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: Nonnadda Silamai, Narongchai Khamchuen, Santi Phithakkitnukoon
Format: Conference Proceeding
Published: 2018
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
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spelling th-cmuir.6653943832-570582018-09-05T03:34:27Z TriPrec: Trip plan recommendation system that enhances hotel services Nonnadda Silamai Narongchai Khamchuen Santi Phithakkitnukoon Computer Science © 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 create a one-day trip for the user. The recommendation is made based on the user's preferred tourist destination type images, current location, appropriate distance, time period, and place's popularity. The system also recommends restaurants and coffee shops that are nearby each recommended attraction, and it also displays the suggested route with street views so that the user can get an idea of how the journey is going to look like. Moreover, the user can print out the recommended result so that they can take it with them on their trip. The system is developed to be used as a desktop application installed at the hotel to enhance hotel services. 2018-09-05T03:34:27Z 2018-09-05T03:34:27Z 2017-09-11 Conference Proceeding 2-s2.0-85030870068 10.1145/3123024.3124414 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85030870068&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/57058
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
topic Computer Science
spellingShingle Computer Science
Nonnadda Silamai
Narongchai Khamchuen
Santi Phithakkitnukoon
TriPrec: Trip plan recommendation system that enhances hotel services
description © 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 create a one-day trip for the user. The recommendation is made based on the user's preferred tourist destination type images, current location, appropriate distance, time period, and place's popularity. The system also recommends restaurants and coffee shops that are nearby each recommended attraction, and it also displays the suggested route with street views so that the user can get an idea of how the journey is going to look like. Moreover, the user can print out the recommended result so that they can take it with them on their trip. The system is developed to be used as a desktop application installed at the hotel to enhance hotel services.
format Conference Proceeding
author Nonnadda Silamai
Narongchai Khamchuen
Santi Phithakkitnukoon
author_facet Nonnadda Silamai
Narongchai Khamchuen
Santi Phithakkitnukoon
author_sort Nonnadda Silamai
title TriPrec: Trip plan recommendation system that enhances hotel services
title_short TriPrec: Trip plan recommendation system that enhances hotel services
title_full TriPrec: Trip plan recommendation system that enhances hotel services
title_fullStr TriPrec: Trip plan recommendation system that enhances hotel services
title_full_unstemmed TriPrec: Trip plan recommendation system that enhances hotel services
title_sort triprec: trip plan recommendation system that enhances hotel services
publishDate 2018
url 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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