E-commerce transaction method based on big data

Abstract

The invention discloses an e-commerce transaction method based on big data, and belongs to the technical field of e-commerce, and the transaction method comprises the following specific steps: (1) constructing a novel e-commerce transaction platform; (2) issuing demand information of a buyer; (3) performing big data product recommendation; (4) comparing and clearing products of the seller; (5) performing big data evaluation mining; (6) performing transaction payment. According to the novel e-commerce transaction platform with the buyer as the center, the buyer can obtain targeted seller product recommendation by issuing demand information on the platform, so that the buyer can buy favorite commodities with less time; in addition, the invention further provides a product evaluation knowledge graph; the product evaluation knowledge graph extracts high-quality product evaluation by removing duplicate words, stop words, pictorial words and mimicry words from comments, and therefore a buyer can comprehensively understand and cognize products of a seller.

Description

technical field [0001] The invention relates to the technical field of e-commerce, in particular to a big data-based e-commerce transaction method. Background technique [0002] After retrieval, Chinese Patent No. CN108229876A discloses a big data-based e-commerce transaction method and e-commerce transaction system. Although the inventive method can combine orders between consumers to improve the efficiency of logistics transportation, it cannot Reduce the cost of seller advertising and promotion, and cannot increase the transaction speed of products, and cannot provide comprehensive product information evaluation; big data refers to the extremely large amount of data, and traditional data collection methods, traditional databases, and traditional research cannot be used Big data technology refers to the technology of extracting the value of big data, based on specific goals, through data collection, storage, screening, algorithm analysis and prediction, data analysis resul...

AI Technical Summary

Problems solved by technology

[0002] After retrieval, Chinese Patent No. CN108229876A discloses a big data-based e-commerce transaction method and e-commerce transaction system. Although the inventive method can combine orders between consumers to improve the efficiency of logistics transportation, it cannot Reduce the cost of seller advertising and promotion, and cannot increase the transaction speed of products, and cannot provide comprehensive product information evaluation; big data refers to the extremely large amount of data, and traditional data collection methods, traditional databases, and traditional research cannot be used Big data technology refers to the technology of extracting the value of big data, based on specific goals, through data collection, storage, screening, algorithm analysis and prediction, data analysis results display, etc. A technology that provides a scientific basis for final decision-making; big data technology originated from traditional data mining and business intelligence technology, and is an important product of the rapid development of information technology. At present, it mainly covers cloud computing, data acquisition, file system, database system, data Analysis and data visualization and other important technologies; with the continuous development of e-commerce, the amount of transaction data is also changing exponentially, how to integrate it with big data to solve practical transaction problems has become an urgent problem to be solved; therefore , it is particularly important to invent a method of e-commerce transactions based on big data;

[0003] The existing e-commerce transaction method is a kind of sales method of waiting on the sidelines. The seller can only wait passively. He does not know where the customers are, how many they have, and what they want to buy. In order to promote sales, the seller usually conducts advertising to increase the sales volume. This will undoubtedly increase the seller's sales cost; moreover, this type of transaction method will also easily increase the time for the buyer to select goods, so it cannot improve the transaction speed of the product; Understand product reviews; for this, we propose a big data-based approach to e-commerce transactions

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