IMAGE QUALITY ASSESSMENT TO MERCHANDISE AN ITEM
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Abstract
Image-based features may be significantly correlated with click-through rates of images that depict a product, which may provide a more formal basis for the informal notion that good quality images will result in better click-through rates, as compared to poor quality images. Accordingly, an image assessment machine is configured to analyze image-based features to improve click-through rates for shopping search applications (e.g., a product search engine). Moreover, the image assessment machine may rank search results based on image quality factors and may notify sellers about low quality images. This may have the effect of improving the brand value for an online shopping website and accordingly have a positive long-term impact on the online shopping website.
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Citations
21 Claims
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1. (canceled)
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2. A system comprising:
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a processor; and a memory storing instructions that, when executed by the processor, causes the processor to perform operations comprising; accessing a first image and a second image, the first and second images each having a common plurality of visual characteristics, the first image being included in a first candidate search result among a plurality of candidate search results, the second image being included in a second candidate search result among the plurality of candidate search results; calculating a first score that quantifies a visual characteristic among the common plurality of visual characteristics of the first image, the calculating of the first score being based on a first analysis of first image data included in the first image; calculating a second score that quantifies the visual characteristic among the common plurality of visual characteristics of the second image, the calculating of the second score being based on a second analysis of second image data included in the second image; receiving a search query at a user interface, ranking the first and second candidate search results based on the first score and the second score in response to the search query, the first and second candidate search results being selected as retrieved search results of the received search query; and providing a plurality of retrieved search results according to the rank. - View Dependent Claims (3, 4, 5, 6, 7, 8, 9, 10, 11, 12)
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13. A method comprising:
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accessing a first image and a second image, the first and second images each having a common plurality of visual characteristics, the first image being included in a first candidate search result among a plurality of candidate search results, the second image being included in a second candidate search result among the plurality of candidate search results; calculating a first score that quantifies a visual characteristic among the common plurality of visual characteristics of the first image, the calculating of the first score being based on a first analysis of first image data included in the first image; calculating a second score that quantifies the visual characteristic among the common plurality of visual characteristics of the second image, the calculating of the second score being based on a second analysis of second image data included in the second image; receiving a search query at a user interface; ranking the first and second candidate search results based on the first score and the second score in response to the search query, the first and second candidate search results being selected as retrieved search results of the received search query, the ranking the first and second candidate search results being performed by a processor of a machine; and providing a plurality of retrieved search results according to the rank. - View Dependent Claims (14, 15, 16, 17, 18, 19)
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20. A non-transitory machine-readable storage medium comprising instructions that, when executed by one or more processors of a machine, cause the machine to perform operations comprising:
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accessing a first image and a second image, the first and second images each having a common plurality of visual characteristics, the first image being included in a first candidate search result among a plurality of candidate search results, the second image being included in a second candidate search result among the plurality of candidate search results; calculating a first score that quantifies a visual characteristic among the common plurality of visual characteristics of the first image, the calculating of the first score being based on a first analysis of first image data included in the first image; calculating a second score that quantifies the visual characteristic among the common plurality of visual characteristics of the second image, the calculating of the second score being based on a second analysis of second image data included in the second image; receiving a search query at a user interface; ranking the first and second candidate search results based on the first score and the second score in response to the search query, the first and second candidate search results being selected as retrieved search results of the received search query; and providing a plurality of retrieved search results according to the rank. - View Dependent Claims (21)
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Specification