基于潜在主题及成本的群组旅游推荐算法

With the widespread use of smart devices, location-based recommendations are becoming more popular. As a major application of location recommendation, travel recommendation has quickly become a research hotspot in the field of recommendation system. Unlike personalized recommendations, group recommendations need to meet the preferences of each user in the group as much as possible.This paper mainly studies group travel recommendation and proposes a group travel recommendation algorithm based on potential topics and costs.Experiments show that the proposed algorithm can effectively improve the accuracy and recall rate of recommendations.