Title of article
An Agent-based Online Shopping System in E-commerce
Author/Authors
Ziming Zeng، نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 2009
Pages
6
From page
14
To page
19
Abstract
The paper presents an agent-based shopping system. First, the system can acquire the customerʹs current needs from system-customer interactions. Then the system integrates built-in expert knowledge and the customerʹs current needs, and recommends optimal products based on multi-attribute decision method. In order to maintain a semantic conversation with sellers, the commodity ontology is also utilized to support sharable information format and representation. Finally, an experimental prototype based on JADE is developed.
Keywords
E-COMMERCE , Collaborative filtering , Agent , Multi-attribute decision making , Commodity ontology
Journal title
Computer and Information Science
Serial Year
2009
Journal title
Computer and Information Science
Record number
678403
Link To Document