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

CN104881798AInactive Publication Date: 2015-09-02BEIJING JINGDONG SHANGKE INFORMATION TECH CO LTD +1

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Patent Information

Authority / Receiving Office: CN · China
Patent Type: Applications(China)
Current Assignee / Owner: BEIJING JINGDONG SHANGKE INFORMATION TECH CO LTD
Publication Date: 2015-09-02
Estimated Expiration: Not applicable · inactive patent

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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.

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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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