Multidimensional information fusion-based comprehensive e-commerce product scoring method

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

Active Publication Date: 2018-09-04
CHINA JILIANG UNIV
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  • 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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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 multidimensional information fusion-based comprehensive e-commerce product scoring method. The method comprises the following steps of: obtaining multidimensional informationsuch as shop information, sales volume information and comment text information of e-commerce products; data preprocessing: carrying out data cleaning and data conversion on numerical type data, andcarrying out word segmentation and part-of-speech tagging on comment texts; mining the multidimensional information: carrying out data reduction and principal component regression analysis on the shopinformation and the commodity sales volume information to obtain shop information indexes and commodity sales volume indexes, carrying out emotion analysis on the comment texts, and obtaining a product feature score radar map through a quantification method and a clustering method; and commodity total score calculation: designing a fusion function and calculating a commodity total score. The method can be applied to commodity information-based commodity recommendation systems, is capable of efficiently and conveniently recognizing high-quality commodities so as to ensure that the designed recommendation systems are more rapid and correct.

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 & Authority Applications(China)
IPC IPC(8): G06F17/27G06F17/30G06F17/18G06Q30/02
CPCG06F17/18G06Q30/0282G06F40/216G06F40/30
Inventor 徐新胜余建浙
Owner CHINA JILIANG UNIV
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