A comprehensive scoring method for e-commerce products based on multi-dimensional information fusion

A comprehensive scoring, multi-dimensional technology, applied in business, semantic analysis, electronic digital data processing, etc., to achieve the effect of fast and accurate performance

Active Publication Date: 2021-10-08
CHINA JILIANG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, the above-mentioned scholars’ analysis of commodities either only considers the structured data in the consumer feedback information, and calculates the value through the model of the structured data to measure the pros and cons of the commodity or the risk of commodity purchase.

Method used

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  • A comprehensive scoring method for e-commerce products based on multi-dimensional information fusion
  • A comprehensive scoring method for e-commerce products based on multi-dimensional information fusion
  • A comprehensive scoring method for e-commerce products based on multi-dimensional information fusion

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Embodiment Construction

[0012] In order to make the purpose, technical solution and advantages of the present invention clear, the specific implementation manners of the present invention will be clearly and completely described below.

[0013] Such as figure 1 As shown, it is a flow chart of a comprehensive scoring method for e-commerce products based on multi-dimensional information fusion in this specific embodiment.

[0014] The method includes: step S1 multi-dimensional information acquisition, first use a web crawler tool to crawl the store information, product sales information and product comment text information of related products, analyze the multi-dimensional information, and persist it into the database through programming; step S2 Data preprocessing uses JAVA language to write programs to perform operations such as deduplication, data conversion, and data reduction on structured data. At the same time, the NLPIR word segmentation tool of the Chinese Academy of Sciences is used to perfor...

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Abstract

The invention discloses a comprehensive scoring method for e-commerce products based on multi-dimensional information fusion, wherein the method includes: acquisition of multi-dimensional information of e-commerce products, mainly shop information, sales information and comment text information; data preprocessing, Data cleaning and data conversion are performed on numerical data, while word segmentation and part-of-speech tagging are performed on review texts; multi-dimensional information mining, through data induction and principal component regression analysis of store information and product sales information, store information index and product information are obtained. Sales index, sentiment analysis of comment text, product feature score radar chart obtained by quantification and clustering methods; product total score calculation, design fusion function and calculation of product total score. The method of the invention can be applied to a product recommendation system based on product information, and can identify high-quality products efficiently and simply, so that the designed recommendation system has faster and more accurate performance.

Description

technical field [0001] The invention relates to the fields of natural language processing and data mining, in particular to a commodity evaluation method based on multi-dimensional information. Background technique [0002] With the continuous improvement of Internet information technology and the rapid development of the e-commerce industry, the e-commerce platform has become an important channel for online shopping. But at the same time, consumers often face some difficulties when shopping online, such as counterfeit and shoddy products, false publicity, and difficulty in purchasing. Although many e-commerce platforms provide consumer feedback mechanisms, facing the accumulation of feedback information on the Internet, how to quickly and effectively identify valuable reference information from the vast amount of feedback information, and how to pass high-value reference information , It is a crucial issue to evaluate the pros and cons of products concisely and efficiently...

Claims

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Application Information

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Patent Type & AuthorityPatents(China)
IPC IPC(8): G06F40/216G06F40/30G06F16/35G06F17/18G06Q30/02
CPCG06F17/18G06Q30/0282G06F40/216G06F40/30
Inventor徐新胜余建浙
OwnerCHINA JILIANG UNIV