WDTourism: A Personalized Tourism Recommendation System Based on Semantic Web

被引：0

作者：

Dai, Kaiyu ^{[1
]}

Ji, Pengfei ^{[1
]}

Zuo, Xiaorui ^{[2
]}

Dai, Daixin ^{[3
]}

机构：

[1] Fudan Univ, Software Sch, Shanghai, Peoples R China

[2] Fudan Univ, Sch Econ, Shanghai, Peoples R China

[3] Tongji Univ, Coll Architecture & Urban Planning, Shanghai, Peoples R China

来源：

ADVANCES AND TRENDS IN ARTIFICIAL INTELLIGENCE: THEORY AND PRACTICES IN ARTIFICIAL INTELLIGENCE | 2022年 / 13343卷

关键词：

Smart tourism; Personalized recommendation; Semantic web; Ontology; PRINCIPLES; TECHNOLOGY;

D O I：

10.1007/978-3-031-08530-7_78

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

With the application of modern intelligent technologies, the smart tourism which aims to meet the personalized needs of tourists and provide high satisfaction service developed rapidly. In this paper, a personalized recommendation system for smart tourism named WDTourism was developed based on Semantic Web technology. The ontologies for scenic spots and their associations are constructed, including the information of over three hundred scenic spots in Taiwan. User portraits are calculated through three kinds of interactive behaviors between users and the system. The prototype system realized route recommendation based on spatio-temporal information and user-defined route planning. The feedbacks of the system users illustrated the effectiveness of the system.

引用

页码：920 / 934

页数：15

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