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Research on dynamical optimization approach of personalized e-catalog

机译：个性化电子目录动态优化方法研究

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Service industry develops so fast that the researches in personalized service recommendation have lagged far behind it. Thanks to the research on improving customer experience and enhancing customer loyalty, electronic business enterprises can optimize their quality of service (Qos).However, some basic problems, among others, remain to be solved. One key problem is that customer's personalized requirements change over time; the existing research of improving customer experience can't fulfill customer's dynamic requirements. The paper designed a dynamical optimization approach of personalized e-catalog (PEC) based on user personalized preference. And with the user preferences change over time, the ontology of PEC optimized though the following operations: add and delete nodes (branches).The improved e-catalog provide smart service which is more satisfied to the users' needs and wants than the former PEC, and it would complete the recommendation of related products of enterprises. This paper may be used as a reference for electronic business enterprises to optimize standard of personalized service.
机译：服务业发展如此之快，即个性化服务推荐的研究远远落后于此。由于提高客户体验和提高客户忠诚度的研究，电子商务企业可以优化其服务质量（QoS）。但是，在其他的基本问题等中，仍将待解决。一个关键问题是客户的个性化需求随着时间的推移而变化;提高客户体验的现有研究无法满足客户的动态需求。本文基于用户个性化偏好设计了个性化电子目录（PEC）的动态优化方法。并且随着用户偏好随时间的变化，PEC的本体优化了以下操作：添加和删除节点（分支机构）。改进的电子目录提供了对用户的需求和想要的更满意的智能服务，而不是前PEC ，它将完成企业相关产品的建议。本文可作为电子商务企业优化个性化服务标准的参考。

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