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首页> 外文会议>2002 Information Resources Management Association International Conference Vol.1; May 19-22, 2002; Seattle, Washington, USA >A Knowledge-Based Recommender System for Customized Online Shopping
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A Knowledge-Based Recommender System for Customized Online Shopping

机译：基于知识的定制在线购物推荐系统

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摘要

The concept of personalization has long been advocated to be one of the edges to improve the stickiness of on-line stores. By enabling an on-line store with adequate knowledge about the preference characteristics of different customers, it is possible to provide customized services to further raise the customer satisfaction level. In this paper, we describe in details how to implement a knowledge-based recommender system for supporting such an adaptive store. Our proposed conceptual framework is characterized by a user profiling and product characterization module, a matching engine, an intelligent gift finder, and a backend subsystem for content management. A prototype of an on-line furnishing company has been built for idea illustration. Limitations and future extensions of the proposed system are also discussed.
机译：长期以来，个性化的概念一直被提倡为提高在线商店粘性的优势之一。通过使在线商店对不同顾客的偏好特征有足够的了解，可以提供定制服务来进一步提高顾客满意度。在本文中，我们详细描述了如何实现基于知识的推荐系统来支持这种自适应商店。我们提出的概念框架的特征在于用户配置文件和产品特征模块，匹配引擎，智能礼物查找器以及用于内容管理的后端子系统。在线家具公司的原型已被构建用于想法说明。还讨论了所提出系统的局限性和将来的扩展。

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