TriPrec: Trip plan recommendation system that enhances hotel services
© 2017 Association for Computing Machinery. This paper presents a recommendation system for tourists who do not have a trip plan in a city they visit. Chiang Mai, Thailand is used as a case study. Thailand Department of Tourism's database and Foursquare API are used in our recommender system to...
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| Main Authors: | , , |
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| Format: | Conference Proceeding |
| Published: |
2018
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| Subjects: | |
| Online Access: | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85030870068&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/57058 |
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| Institution: | Chiang Mai University |