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A Reliability Index of E-Commerce Products Based on Subjective Emotion Measurement and Its Implementation Method

Active Publication Date: 2021-11-23
BEIHANG UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, users' reliance on ratings has led to many unscrupulous merchants creating a large number of false positive reviews and inflating the number of transactions, resulting in consumers actually buying products that are far less good than reflected in the platform's reviews and sales data

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  • A Reliability Index of E-Commerce Products Based on Subjective Emotion Measurement and Its Implementation Method
  • A Reliability Index of E-Commerce Products Based on Subjective Emotion Measurement and Its Implementation Method
  • A Reliability Index of E-Commerce Products Based on Subjective Emotion Measurement and Its Implementation Method

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Embodiment Construction

[0049] In order to make the technical problems and technical solutions to be solved by the present invention clearer, the following will describe in detail in conjunction with the accompanying drawings and specific implementation cases.

[0050] The purpose of the present invention is to overcome the deficiencies of existing product reliability indicators in terms of extensibility, authenticity and comment reliability, and provide an e-commerce product reliability indicator based on subjective emotion measurement. In the present invention, based on the probability measurement of product reliability, a calculation method for the emotional value of product reviews on the e-commerce platform is constructed, and the probability of validity of each review is calculated by combining the relevant information of the reviews, and the reliability index is finally obtained by weighting the emotional value and the effective value .

[0051] The present invention is based on subjective emo...

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Abstract

The present invention provides an e-commerce product reliability index based on subjective emotion measurement and its implementation method. The steps are as follows: 1. Crawl the content of product reviews on the network platform, review date, and buyer credit points; 2. Crawl the data Calculate the emotional value of the comment content data, that is, judge the positive and negative probability of a comment based on the words used, and take the positive probability as the emotional value; 3. Combining other crawled data to calculate the weight of a comment, the judgment is valid Probability; 4. Combining steps 2 and 3, calculate the weighted average of the sentiment value of the comments to obtain the final reliability evaluation index of the product. The present invention starts from the data such as product evaluation content, user level, and transaction time of the e-commerce platform, and processes the data through a neural network, thereby effectively quantifying and evaluating the reliability of e-commerce products.

Description

technical field [0001] The present invention proposes a reliability index of e-commerce products based on subjective emotion measurement and its implementation method, which relates to a reliability index of e-commerce products based on subjective emotion measurement and its implementation method, belonging to reliability, computer science and e-commerce cross-technical fields. Background technique [0002] E-commerce has become an indispensable part of modern urban life, and it also plays a decisive role in the current development model of "Internet + B2B" and "Internet + B2C". However, when a wide variety of products appear on consumers' electronic screens, it becomes increasingly difficult for consumers to distinguish the authenticity and reliability of products, and the possibility of purchasing fake or imitation products gradually increases. [0003] Due to the variety of products and fast transactions of online e-commerce, coupled with the different sources of merchan...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q30/06
CPCG06Q30/0627
Inventor 谢冠旭张欣予李大庆
Owner BEIHANG UNIV