A survey on personality-aware recommendation systems

With the emergence of personality computing as a new research field related to artificial intelligence and psychology, we have witnessed an unprecedented proliferation personality-aware recommendation systems. Unlike conventional systems, these systems solve traditional problems such cold start data sparsity problems. This survey aims study systematically classify To best our knowledge, this is first that focuses on We explore different design choices by comparing their modeling methods, well techniques. Furthermore, present commonly used datasets point out some challenges