Empirical Study on the Skill Market of Virtual Personal Assistants (VPA)

Ever since smart speakers became popular, the functions that can help users complete a series of tasks through voice interaction are called “skills”. The market integrates all “skills” is called “skill market”. There is a serious imbalance in the distribution of hot spots and user concerns in the skill market, and the research on the distribution of user needs satisfied by skills and points of interest(POI) that users pay attention to is insufficient. User needs and POIs are contained in unstructured data, in order to analyze the distribution of user needs and POIs from unstructured data, this paper conducted an empirical study that used the BERT multi-label classification model to extract the user needs that meets the Maslow's hierarchy of needs from the skill description, and used RAKE algorithm to extract user POIs from user reviews and used knowledge graph to extract the relationships between POIs. Using the analysis results of the extracted data, the paper gives suggestions related to the development direction and POIs that should pay attention to in development for skill developers.