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Commodity recommendation method and system based on multimodal commodity review analysis

A product review and product recommendation technology, applied in the field of product recommendation methods and systems based on multi-modal product review analysis, can solve difficult problems such as user intentions, and achieve good results and accurate reports

Active Publication Date: 2021-10-01
SHANDONG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Because most of the previous research is based on text, but text-based comment analysis is difficult to truly understand the user's intentions, and cannot give the merchant a correct comment analysis report

Method used

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  • Commodity recommendation method and system based on multimodal commodity review analysis
  • Commodity recommendation method and system based on multimodal commodity review analysis
  • Commodity recommendation method and system based on multimodal commodity review analysis

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0039] Embodiment 1, this embodiment provides a product recommendation method based on multi-modal product review analysis;

[0040] Such as figure 1 As shown, the product recommendation method based on multi-modal product review analysis includes:

[0041] S1: Obtain the review information of a product;

[0042] S2: Perform data preprocessing on the obtained product review information;

[0043] S3: Determine whether there is an image in the comment information, and if there is an image, extract the emotional label of the image from the image;

[0044] Determine whether there is a video in the comment information, if there is a video, extract the audio from the video, and convert the audio to text; if there is no video, go to the next step;

[0045] Determine whether there is audio in the comment information, if there is audio, convert the audio to text; if there is no audio, go to the next step;

[0046] Determine whether there is text in the comment information, if there...

Embodiment 2

[0086] Embodiment 2, this embodiment provides a product recommendation system based on multi-modal product review analysis;

[0087] Product recommendation system based on multi-modal product review analysis, including:

[0088] An acquisition module configured to: acquire review information of a product;

[0089] A preprocessing module, which is configured to: perform data preprocessing on the obtained comment information of the commodity;

[0090] Judgment module, which is configured to: judge whether there is an image in the comment information, and if there is an image, extract the emotional label of the image from the image;

[0091] Determine whether there is a video in the comment information, if there is a video, extract the audio from the video, and convert the audio to text; if there is no video, go to the next step;

[0092] Determine whether there is audio in the comment information, if there is audio, convert the audio to text; if there is no audio, go to the ne...

Embodiment 3

[0096] Embodiment 3. This embodiment also provides an electronic device, including a memory, a processor, and computer instructions stored in the memory and run on the processor. When the computer instructions are executed by the processor, the computer instructions in Embodiment 1 are completed. steps of the method described above.

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Abstract

The present disclosure discloses a product recommendation method and system based on multimodal product review analysis, including: obtaining review information of a product; performing data preprocessing on the obtained review information of a product; judging whether there is an image in the review information, and if there is an image , then extract the emotional label of the image from the image; judge whether there is a video in the comment information, if there is a video, extract the audio from the video, and convert the audio into text; judge whether there is audio in the comment information, if there is audio, then Convert the audio to text; judge whether there is text in the comment information, and if there is text, integrate the text in the comment information with the converted text to obtain the integrated text; extract the emotional label of the text from the integrated text ; Input the emotional label of the image and the emotional label of the text into the pre-trained neural network, and output the recommended label of the current product.

Description

technical field [0001] The present disclosure relates to the technical field of product recommendation, in particular to a product recommendation method and system based on multimodal product review analysis. Background technique [0002] The statements in this section merely mention background art related to the present disclosure and do not necessarily constitute prior art. [0003] In daily life, human beings can capture each other's emotional changes by listening to language and observing facial expressions and gestures, recognize emotional state information, and then communicate emotionally. And if you want machines to be able to perceive and understand emotions like humans, then you must allow machines to simulate human abilities in this regard, and then allow machines to capture multi-modal emotional characteristics, process them, and finally express The ability to respond to human emotions. [0004] In real life, our text or language is only a part of the comprehen...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q30/06G06N3/08G06N3/04
CPCG06Q30/0631G06N3/08G06N3/045
Inventor 崔立真姜涛鹿旭东郭伟
Owner SHANDONG UNIV
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