Device and method for personalized search based on commodity image features

A technology of commodity images and images, applied in special data processing applications, complex mathematical operations, biological neural network models, etc., to achieve the effect of increasing experience value

Inactive Publication Date: 2015-09-02
BEIJING JINGDONG SHANGKE INFORMATION TECH CO LTD +1
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In the existing searches, there are few personalized searches based on the behavior of users browsing product images

Method used

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  • Device and method for personalized search based on commodity image features
  • Device and method for personalized search based on commodity image features
  • Device and method for personalized search based on commodity image features

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Embodiment Construction

[0020] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be described in further detail below in conjunction with specific embodiments and with reference to the accompanying drawings.

[0021] The present invention mainly uses the neural network to extract the abstract semantic feature vector of the image, calculates the mean value and variance of the feature vector of all images under the category in each dimension, and according to the image browsed by each user, each browsing behavior is extracted according to the The eigenvectors are normalized and summed to obtain the interest weight of the user, and then use the interest weight to do the inner product of the eigenvectors of each image under the category to obtain the score value of the image, and then sort the results with for personalized search.

[0022] figure 1 It is a block diagram showing the personalized search device 1 based on the feature...

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Abstract

The invention discloses a device and a method for personalized search based on commodity image features. The device comprises a feature extraction module, a category image calculation module, a user browsing behavior weight calculation module, a ranking module and a search calling module, wherein the feature extraction module extracts abstract semantic feature vectors of images by using a neural network model; as for the abstract semantic feature vectors of each dimension, the category image calculation module calculates the mean and the variance at the dimension and carries out normalization processing according to each dimension; the user browsing behavior weight calculation module extracts the corresponding normalized abstract semantic feature vectors of images browsed by a user according to categories and carries out summation, thereby acquiring an interest weight vector of the user at each category; the ranking module carries out inner product on corresponding feature vectors of images which are not viewed by the user at a certain category according to the interest weight vector of the user at the category, acquires a score value corresponding to each image, ranks according to the score values, selects a specified number of images whose score values are high and puts the images into storage; and the search calling module carries out personalized search according to a ranking value result.

Description

technical field [0001] The invention relates to a personalized search device and method based on commodity image features in the field of electronic commerce. Background technique [0002] Existing personalized search generally first extracts features of users, products, and scenes such as semantics, statistics, and text, and then obtains the final results based on various search and sorting algorithms. In the existing searches, there are few personalized searches based on the behavior of users browsing product images. Contents of the invention [0003] The present invention provides a personalized search device and method based on commodity image features. According to commodity images in the field of e-commerce, neural networks are used to extract deep abstract semantic feature vectors of commodity images, and users' browsing behaviors are classified according to categories. , according to the extracted deep abstract semantic feature vector, calculate the interest weigh...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/02G06F17/30G06V10/50G06V10/771
CPCG06N3/02G06V20/30G06V10/50G06V20/70G06V10/771G06F18/2113G06F16/00G06F16/5838G06F17/11G06N3/04
Inventor 布如国牟川
Owner BEIJING JINGDONG SHANGKE INFORMATION TECH CO LTD
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