Resumo

TRIVEDI, Rajani; PATI, Bibudhendu  e  RATH, Subhendu Kumar. gTravel: Weather-Aware POI Recommendation Engine for a Group of Tourists. Comp. y Sist. [online]. 2023, vol.27, n.3, pp.667-674.  Epub 17-Nov-2023. ISSN 2007-9737.  https://doi.org/10.13053/cys-27-3-4550.

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.

Palavras-chave : POI; tourist; weather; recommendation; interest.

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