Agent-based grocery shopping system based on user's preference
Kwang Hyoun Joo
Kinoshita, T.
Shiratori, N.
Res. Inst. of Electr. Commun., Tohoku Univ., Sendai;
This paper appears in: Parallel and Distributed Systems: Workshops, Seventh International Conference on, 2000
Publication Date: Oct 2000
On page(s): 499-505
Meeting Date: 07/04/2000 - 07/07/2000
Location: Iwate, Japan
ISBN: 0-7695-0571-6
References Cited: 14
INSPEC Accession Number: 6763160
Digital Object Identifier: 10.1109/PADSW.2000.884674
Current Version Published: 2002-08-06
Abstract
We propose an agent-based grocery shopping system, which automates
grocery shopping process by comparing grocery information based on
user's preference. The agents gather grocery information from several
store server agents and compare it with user's preferences of groceries
and stores. The agents could adapt to user's up-to-date preference by
learning from his/her evaluation of previous shopping results. There are
three organization agents in our system: a user agent, an information
management agent, and a store server agent. The organization agent is
responsible for organizing the primitive agents and coordinating message
delivery. By implementing a prototype of the agent-based grocery
shopping system, we have confirmed that it is instrumental in purchasing
the best possible groceries of user's preference from several grocery
stores. This system eliminates or reduces the burden of grocery
shopping, and helps user save enormous time required shopping around
grocery stores
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