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Big data recommand system and method for suggesting the optimum goods

机译:大数据建议系统和建议最佳商品的方法

摘要

The present invention relates to a system and a method for recommending big data for an optimized product suggestion according to personal preference. More specifically, the present invention relates to a big data recommending system for an optimized product suggestion according to personal preference, comprising: a raw database which stores image data for each product; a data processing unit which processes the image data stored in the raw database and converts the same into meta data; a meta database which stores the data which is converted into meta data; a customer information providing unit which provides input data on taste information of a customer; and a search engine which on the basis of the input data on taste information, searches data stored in the meta database and recommends customized products for the customer.
机译:本发明涉及一种用于根据个人喜好推荐用于优化产品建议的大数据的系统和方法。更具体地,本发明涉及一种用于根据个人喜好优化产品建议的大数据推荐系统,该系统包括:存储每个产品的图像数据的原始数据库;数据处理单元处理存储在原始数据库中的图像数据并将其转换为元数据;一个元数据库,存储被转换为元数据的数据;顾客信息提供单元,其提供关于顾客的品味信息的输入数据;一个搜索引擎,其基于关于口味信息的输入数据,搜索存储在元数据库中的数据,并为客户推荐定制产品。

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