Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/14516
Título: | Shopping center tracking and recommendation systems |
Autor(es): | Anacleto, Ricardo Luz, Nuno Almeida, Ana Figueiredo, Lino Novais, Paulo |
Palavras-chave: | Mobile Shopping center Tracking Recommendation Marketing |
Data: | 2011 |
Editora: | Springer |
Revista: | Advances in Intelligent and Soft Computing |
Resumo(s): | Shopping centers present a rich and heterogeneous environment, where IT systems can be implemented in order to support the needs of its actors. However, due to the environment complexity, several feasibility issues emerge when designing both the logical and physical architecture of such systems. Additionally, the system must be able to cope with the individual needs of each actor, and provide services that are easily adopted by them, taking into account several sociological and economical aspects. In this sense, we present an overview of current support systems for shopping center environments. From this overview, a high-level model of the domain (involving actors and services) is described along with challenges and possible features in the context of current Semantic Web, mobile device and sensor technologies. |
Tipo: | Artigo em ata de conferência |
Descrição: | Anacleto R., Luz N., Almeida A., Figueiredo L., Novais P., Shopping Center Tracking and Recommendation Systems, in Soft Computing Models in Industrial and Environmental Applications, 6th International Conference SOCO 2011, Corchado E.; Snasel V., Sedano J., Hassanien A.E.; Calvo J.L., Slezak D. (Eds.), Springer - Series Advances in Intelligent and Soft Computing, vol. 87, ISBN 978-3-642-19643-0, pp 299-308, 2011. |
URI: | https://hdl.handle.net/1822/14516 |
ISBN: | 9783642196430 |
DOI: | 10.1007/978-3-642-19644-7_32 |
ISSN: | 1867-5662 |
Versão da editora: | http://dx.doi.org/10.1007/978-3-642-19644-7 |
Arbitragem científica: | yes |
Acesso: | Acesso aberto |
Aparece nas coleções: | DI/CCTC - Artigos (papers) |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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shooping_center_recommendation_system.pdf | 1,99 MB | Adobe PDF | Ver/Abrir |