Case-based reasoning support for online catalog sales

Vollrath I.; Wilke W.

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Case-based reasoning support for online catalog sales

机译：基于案例的推理支持在线目录销售

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Case-based reasoning uses similarity measures and domain-specific knowledge for information retrieval and problem solving. The paper considers how CBR techniques can be applied to e-commerce applications to enable intelligent sales support. It reviews the limitations of ordinary databases to this task and then examines CBR techniques that can improve the usefulness of electronic catalogs. It describes an implementation of a CBR-based system in a specific application domain, and concludes with brief descriptions of two projects at the University of Kaiserslautern that advance these systems.

机译：基于案例的推理将相似性度量和特定领域的知识用于信息检索和问题解决。本文考虑了如何将CBR技术应用于电子商务应用程序以实现智能销售支持。它回顾了普通数据库对此任务的局限性，然后研究了可提高电子目录实用性的CBR技术。它描述了在特定应用领域中基于CBR的系统的实现，并以对Kaiserslautern大学推进这些系统的两个项目的简要描述作为结束。

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《IEEE internet computing》 |1998年第4期|P.47-54|共8页
作者
Vollrath I.; Wilke W.;
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正文语种 eng
中图分类计算技术、计算机技术;
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Case-based reasoning support for online catalog sales

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