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Clothing suit recommendation system and method

A recommendation system and packaged technology, applied in biological neural network models, commerce, sales/lease transactions, etc., can solve problems such as irrelevant keyword interference, small data volume probability models, complex algorithms, etc., to improve timeliness and improve overall speed effect

Pending Publication Date: 2021-06-25
WUHAN TEXTILE UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The Chinese patent with the publication number CN111815351A "A Clothing Recommendation Method Based on Collaborative Filtering and Association Rules" collects clothing data, labels, purchase records and other information, calculates the historical shopping preferences of members within the target time through a collaborative filtering algorithm, and trains Corresponding shopping probability prediction model, so as to give a recommendation ranking result of shopping probability; this method has the problem that it can only be recommended based on purchase records, and the data used for calculation is very limited, and it is designed with a small amount of data Probabilistic model, so the recommendation accuracy is not high
The Chinese patent "A Method and Apparatus for Recommending Clothing Products" with application number 2CN201210254720.1 queries the pre-established correspondence between the user ID and the attribute value of the first attribute of the clothing product according to the user ID, and obtains the operation The attribute value corresponding to the user ID carried in the request, but it uses attribute keywords to recommend clothing, which is prone to interference from irrelevant keywords, and the algorithm is relatively complicated

Method used

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  • Clothing suit recommendation system and method

Examples

Experimental program
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Effect test

Embodiment 1

[0033] A clothing set recommendation system, including an image acquisition unit, an image processing unit, a feature extraction unit and a clothing recommendation unit;

[0034] The image collection unit is used to collect enough clothing suit images and their related text descriptions;

[0035] The image processing unit is used to store images, texts and their feature vectors in the clothing suits in a database;

[0036] The feature extraction unit is used to preprocess the suit images and texts of a large number of clothing collected and perform feature extraction and fusion one by one to generate a matching score for clothing;

[0037] The clothing recommendation unit is used to calculate the similarity between the extracted image features and the pre-stored features in the database, and recommend the most similar clothing.

[0038] In a preferred solution, the suit image of the clothing includes hats, sunglasses, scarves, tops, bottoms and shoes; the text descriptions ar...

Embodiment 2

[0047] A method for adopting the above-mentioned clothing set recommendation system, the steps are as follows:

[0048] S1: Extract the features of the image of each item in the suit, and extract the feature vector of m×n×h;

[0049] S2: Extract keyword features from the text description of the corresponding item, and also extract the feature vector of m×n×h;

[0050]S3: Add the feature vectors of the image and text, and perform deeper feature fusion extraction through the deep convolutional layer; the deep convolutional layer refers to the downsampling convolutional network with more than 13 layers, such as VGG19 network, ResNet50 network. The deeper convolution refers to a series of common convolutional layers or residual layers with the same length and width dimensions followed by the downsampling convolutional network, such as the middle layer feature fusion network in networks such as pix2pixHD.

[0051] S4: Use the activation function of the two classifications to acti...

Embodiment 3

[0058] refer to figure 1 As shown, it is a schematic diagram of an embodiment of the novel clothing set recommendation system provided by the present invention. The clothing set recommendation system provided by the embodiment includes an auxiliary detection unit, an image acquisition unit, an image processing unit, and an image display unit;

[0059] Wherein, the image collection unit is used to collect a large number of clothing suit images including hats, sunglasses, scarves, tops, bottoms and shoes, and their related text descriptions such as "black men's peaked cap". Among them, the network "crawler" software is used to collect the package images and its descriptions in the mall, and the camera is used to shoot them offline, and the descriptions are marked manually and scored;

[0060] The image processing unit is used to store the images and texts in the database one by one, and use the trained clothing matching network to or take the 1×n (n=1024) dimensional feature ve...

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Abstract

The invention belongs to the technical field of intelligent clothing, and discloses a clothing suit recommendation system and method, and the system comprises an image acquisition unit, an image processing unit, a feature extraction unit, and a clothing recommendation unit. The image acquisition unit is used for acquiring suit images of enough clothes and related text descriptions of the suit images; the image processing unit is used for storing images, texts and feature vectors of the images and the texts in the suit-by-suit clothes in a database; the feature extraction unit is used for preprocessing collected suit images and texts of a large number of clothes, performing feature extraction and fusion on the suit images and texts one by one and generating matching scores of the clothes; and the clothing recommendation unit is used for performing similarity calculation on the extracted image features and features pre-stored in a database, and recommending the most similar clothing. The clothing suit and the description text of the clothing suit are processed by using the convolutional neural network and natural language processing, so that the overall speed of algorithm processing is greatly improved, and the timeliness of the system is improved.

Description

technical field [0001] The invention belongs to the technical field of smart clothing, and more specifically, relates to a novel clothing suit recommendation system and method. Background technique [0002] At present, when shopping online, it is usually difficult to start with a wide range of products. Customers generally have one or several suits that they like very much, but there are very limited scenarios where any combination of them will produce very good results. , People generally have the need to have jackets and trousers to match suitable scarves and hats, but the current method of similar matching through purchase records is not accurate and representative, and it is also very limited in matching existing clothing. [0003] The Chinese patent with the publication number CN111815351A "A Clothing Recommendation Method Based on Collaborative Filtering and Association Rules" collects clothing data, labels, purchase records and other information, calculates the histor...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/06G06N3/04
CPCG06Q30/0621G06Q30/0631G06N3/045
Inventor 余锋杜成虎姜明华周昌龙
Owner WUHAN TEXTILE UNIV
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