'TripBuddy' Travel Planner with Recommendation based on User‘s Browsing Behaviour
| Autor: | Rini Wongso, Ferdinand Ariandy Luwinda, Frenky, Merlinda Sumardi, Jufery |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
0106 biological sciences
Schedule Computer science 02 engineering and technology Plan (drawing) Destinations Planner 01 natural sciences World Wide Web Factor (programming language) 0202 electrical engineering electronic engineering information engineering General Earth and Planetary Sciences 020201 artificial intelligence & image processing Duration (project management) Cluster analysis computer Tourism 010606 plant biology & botany General Environmental Science computer.programming_language |
| Zdroj: | ICCSCI |
| ISSN: | 1877-0509 |
| DOI: | 10.1016/j.procs.2017.10.084 |
| Popis: | Tourism has been an irreplaceable part of economy growth of every country. By that factor, the authors were encouraged to build an application to serve detail information of tour destinations to provide easy preparation for travelling. The application, TripBuddy, was developed to learn user’s behavior based on empiric data, which used to offer relevant destinations to certain user by using K-Means Clustering. TripBuddy is a web-based application which suggests optimal route with detail information of destinations, schedule, cost and duration to ease user’s travel plan and it also gives recommendation based on user’s browsing behavior |
| Databáze: | OpenAIRE |
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