Scheduled System Maintenance:
Some services will be unavailable Sunday, March 29th through Monday, March 30th. We apologize for the inconvenience.
By Topic

A personalized restaurant recommender agent for mobile e-service

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Hung-Wen Tung ; Dept. of Comput. Sci., Nat. Tsing Hua Univ., Hsinchu, Taiwan ; Von-Wun Soo

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.

Published in:

e-Technology, e-Commerce and e-Service, 2004. EEE '04. 2004 IEEE International Conference on

Date of Conference:

28-31 March 2004