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Comment usefulness prediction method and system based on multi-modal information fusion

A useful, multimodal technology, applied in reasoning methods, neural learning methods, character and pattern recognition, etc., can solve the problems of inaccurate prediction results of comment usefulness, avoid non-voting bias and time bias, and predict results. Accurate and time-saving effect

Pending Publication Date: 2022-07-01
HEFEI UNIV OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] Aiming at the deficiencies of the prior art, the present invention provides a comment usefulness prediction method and system based on multi-modal information fusion, which solves the problem of inaccurate comment usefulness prediction results in the prior art

Method used

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  • Comment usefulness prediction method and system based on multi-modal information fusion
  • Comment usefulness prediction method and system based on multi-modal information fusion
  • Comment usefulness prediction method and system based on multi-modal information fusion

Examples

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Embodiment 1

[0058] In the first aspect, the present invention first proposes a review usefulness prediction method based on multimodal information fusion, see figure 1 , the method includes:

[0059] S1. Extracting key features affecting the usefulness of product reviews based on multimodal data of product usefulness reviews according to domain expert knowledge; obtaining review usefulness measurement results from a mixed perspective of domain knowledge based on the key features;

[0060] S2. Obtain the measurement results of product usefulness reviews from different single perspectives based on multimodal data of product usefulness reviews;

[0061] S3. Integrate the review usefulness measurement results from the mixed perspective of the domain knowledge and the different single-view product usefulness review measurement results to obtain a final evaluation result of the product usefulness review.

[0062] It can be seen that this embodiment obtains the review usefulness measurement res...

Embodiment 2

[0111] In a second aspect, the present invention also provides a review usefulness prediction system based on multimodal information fusion, the system comprising:

[0112] A review usefulness measurement result acquisition module from a mixed perspective is used to extract key features that affect the usefulness of product reviews based on multi-modal data of product usefulness reviews according to domain expert knowledge; based on the key features, the review usefulness of mixed perspectives of domain knowledge is obtained. measurement results;

[0113] A module for obtaining product usefulness review measurement results from a single perspective, which is used to obtain product usefulness review measurement results from different single perspectives based on product usefulness review multimodal data;

[0114] The module for obtaining the final evaluation result of the product usefulness review is used to fuse the review usefulness measurement result of the mixed perspective...

Embodiment 3

[0125] In a third aspect, the present invention also provides a computer-readable storage medium that stores a computer program for review usefulness prediction based on multimodal information fusion, wherein the computer program causes the computer to perform the following steps:

[0126] Extracting key features affecting the usefulness of product reviews based on multi-modal data of product usefulness reviews according to domain expert knowledge; obtaining review usefulness measurement results from a mixed perspective of domain knowledge based on the key features;

[0127] Obtaining the measurement results of product usefulness reviews from different single perspectives based on multimodal data of product usefulness reviews;

[0128] The review usefulness measurement results from the mixed perspective of the domain knowledge and the product usefulness review measurement results from different single perspectives are fused to obtain the final evaluation result of the product u...

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Abstract

The invention provides a comment usefulness prediction method and system based on multi-modal information fusion, and relates to the technical field of comment usefulness prediction. The method comprises the following steps: acquiring a comment usefulness measurement result of a domain knowledge mixed view angle and product usefulness comment measurement results of different single view angles based on product usefulness comment multi-modal data; and then the comment usefulness measurement result of the field knowledge mixed view angle and the product usefulness comment measurement results of different single view angles are fused, and a final evaluation result of the product usefulness comments is obtained. According to the method, the multi-modal product usefulness comment data is comprehensively considered, the product usefulness comment content is considered, meanwhile, the product usefulness initial voting behavior is also considered, complementarity between information is reasonably utilized, and the problem that in a traditional mode, a product online comment usefulness prediction result is inaccurate is solved.

Description

technical field [0001] The invention relates to the technical field of review usefulness prediction, in particular to a review usefulness prediction method and system based on multimodal information fusion. Background technique [0002] On the online shopping platform, a product will receive thousands, tens of thousands or even hundreds of thousands of reviews, and consumers can get a lot of information from these reviews to assist in making purchasing decisions. However, a large number of online product reviews not only brings about the problem of information overload, but also consumes consumers' time and energy for reading reviews because of the uneven quality of reviews. Therefore, shopping platforms urgently need a mechanism that can automatically filter out high-quality reviews, in order to quickly and accurately provide consumers with effective information and assist consumers in making purchasing decisions. [0003] At present, most shopping platforms adopt a useful...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/02G06V10/764G06V10/82G06K9/62G06N3/04G06N3/08G06N5/04G06F16/33G06F16/35
CPCG06Q30/0201G06N5/04G06F16/3344G06F16/35G06N3/08G06N3/048G06N3/044G06F18/241G06F18/259G06F18/25
Inventor 杨颖徐根成
Owner HEFEI UNIV OF TECH
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