A survey on personality-aware recommendation systems
作者:Sahraoui Dhelim, Nyothiri Aung, Mohammed Amine Bouras, Huansheng Ning, Erik Cambria
摘要
With the emergence of personality computing as a new research field related to artificial intelligence and personality psychology, we have witnessed an unprecedented proliferation of personality-aware recommendation systems. Unlike conventional recommendation systems, these new systems solve traditional problems such as the cold start and data sparsity problems. This survey aims to study and systematically classify personality-aware recommendation systems. To the best of our knowledge, this survey is the first that focuses on personality-aware recommendation systems. We explore the different design choices of personality-aware recommendation systems, by comparing their personality modeling methods, as well as their recommendation techniques. Furthermore, we present the commonly used datasets and point out some of the challenges of personality-aware recommendation systems.
论文关键词:Recommendation systems, Personality computing, Personality-aware recommendation, Social computing, Collaborative filtering, Personality detection, Deep-learning, Hybrid filtering, Social recommendation
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论文官网地址:https://doi.org/10.1007/s10462-021-10063-7