【目的】挖掘不同地区的用户饮食偏好,从而揭示不同群体的饮食文化差异,并为餐饮业提供建议。【应用背景】传统饮食偏好研究具有数据收集时间长、样本量少、成本高等不足,而社交媒体的迅猛发展,为获取大规模的用户饮食信息、挖掘用户饮食偏好提供了可能。【方法】以“大众点评网”的用户生成内容作为实验数据,挖掘不同地区的用户饮食偏好,揭示不同地区的饮食文化差异。【结果】来自经济相对发达地区的用户饮食偏好较为丰富,同时,地理距离与用户饮食偏好相似性之间存在显著负相关关系。此外,味道、服务、环境受到各地区用户较高的关注。【结论】基于用户生成内容的饮食偏好挖掘能在一定程度上反映用户的饮食偏好,揭示不同地区的饮食文化差异,为相关研究提供参考。 【Objective】 To explore the user’s diet preferences in different regions so as to reveal the differences in dietary cultures among different groups and to provide suggestions for the catering industry. 【Background】 The research of traditional dietary preference has the disadvantages of long data collection time, small sample size and high cost, and the rapid development of social media makes it possible to obtain large-scale user’s diet information and tap user’s food preferences. 【Method】 Using the user generated content of “Public Comment Network” as experimental data, the user preferences of different regions were tapped to reveal the differences of dietary cultures in different regions. 【Result】 The results showed that users from relatively economically developed regions had a relatively better dietary preference, while there was a significant negative correlation between geographical distance and the user’s preference for dietary preference. In addition, the taste, service, environment by the users in all regions have a higher concern. 【Conclusion】 Dietary preference mining based on user-generated content can reflect the user’s dietary preferences to a certain extent, and reveal the differences in dietary cultures in different regions and provide references for related research.