[1]KUANG Haili,CHANG Liang,BIN Chenzhong,et al.Review of a context-aware travel recommendation system[J].CAAI Transactions on Intelligent Systems,2019,14(4):611-618.[doi:10.11992/tis.201901013]
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CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume:
14
Number of periods:
2019 4
Page number:
611-618
Column:
综述
Public date:
2019-07-02
- Title:
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Review of a context-aware travel recommendation system
- Author(s):
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KUANG Haili; CHANG Liang; BIN Chenzhong; GU Tianlong
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Guangxi Key Laboratory of Trusted Software, Guilin University of Electronic Technology, Guilin 541004, China
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- Keywords:
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context-aware; tourism recommendation system; recommendation based on location; social network; personalized recommendation; tourist attraction recommendation; travel route recommendation; travel package recommendation
- CLC:
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TP301
- DOI:
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10.11992/tis.201901013
- Abstract:
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With improved living standards, tourism has become a common leisure activity that has promoted the research of tourism recommendation technologies. When compared with a traditional recommendation system, the quality the proposed system is considerably influenced by the contextual information, including the location, time, weather, and social groups of tourists, in addition to relevant characteristics of tourists and tourism products. In this study, we provide the overall framework of a context-aware tourism recommendation system. The application of four typical types of context information in the travel recommendation system, such as the location, time, visitor social network, and multidimensional context, is investigated in detail, and the tourism recommendation system that comprehensively applies various types of contextual information is analyzed. Further, the tourism recommendation system is classified and inspected from the perspective of the tourism recommendation products. Finally, key and difficult problems faced by the context-aware tourism recommendation system are discussed, and the future research direction is identified.