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Design and Implementation of E-commerce Recommendation System Model Based on Cloud Computing

机译:基于云计算的电子商务推荐系统模型的设计与实现

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With the continuous expansion of the company’s scale, the original offline sales model can no longer meet the demand. In order to keep up with the current trend of Internet technology, companies need to develop their own e-commerce platform. With the rapid development of e-commerce, its information structure is becoming more and more complex, and the amount of information is becoming larger and larger. Users are often lost in massive commodity information, and merchants cannot establish effective customer relationships in massive user information. In order to improve the service level and market competitiveness of Internet commerce, many e-commerce websites begin to introduce data mining technology. According to users’ purchase records and historical browsing records, they can find the goods they like and recommend them to users. In order to manage massive commodity information and user information more efficiently, this paper proposes a solution to build e-commerce recommendation system on the cloud computing platform to improve the ability of massive data mining and business intelligence analysis, and realize high-performance computing at a lower cost.
机译:随着公司规模的不断扩展,原来的离线销售模式不再满足需求。为了跟上目前互联网技术的趋势,公司需要开发自己的电子商务平台。随着电子商务的快速发展,其信息结构变得越来越复杂,信息量变得越来越大。用户往往丢失了大规模的商品信息,商家不能在大规模用户信息中建立有效的客户关系。为了提高互联网商业的服务水平和市场竞争力,许多电子商务网站开始引入数据挖掘技术。根据用户的购买记录和历史浏览记录,他们可以找到他们喜欢的商品并推荐给用户。为了更有效地管理大规模的商品信息和用户信息,提出了一种解决云计算平台上的电子商务推荐系统的解决方案,以提高大规模数据挖掘和商业智能分析的能力,并实现高性能计算较低的成本。

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