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Customized products and cloud service information system development research

机译:定制产品和云服务信息系统开发研究

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This study presents a cloud service customized product information system to enable businesses to provide customized product marketing on the Internet to meet consumer demand for customized products. The cloud service of the information system development strategic framework proposed in this study contains three elements: (1) e-commerce services, (2) promotion type modules, and (3) cloud services customized promotional products. In this study, a mining cloud information system to detect customer behavior is proposed. The association rules from relational database design are utilized to mine consumer behavior to generate cross-selling proposals for customer products and marketing for a retailing mall in Taiwan. The study is composed of several parts, as follows. A market segment and application of association rules in data exploration techniques (Association Rule Mining) and sequence-like exploration (Sequential Pattern Mining), efficient analysis of customers, consumer behavior, identification of candidates for promotional products, and using cloud service delivery and evaluation of targets to evaluate candidates for promotional products for production. However, in addition to cloud service customized promotional products, the quantity of promotional products sales varies for different customers. We strive to achieve increased customer loyalty and profits through the use of active cloud service customized promotional products.
机译:本研究提出了云服务定制产品信息系统,以使企业能够在互联网上提供定制的产品营销,以满足消费者对定制产品的需求。本研究中提出的信息系统开发战略框架的云服务包含三个要素:(1)电子商务服务,(2)促销型模块,(3)云服务定制促销产品。在本研究中,提出了一种挖掘云信息系统来检测客户行为。来自关系数据库设计的关联规则用于挖掘消费者行为,为台湾零售商场提供跨销售提案。该研究由几个部分组成,如下所示。数据探索技术(关联规则挖掘)和序列勘探(顺序模式采矿),客户,消费者行为,促销产品的识别,以及使用云服务交付和评估的识别候选者的高效分析评估促销产品候选人的目标。但是,除了云服务定制促销产品之外,促销产品的数量销售的数量因不同的客户而异。我们努力通过使用主动云服务定制促销产品来实现客户忠诚度和利润。

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