电子商务中的个性化产品推荐

IEEE International Conference on e-Technology, e-Commerce and e-Service, 2004. EEE '04. 2004 Pub Date : 2004-03-28 DOI:10.1109/EEE.2004.1287340

S. Weng, Meiran Liu

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引用次数: 38

摘要

目的是从交易记录和产品特征数据库中分析基于产品特征的顾客购买行为。分析顾客对产品的特定特征的偏好，然后得出顾客兴趣概况的规则，以便向顾客推荐对顾客有潜在吸引力的产品。本文的方法有其优势，可以向客户推荐品牌新产品或很少购买的产品，只要它们符合客户的兴趣概况。这项研究还得出了客户的兴趣概况，可以解释推荐结果。对产品特定特性的兴趣可以作为产品开发的参考。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Personalized product recommendation in e-commerce

The purpose is to analyze customers' purchasing behaviors based on product features from transaction records and product feature databases. Customers' preferences toward particular features of products are analyzed and then rules of customer interest profiles are thus derived in order to recommend customer products that have potential attraction with customers. The approach of this paper has its strength to be able to recommend to customers brand new products or rarely purchased products as long as they fit customer interest profiles. This research also derives customers' interest profiles that can explain recommendation results. The interests on particular features of products can be referenced for product development.

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来源期刊

IEEE International Conference on e-Technology, e-Commerce and e-Service, 2004. EEE '04. 2004

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