TriPrec: Trip plan recommendation system that enhances hotel services

• المؤلفون الرئيسيون: Nonnadda Silamai, Narongchai Khamchuen, Santi Phithakkitnukoon
• التنسيق: وقائع المؤتمر
• منشور في: 2018
• الموضوعات: Computer Science
• الوصول للمادة أونلاين: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85030870068&origin=inward; http://cmuir.cmu.ac.th/jspui/handle/6653943832/57058
• المؤسسة: Chiang Mai University

© 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...