A commodity image evaluation method and device, a computing device and a readable storage medium
By classifying product images based on click-through rate and using an image comparison model to evaluate them, the problem of subjective evaluation in existing technologies is solved, and a more accurate assessment of product image quality is achieved.
CN113362268BActive Publication Date: 2026-07-17ALIBABA GROUP HOLDING LTD
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- ALIBABA GROUP HOLDING LTD
- Filing Date
- 2020-03-04
- Publication Date
- 2026-07-17
AI Technical Summary
Technical Problem
Existing technologies for evaluating product images lack objectivity, relying primarily on aesthetic assessments which fail to accurately reflect product appeal and are not objective enough.
Method used
By identifying product categories, dividing quality levels based on click-through rates, obtaining reference images, and using image comparison models for evaluation, combined with Siamese neural networks and feature joint models for comparison, the objectivity and accuracy of the evaluation are improved.
Benefits of technology
It enables objective product image evaluation based on click-through rate, avoiding interference from inherent image features across different categories and improving the accuracy and consistency of the evaluation.
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Figure CN113362268B_ABST
Abstract
The application discloses a commodity image evaluation method, comprising: determining a commodity category to which a target commodity image belongs; obtaining a reference image corresponding to the commodity category based on a click rate; comparing the target commodity image with the reference image by using an image comparison model; and determining an evaluation of the target commodity image based on a comparison result. The application also discloses a corresponding commodity image evaluation device, a computing device and a readable storage medium.
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