Banca de QUALIFICAÇÃO: MICKAEL RANINSON CARNEIRO FIGUEREDO

Uma banca de QUALIFICAÇÃO de MESTRADO foi cadastrada pelo programa.
DISCENTE : MICKAEL RANINSON CARNEIRO FIGUEREDO
DATA : 03/05/2019
HORA: 09:00
LOCAL: A308 - IMD
TÍTULO:

A Tourism Multi-user Recommendation Approach Based on Social Medias Photos

PALAVRAS-CHAVES:

Deep Learning, Smart Tourism, Fuzzy Inference, Convolutional Neural Networks, Preference Detection, Recommendation System, Decision Making.

PÁGINAS: 85
GRANDE ÁREA: Ciências Exatas e da Terra
ÁREA: Ciência da Computação
SUBÁREA: Matemática da Computação
ESPECIALIDADE: Modelos Analíticos e de Simulação
RESUMO:

The tourism sector is one of the most relevant economic activity in nowdays. In this way, it is important invest in different approaches to create a great experience during visitors trips in one destination. In a context of Smart Cities, the ideia of Smart Destination appears as one solution to improve the tourism experience using techonlogy to support visitors in one Smart City. The proposed study creates an approach to support a Smart Tourism Destination to create a better trip planning based on photos from social medias. The research aims to create recommendation to single or group of tourists using techniques of image classification and fuzzy inference to map tourists preferences. Through the fuzzy inference system and using the tourism experts knowledge inside a recommendation system, the proposed approach is able to create personalized recommendations using attractions from one Smart Destination

MEMBROS DA BANCA:
Presidente - 1678918 - NELIO ALESSANDRO AZEVEDO CACHO
Interna - 1350250 - ANNE MAGALY DE PAULA CANUTO
Externo ao Programa - 1172485 - ANTONIO CARLOS GAY THOME
Externo ao Programa - 2859562 - LEONARDO CESAR TEONACIO BEZERRA