摘要
LBS算法通过情感分析模型分析各旅游景点评论信息,分析用户的喜好,然后使用基于用户的协同过滤模型,配合用户和景点的地理信息,设计出一种旅游行程推荐算法,结合用户的喜好信息以及旅行模式,从而为旅行用户推荐满足其个人信息爱好的个性化的行程规划表。
LBS algorithm analyzes the tourist attraction information through the sentiment analysis model, analyzes the user’s preferences, and then uses the user-based collaborative filtering model to match the geographic information of users and attractions to design a travel itinerary recommendation algorithm, combined with the user’s preference information and Travel mode to recommend a personalized itinerary for travel users to meet their personal information preferences.
作者
潘禄生
Pan Lusheng(Gansu animal husbandry engineering Career Technical College,Wuwei Gansu,73300)
出处
《电子测试》
2018年第21期57-59,共3页
Electronic Test
基金
甘肃省高等学校科研项目(2017A-205)
关键词
LBS
情感分析模型
协同过滤模型
个性化推荐
旅游线路推荐
Location based service
Emotional analysis model
Collaborative filtering model
Personalized recommendation
Travel route recommendation
