a new lead user identification index system and K-means clustering

Keyphrases

• K-means 100%
• New Leads 100%
• Index System 100%
• Segmentation Approach 100%
• User-generated Content 100%
• User Segments 100%
• Identification Indicators 100%
• Lead User Identification 100%
• Platform-Based 100%
• Web Mining 40%
• Content Data 40%
• Innovative User 40%
• User-generated Content Platform 40%
• China 20%
• Innovation Capability 20%
• Big Data 20%
• Factor Analysis 20%
• Performance Data 20%
• Classification Results 20%
• Clustering Algorithm 20%
• Internet Users 20%
• Algorithm Analysis 20%
• Small to Medium Size Enterprises 20%
• User Groups 20%
• Process-based 20%
• Identification Approach 20%
• User Data 20%
• Classification Process 20%
• User Identification 20%
• Mining Method 20%
• User Performance 20%
• Crawling 20%
• Product Improvement 20%
• User Classification 20%
• Douban 20%
• Lead User Method 20%
• Factor Clustering 20%
• Mining Factors 20%

Computer Science

• Index Systems 100%
• User-Generated Content 100%
• K-Means Clustering 100%
• Segmentation Approach 100%
• User Segmentation 100%
• web-mining 28%
• Small and Medium Enterprise 14%
• User Data 14%
• User Performance 14%
• Mining Process 14%
• Big Data 14%
• classification result 14%
• Clustering Algorithm 14%
• Classification Process 14%
• Performance Data 14%

Engineering

• Content Data 100%
• Clustering Algorithm 50%
• Data User 50%
• Performance Data 50%
• Classification Process 50%
• Big Data 50%