Leveraging multiviews of trust and similarity to enhance clustering-based recommender systems

Engineering

• Similarities 100%
• Dataset 66%
• Models 33%
• Probabilistic Method 33%
• Demonstrates 33%
• Experimental Result 33%
• Cold Start 33%
• Determines 33%
• Real World 33%
• Supports 33%

INIS

• prediction 100%
• data 100%
• accuracy 66%
• recommendations 33%
• vectors 33%
• probabilistic estimation 33%

Computer Science

• User 100%
• Recommender Systems 100%
• Trust Relationship 50%
• Large Scale Data 25%
• Related Feature 25%
• Support Vector Regression 25%
• Scale Data Set 25%