A novel personalized recommendation algorithm based on trust relevancy degree

Mathematics

• Personalized Recommendation 100%
• Electronic Commerce 25%
• Matrix Factorization 20%
• Data Mining 18%
• Sparsity 16%
• Life 14%
• Experiment 12%

Business & Economics

• Social Networks 34%
• Matrix Factorization 26%
• Data Mining 23%
• Social Trust 21%
• Personal Characteristics 17%
• Rating 15%
• Electronic Commerce 12%
• World Wide Web 10%
• Experiment 9%

Engineering & Materials Science

• Factorization 24%
• Data mining 20%
• Internet 16%
• Experiments 8%