Finding the Appropriate Housing: A Fuzzy-Model-Based Recommender System
Abstract:
When looking at housing concerns, the most frequent question posed by citizens finding a suitable site in agreement with their wishes. Nowadays, they are faced with cent housing offers through the internet. In this context, new decision support systems are claimed to help citizens choose the best one. Recommender systems are currently successful solutions to support users who adjust their preferences with information overload. However, to deal with human uncertainty, new challenges arise in recommender systems that have been little explored. This work proposes an approach to suggest the appropriate housing, based on the decent housing model proposed by the United Nations, in the framework of the Habitat III conference and citizen’s wishes. An exploratory research approach was used. The process started picked up the data set from the platform PUC 1 ; after that, the data set was cleaning and predicting …
Año de publicación:
2021
Keywords:
Fuente:

Tipo de documento:
Other
Estado:
Acceso abierto
Áreas de conocimiento:
- Inteligencia artificial
- Lógica difusa
Áreas temáticas de Dewey:
- Ciencias de la computación

Objetivos de Desarrollo Sostenible:
- ODS 11: Ciudades y comunidades sostenibles
- ODS 1: Fin de la pobreza
- ODS 10: Reducción de las desigualdades
