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Online comment validity recommendation method based on big data platform

A technology of big data platform and recommendation method, which is applied in the field of online review effectiveness recommendation, can solve the problem of review information "information overload" and achieve the effect of simple method

Inactive Publication Date: 2021-05-14
李海涛
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Faced with the dazzling array of products on the existing e-commerce websites, countless users have published countless comments on their own feelings, resulting in "information overload" of comment information

Method used

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  • Online comment validity recommendation method based on big data platform
  • Online comment validity recommendation method based on big data platform
  • Online comment validity recommendation method based on big data platform

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0022] Embodiment 1, this embodiment provides a method for recommending the effectiveness of online reviews based on a big data platform,

[0023] First of all, the corresponding keywords are extracted according to the questions asked by consumers of similar products. In the existing e-commerce websites, in order to reduce unnecessary disputes, the e-commerce websites have added the function of customers asking questions about the products. Through Customer service or consumers answer questions to achieve the purpose of reducing consumers' viewing of reviews. Considering issues such as brand issues or prices, which are unique to the product, these unique issues may not be important in some consumer reviews These problems may have different meanings to other consumers. For this reason, extracting keywords of all problems of similar products can not only display the products in a more comprehensive way, but also help consumers learn from consumers. Learn about this type of produ...

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Abstract

The invention belongs to the technical field of electronic commerce application, and relates to an online comment validity recommendation method based on a big data platform. The method includes the steps of extracting corresponding keywords according to questions of consumers for similar products in the similar products; making a comment set of a commodity according to all comments of the extracted keywords on a certain commodity according to the keywords; carrying out assignment on the comment issuing time, wherein the comment issuing time is 1 within three days, the comment issuing time is 0.9 within one week, the comment issuing time is 0.8 within two weeks, the comment issuing time is 0.7 within three weeks, the comment issuing time is 0.6 within one month, the comment issuing time is 0.5 within three months, the comment issuing time is 0.3 within half a year, and the comment issuing time is 0.1 within one year; according to a formula, Cg is a recommendation value of a certain comment of the commodity, T is a time assignment for issuing the comment, k is all keywords contained in the comment, TC is the total number of comments of the commodity, and KCi is the number of comments of a certain keyword; and finally, conducting recommendation according to the calculated recommendation values in a descending order.

Description

technical field [0001] The invention belongs to the technical field of e-commerce applications, in particular to a method for recommending the effectiveness of online reviews based on a big data platform. Background technique [0002] With the rapid development of society and economy, especially the unprecedented prosperity of Internet technology, people's lifestyles have also changed, and more and more consumers tend to shop online. E-commerce sites such as Taobao, JD.com, Pinduoduo, and Amazon are expanding rapidly, and the number of products and user scale are showing explosive growth. At the same time, with the rapid development of the Internet and information technology, the original enterprise-centered e-commerce model has been transformed into a consumer-centered social e-commerce model. Consumers no longer passively receive product information released by enterprises. They can also actively disseminate information. The world has entered the era of big data, and data...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/06G06Q10/06G06F16/9535G06F16/9536
CPCG06Q10/06393G06Q30/0627G06Q30/0629G06Q30/0631G06F16/9535G06F16/9536
Inventor 李海涛
Owner 李海涛