Abstract
PurposeThe 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/approachThe 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.FindingsThe 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/implicationsMore 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 implicationsIntelligent agents can be useful to improve e‐commerce services in B2C portals.Originality/valueThe research extends previous authors' work on the application of intelligent agents to e‐commerce fields.
Published Version
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
