Anais > Edições Anteriores > Anais do XVIII WCF 2022 > Recommender Systems using GIS: a review of the literature

Recommender Systems using GIS: a review of the literature

Autores: Luis F. M. Alves, Luis M. del Val Cura

Recommender systems using GIS are already a reality in some fields, such as tourism. In others, it is still in its first steps. Our main interest is agriculture, which, according to (PIERCE et al, 2007), “the GIS user community in production agriculture is rather small compared to other business sectors”. Agriculture has a very specific set of requirements, which change largely based on climate, location, season, crop, soil quality and many other factors. In this work, we will get a picture of the current state of development of recommender systems using GIS, and, to a smaller degree, recommender systems in agriculture generally. But first, we must define what are recommender systems and GIS

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