[1]YOCHUM Phatpicha,常亮,古天龙,等.基于位置和开放链接数据的旅游推荐系统综述[J].智能系统学报,2020,15(1):25-32.[doi:10.11992/tis.201912023]
 YOCHUM Phatpicha,CHANG Liang,GU Tianlong,et al.A review of linked open data in location-based recommendation system in the tourism domain[J].CAAI Transactions on Intelligent Systems,2020,15(1):25-32.[doi:10.11992/tis.201912023]





A review of linked open data in location-based recommendation system in the tourism domain
YOCHUM Phatpicha 常亮 古天龙 祝曼丽
桂林电子科技大学 广西可信软件重点实验室, 广西 桂林 541004
YOCHUM Phatpicha CHANG Liang GU Tianlong ZHU Manli
Guangxi Key Laboratory of Trusted Software, Guilin University of Electronic Technology, Guilin 541004, China
linked open datalocation-based recommendationtourism route recommendationtrajectory miningpersonalized recommendationontology
Using linked open data to solve the problem of information overload in location-based recommendation system is currently a hot topic. In particular, it has shown a great promising future in the tourism area. First, we make an introduction to the recommendation system, then present linked open data of tourism. We also have a detailed survey of journal papers that were published from 2014 to 2018 on the recommendation system in the tourism domain based on location and linked open data, including classification of publications, categorization of recommendation applications, and research achievements. Further, the applications of six typical types of linked open data in location-based tourism recommendation system, such as stand-alone point location-based recommendation, travel route recommendation, GPS trajectory-based recommendation, geo-tagged-media-based recommendation, ontology-based location recommendation, and location-based friend recommendation, are investigated in detail. A summary of the paper and the future research directions are made in the end.


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 KUANG Haili,CHANG Liang,BIN Chenzhong,et al.Review of a context-aware travel recommendation system[J].CAAI Transactions on Intelligent Systems,2019,14(1):611.[doi:10.11992/tis.201901013]


作者简介:YOCHUM Phatpicha,博士研究生,主要研究方向为机器学习、推荐系统;常亮,教授,博士,中国计算机学会高级会员,主要研究方向为数据与知识工程、形式化方法、智能系统。主持并完成国家自然科学基金项目1项、广西省自然科学基金项目1项,发表学术论文70余篇;古天龙,教授,博士生导师,博士,主要研究方向为形式化方法、知识工程与符号推理、协议工程与移动计算、可信泛在网络、嵌入式系统。主持国家863计划项目、国家自然科学基金、国防预研重点项目、国防预研基金项目等30余项。出版学术著作3部,发 表学术论文130余篇
更新日期/Last Update: 1900-01-01