Intelligent E-Commerce with Guiding Agents Based on Personalized Interaction Tools

Thiel, Ulrich; L'Abbate, Marcello; Paradiso, Aldo; Stein, Adelheit; Semeraro, Giovanni; Abbattista, Fabio; Lops, Pasquale

doi:10.1007/978-3-642-55792-7_5

Cited by 4 publications

(2 citation statements)

References 2 publications

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“…Instead, the inherent potential for interactive data processing and man-machine dialogue should be used by e-commerce applications to meet the user's need for immediate situation-specific response, instantly available problem-specific advice, and better ways to access and inspect the supplier's offer [23].…”

Section: Eca Rule Negotiation Agent In E-commercementioning

confidence: 99%

ECA Rule-Based Negotiation Agent in E-commerce

Mahan

Isazadeh

Khanli

2010

2010 Second International Conference on Communication Software and Networks

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E-commerce is seen as one of the key services of modern information society. The idea of automating ecommerce transactions attracted a lot of interest during the last years. Multi-agent systems are claimed to be one of promising software technologies for achieving this goal. Rules constitute a very promising approach to describing negotiation processes. We suggest ECA rule-based approaches to automated negotiations. The experimental scenario considers multiple buyer and seller agents that are performed in parallel.

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Section: Eca Rule Negotiation Agent In E-commercementioning

confidence: 99%

ECA Rule-Based Negotiation Agent in E-commerce

Mahan

Isazadeh

Khanli

2010

2010 Second International Conference on Communication Software and Networks

View full text Add to dashboard Cite

show abstract

“…In theory, the ultimate solution for this would be a full naturallanguage interface with an intelligent agent in the background that has both the full domain knowledge as well as the required conversational knowledge, i.e., how to lead dialogs or react on specific situations. Existing work in that direction (e.g., [22], [23]) shows the general applicability of such natural-language style approaches in e-commerce settings, but still there are open problems. Beside the unresolved problem of understanding general user utterances beside from domain knowledge, today's systems still require huge knowledge acquisition and dialog modeling efforts to reach an acceptable dialog quality.…”

Section: Natural Language Interactionmentioning

confidence: 99%