A multi-agent architecture to support B2C e-Marketplaces: the e-ZOCO case study

作者：Jesus Castro Schez Jose; Miguel Raul; Vallejo David; Herrera Vanesa

来源：Internet Research, 2010, 20(3): 255-275.

• Electronic commerce
• Internet

Purpose - The purpose of this paper is to introduce a multi-agent architecture, which offers services to be applied in B2C e-Marketplaces and to present the core system: the search agent.
Design/methodology/approach - The different parts that compose an e-commerce portal are naturally performed through intelligent agents, which have the ability to communicate with one another and autonomously act depending on defined goals.
Findings - The search agent returns the more relevant results in direct shopping than others previously used. It is based on a usability-improved fuzzy searching mechanism that allows the specification of uncertain and vague searching preferences.
Research limitations/implications - More empirical research efforts need to be directed to study the efficiency over time. This work is based on a prototype, which is its main limitation.
Practical implications - Intelligent agents can be useful to improve e-commerce services in B2C portals.
Originality/value - The research extends previous authors' work on the application of intelligent agents to e-commerce fields.

• 出版日期2010