A Hybrid Probabilistic Multiobjective Evolutionary Algorithm for Commercial Recommendation Systems

Keyphrases

• Recommendation System 100%
• Many-objective Evolutionary Algorithm (MaOEA) 100%
• Recommendation Accuracy 66%
• New Item 66%
• Algorithm Framework 33%
• Total Profit 33%
• Genetic Operators 33%
• Work Design 33%
• State-of-the-art Techniques 33%
• Recommendation Method 33%
• Amazon 33%
• Big Data-driven 33%
• Cold-start Problem 33%
• Hypervolume 33%
• Complementary Advantages 33%
• EBay 33%
• Multi-objective Recommendation 33%

Computer Science

• multi-objective evolutionary algorithm 100%
• Recommendation Accuracy 66%
• Experimental Result 33%
• Big Data 33%
• Multiobjective 33%
• Genetic Operator 33%
• Cold Start Problem 33%
• Complex System 33%