A Personalized Restaurant Recommender Agent for Mobile E-Service

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	Similar Articles Articles by Hung-Wen Tung Articles by Von-Wun Soo

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

Taipei, Taiwan

March 28-March 31

ISBN: 0-7695-2073-1

	ASCII Text	x
	Hung-Wen Tung, Von-Wun Soo, "A Personalized Restaurant Recommender Agent for Mobile E-Service," e-Technology, e-Commerce, and e-Services, IEEE International Conference on, pp. 259-262, 2004 IEEE International Conference on e-Technology, e-Commerce and e-Service (EEE'04), 2004.

	BibTex	x
	@article{ 10.1109/EEE.2004.1287319, author = {Hung-Wen Tung and Von-Wun Soo}, title = {A Personalized Restaurant Recommender Agent for Mobile E-Service}, journal ={e-Technology, e-Commerce, and e-Services, IEEE International Conference on}, volume = {0}, year = {2004}, isbn = {0-7695-2073-1}, pages = {259-262}, doi = {http://doi.ieeecomputersociety.org/10.1109/EEE.2004.1287319}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - e-Technology, e-Commerce, and e-Services, IEEE International Conference on TI - A Personalized Restaurant Recommender Agent for Mobile E-Service SN - 0-7695-2073-1 SP259 EP262 A1 - Hung-Wen Tung, A1 - Von-Wun Soo, PY - 2004 KW - null VL - 0 JA - e-Technology, e-Commerce, and e-Services, IEEE International Conference on ER -

Hung-Wen Tung, National Tsing Hua University

Von-Wun Soo, National Tsing Hua University

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/EEE.2004.1287319

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. In this paper, 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.

Citation:

Hung-Wen Tung, Von-Wun Soo, "A Personalized Restaurant Recommender Agent for Mobile E-Service," eee, pp.259-262, 2004 IEEE International Conference on e-Technology, e-Commerce and e-Service (EEE'04), 2004

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