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Garment matching recommendation method based on integration of face attribute analysis

A technology of attribute analysis and recommendation methods, applied in marketing, advertising, instruments, etc., to achieve the effect of improving shopping experience

Active Publication Date: 2018-09-28
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, in many cases, users may need a complete set of clothing matching consisting of multiple fashion items. Such a recommendation system will be more humanized and personalized.

Method used

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  • Garment matching recommendation method based on integration of face attribute analysis
  • Garment matching recommendation method based on integration of face attribute analysis
  • Garment matching recommendation method based on integration of face attribute analysis

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Embodiment Construction

[0030] The present invention will be further explained in conjunction with the following.

[0031] A clothing collocation recommendation method that integrates face attribute analysis, comprising the following steps:

[0032] Step 1: Learn a parametric model for calculating the matching degree between different commodities;

[0033] Step 2: According to the user's purchase records and browsing records, obtain the user's preferences for different product combinations;

[0034] Step 3: Extract the facial features according to the user's face picture, obtain the user's attribute features according to the extracted facial features, and then calculate the suitability between different attribute features and different commodities according to the learned parameterized model;

[0035] Step 4: Based on the analysis from Step 1 to Step 3, comprehensively recommend the complete outfit matching with the highest degree of matching with the user.

[0036] In this embodiment, a complete s...

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Abstract

The invention discloses a garment matching recommendation method based on the integration of face attribute analysis. According to the invention, the shopping records and the browsing records of a user are comprehensively analyzed. Meanwhile, pictures which are shared by the user on a social network, and the face attribute characteristics of the user are also comprehensively analyzed. After that,a whole set of garment matching is recommended to the user. Based on a parameterization model obtained through learning, the collocation degree between different garment products, and the matching degree between garments and face attributes are speculated. In this way, the matching of garments, high in fitness for the user, is recommended for the user. According to the invention, the tensor decomposition method is adopted for the interaction between users and commodities, between face attribute characteristics and commodities, and between different commodities. Moreover, the gradient decreasing method is adopted for solving the problem of the multi-modal characteristics of fashion commodities and learning a nonlinear function to map characteristic vectors from the feature space to the potential space.

Description

technical field [0001] The invention belongs to a clothing collocation recommendation method for online shopping. Background technique [0002] With the rise of online shopping, online shopping has become a popular shopping trend, especially online shopping for clothing is favored by more and more users, and effective fashion recommendation has become an increasingly important topic. On social networks, people share their lives and show their personal style, and these sharing shows users' fashion taste and personal hobbies. And with the rapid development of social networks, many large-scale online communities concerned with fashion have emerged, such as Instagram, polyvore and so on. People share almost everything about their daily lives online, including favorite music, movies, clothes, and more. Therefore, many shopping websites try to use this information to optimize the function of clothing recommendation. According to the user's shopping records, browsing records, and...

Claims

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Application Information

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IPC IPC(8): G06Q30/02G06F17/30
CPCG06Q30/0255G06Q30/0271
Inventor 张立言孙金梁栋
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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