gTravel: Weather-Aware POI Recommendation Engine for a Group of Tourists
Título del documento: gTravel: Weather-Aware POI Recommendation Engine for a Group of Tourists
Revista: Computación y sistemas
Base de datos:
Número de sistema: 000560824
ISSN: 1405-5546
Autores: 1
1
2
Instituciones: 1Rama Devi Women’s University, Bhubaneswar. India
2Biju Patnaik University Of Technology, Rourkela, Orissa. India
Año:
Periodo: Jul-Sep
Volumen: 27
Número: 3
Paginación: 667-674
País: México
Idioma: Inglés
Resumen en inglés Weather is a big factor in tourist decisions, and certain places or events aren’t even recommended during dangerously bad weather. It is difficult to provide a better recommendation to a group of tourists in these circumstances. We propose gTravel, a weather assistant framework that predicts weather in specified points of interest for a group of tourists. We demonstrate how prior knowledge of climatic patterns at a POI, as well as prior insights into how visitors rank their destinations in a variety of weather conditions, can help improve choice reliability. According to our findings, the recommendations are significantly more valid, and the recommended remedy is more comfortable.
Keyword: POI,
Tourist,
Weather,
Recommendation,
Interest
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