Recommendation-Aware Smartphone Sensing System
Título del documento: Recommendation-Aware Smartphone Sensing System
Revista: Journal of applied research and technology
Base de datos: PERIÓDICA
Número de sistema: 000380488
ISSN: 1665-6423
Autores: 1
1
2
3
1
Instituciones: 1National Taichung University of Science and Technology, Department of Information Management, Taichung. Taiwán
2National Chung Hsing University, Department of Management Information Systems, Taichung. Taiwán
3National Taichung University of Science and Technology, Department of Computer Science and Information Engineering, Taichung. Taiwán
Año:
Periodo: Dic
Volumen: 12
Número: 6
Paginación: 1040-1050
País: México
Idioma: Inglés
Tipo de documento: Artículo
Enfoque: Experimental, aplicado
Resumen en inglés The context-aware concept is to reduce the gap between users and information systems so that the information systems actively get to understand users' context and demand and in return provide users with better experience. This study integrates the concept of context-aware with association algorithms to establish the context-aware recommendation systems (CARS). The CARS contains three modules and provides the product recommendations for users with their smartphone. First, the simple RSSI Indoor localization module (SRILM) locates the user position and detects the context information surrounding around users. Second, the Apriori recommendation module (ARM) provides effective recommended product information for users through association rules mining. The appropriate product information can be received effectiveness and greatly enhanced the recommendation service
Disciplinas: Ingeniería,
Ciencias de la computación
Palabras clave: Ingeniería de telecomunicaciones,
Teléfonos inteligentes,
Informática contextual,
Servicio de recomendaciones
Keyword: Engineering,
Computer science,
Telecommunications engineering,
Smartphones,
Context-aware computing,
Recommendations service
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