A personalized restaurant recommender agent for mobile e-service

A recommender agent in mobile environments should be context-aware to assist users while the users are moving. Many different kinds of contexts can be used by a recommender agent, such as weather, route conditions, time and location, etc. We demonstrate a prototype design of a software agent that recommends travel-related information according to contexts of the user in mobile environment. The recommendation procedure includes the dialogue between the user and the agent for modifying constraints given to the agent. We illustrate with a scenario of recommending a restaurant to a tourist in Taipei city by interacting with a personalized agent in a mobile device.