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...
Saved in:
Main Authors: | Nonnadda Silamai, Narongchai Khamchuen, Santi Phithakkitnukoon |
---|---|
格式: | Conference Proceeding |
出版: |
2018
|
主題: | |
在線閱讀: | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85030870068&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/57058 |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
機構: | Chiang Mai University |
相似書籍
-
TriPrec: Trip plan recommendation system that enhances hotel services
由: Nonnadda Silamai, et al.
出版: (2018) -
Trip Distribution Modeling Using Mobile Phone Data: Emphasis on Intra-Zonal Trips
由: Merkebe Getachew Demissie, et al.
出版: (2018) -
How the quality of call detail records influences the detection of commuting trips
由: Joel Pires, et al.
出版: (2020) -
A cross-service travel engine for trip planning
由: Chen, G., et al.
出版: (2013) -
ORIENTEERING PROBLEM WITH HOTEL SELECTION AND TIME-DEPENDENT SCORE FOR TOURIST TRIP PLANNING
由: Estavan I Sitanggang, Bryan