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首页> 外文会议>International Conference on Strategies, Models and Technologies of Economic Systems Management >Model for Consumers Priorities Detection in E-trade Based on Classifying a Client's Personal and Consumer Profile
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Model for Consumers Priorities Detection in E-trade Based on Classifying a Client's Personal and Consumer Profile

机译：消费者优先考察的模型，电子贸易中的贸易基于分类客户的个人和消费者个人资料

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摘要

In this work we present the developed model for consumers priorities detection in e-trade based on classifying a client's personal and consumer profile. The presented model allows to improve the business process of choosing a rational set of goods and services depending on customer characteristics, to ensure the rationality and timeliness of receipt of goods and services on the e-trade market and ensure their diversification and differentiation. A rational set of information parameters about clients and their activity on the e-trade market has been proposed. The process of collecting, preparing and analyzing information about market clients for its subsequent clustering and classification has been described. The sources of information and connection between the selected consumers characteristics have been revealed (consumers characteristics of the e-trade market have been illustrated). The notion of a consumer profile in the e-trade market and client profile as a descriptive element of an element in the middle of the client cluster have been described. If the consumer profile and a set of personality characteristics of the cluster kernel or its element change, the set of goods and services changes accordingly. Taken together, they reflect the integral model of a typical e-trade client and can be used to identify and analyze customer priorities.
机译：在这项工作中，我们向消费者优先考察的开发模型基于分类客户的个人和消费者的个人资料。本型号允许改善根据客户特征选择合理商品和服务的业务流程，以确保在电子贸易市场上收到商品和服务的合理性和及时性，并确保其多样化和分化。提出了关于客户的理性信息参数和他们在电子贸易市场上的活动。已经描述了收集，准备和分析市场客户的后续聚类和分类信息的过程。已经揭示了所选消费者特征之间的信息和联系来源（已说明电子贸易市场的消费者特征）。已经描述了电子贸易市场和客户配置文件中的消费者配置文件的概念作为客户群中间的元素的描述性元素。如果消费者简介和集群内核的一组个性特征或其元素的变化，则该组商品和服务相应地改变了。他们一起参加，它们反映了典型的电子交易客户的积分模型，可用于识别和分析客户优先事项。

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