基于潜在主题及成本的群组旅游推荐算法
首发时间:2019-01-28
摘要:随着智能设备的普遍使用,基于地理位置的推荐越来越流行。旅游推荐作为地点推荐的一大应用,快速成为推荐系统领域的研究热点。不同于个性化的推荐,群组推荐需要尽可能满足群组中每一个用户的偏好。本文主要研究群组旅游推荐,并提出一个基于潜在主题及成本的群组旅游推荐算法。通过实验证明,本文提出的算法能够有效的提升推荐的精确率和召回率。
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Group Travel Recommendation Algorithm based on Potential Topic and Cost
Abstract: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.
Keywords: computer application Travel recommendation group recommendation
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