Modeling service-based multimedia content adaptation in pervasive computing
Proceedings of the 1st conference on Computing frontiers
An Agent-Based Framework for Impulse-Induced Mobile Shopping
CIT '04 Proceedings of the The Fourth International Conference on Computer and Information Technology
An Agent-Based Service Network for Personal Mobile Devices
IEEE Pervasive Computing
Combined People Position and Compass Detection for Context-Aware Service Provision
ICPPW '06 Proceedings of the 2006 International Conference Workshops on Parallel Processing
What am I gonna wear?: scenario-oriented recommendation
Proceedings of the 12th international conference on Intelligent user interfaces
Towards optimal multi-item shopping basket management: heuristic approach
OTM'10 Proceedings of the 2010 international conference on On the move to meaningful internet systems
International Journal of E-Business Research
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In this work we propose a smart, human-like PDA-based personal shopper assistant. The system is able to understand the user needs through a spoken natural language interaction and then stores the preferences of the potential customer. Subsequently the personal shopper suggests the most suitable items and shops that match the user profile. The interaction is given by automatic speech recognition and text-to-speech technologies; localization is allowed by the use of Wireless technologies, while the interaction is performed by an Alice-based chat-bot endowed with reasoning capabilities. Besides, being implemented on a PDA, the personal shopper satisfies the user needs of mobility and it is also usable on different mobile devices.