CN115049426A - Artificial intelligence algorithm model for personalized skin care recommendation - Google Patents

Abstract

The invention relates to the technical field of artificial intelligence, and discloses an artificial intelligence algorithm model for personalized skin care recommendation, which comprises an original information acquisition and receiving system, a skin quality analysis model, a data training and generating model and an application terminal, wherein: the system comprises an original information acquisition and receiving system, a skin analysis model, a data training generation model and an application terminal which are sequentially connected; the original information acquisition and receiving system is used for acquiring and receiving the photographing information uploaded by the user application terminal; the skin analysis model is based on an AI algorithm and is used for acquiring user information from the original information acquisition and receiving system and calculating data; the artificial intelligence algorithm model is applied to products, the butt joint of the artificial intelligence application products and the skin data of the users can be realized, the skin distribution is calculated for each user through the model, the effect skin care product combination is matched with the skin state of the users through the model, the personalized recommendation is realized, the economic benefit can be realized, and the high-quality transformation and upgrading of the skin care industry of China is promoted.

Description

An artificial intelligence algorithm model for personalized skin care recommendation

technical field

The invention relates to the technical field of artificial intelligence, in particular to an artificial intelligence algorithm model for personalized skin care recommendation.

Background technique

With the development of artificial intelligence technology, artificial intelligence technology has been incorporated into my country's national planning, and strive to make it an important driving force for a new round of technological and industrial transformation. The penetration of artificial intelligence technology has also begun to appear in the field of skin management. Social development strongly requires artificial intelligence to analyze the skin types of different users and match them with products with different efficacy, so as to improve the production and consumption circulation efficiency and social value of the skin care industry.

Because different companies' products target different fields, the data required are also different. However, users themselves usually lack the objective cognition ability of their own skin-related information, and cannot fully grasp the applicable information of different types of skin care products in a timely manner. The current problems are:

Each artificial intelligence product needs to collect multiple skin indicators according to its own needs. The measurement of each indicator lacks objective standards, and the test results are objectively weak.

Each artificial intelligence product matches the included efficacy products, but lacks understanding of third-party products, and has poor matching ability when recommending to users. It is difficult for users to effectively choose between multiple matching results. In actual use, the user's use and selection process is very cumbersome and inefficient, which will also hinder the promotion of artificial intelligence in the field of skin care, and also restrict the high-quality development of China's efficacy skin care products industry.

SUMMARY OF THE INVENTION

(1) Technical problems solved

In view of the deficiencies of the prior art, the present invention provides an artificial intelligence algorithm model for personalized skin care recommendation, which solves the problems raised in the above background art.

(2) Technical solutions

In order to achieve the above purpose, the present invention provides the following technical solutions: an artificial intelligence algorithm model for personalized skin care recommendation, including an original information collection and reception system, a skin quality analysis model, a data training generation model and an application terminal, wherein:

The original information collection and reception system, the skin quality analysis model, the data training generation model and the application terminal are sequentially connected;

The original information collection and reception system is used to collect and receive the photographing information uploaded from the user application terminal;

The skin quality analysis model is based on the AI algorithm, which is used to obtain user information from the original information collection and reception system and calculate the data, classify and calculate multiple indicators of skin quality, build a matrix model of efficacy skin care products, and generate data for each user through data training. The model calculates the distribution of skin quality, matches the combination of effective skin care products with the user's skin state, and generates skin test reports and product recommendation conclusions;

The AI skin testing algorithm sends the skin testing report and product recommendation conclusion back to the user's application terminal, and recommends it to the user individually.

Preferably, the information obtained by the user includes image information and structured text information.

Preferably, the analysis results in the skin quality analysis model include image AI analysis results and indexed evaluation results.

Preferably, the application terminal is a mobile phone or a tablet, and the application terminal takes a photo and collects an image of the user's face.

(3) Beneficial effects

The invention provides an artificial intelligence algorithm model for personalized skin care recommendation, which has the following beneficial effects:

(1) The artificial intelligence algorithm model of the present invention is applied to the product, which can realize the connection between artificial intelligence application products and user skin data, calculate the skin quality distribution through the model for each user, and model the combination of efficacy skin care products and the user's skin state. Matching, personalized recommendation can be achieved, economic benefits can be realized, and the high-quality transformation and upgrading of my country's skin care industry can be promoted; the invention can provide users with a complete skin data calculation result analysis and a distributed recommendation technology with corresponding efficacy skin care products, helping users objectively , Systematically obtain suitable skin conditions, reduce the difficulty for users to identify and purchase products, save users' time, improve the efficiency of scientific skin care consumption, and enhance the international competitiveness of my country's skin care industry.

Detailed ways

The technical solutions in the embodiments of the present invention will be described clearly and completely below. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

The present invention provides a technical solution: an artificial intelligence algorithm model for personalized skin care recommendation, including an original information collection and reception system, a skin quality analysis model, a data training generation model and an application terminal, wherein:

The original information collection and reception system, the skin quality analysis model, the data training generation model and the application terminal are sequentially connected;

The original information collection and reception system is used to collect and receive the photographing information uploaded from the user application terminal;

The skin quality analysis model is based on the AI algorithm, which is used to obtain user information from the original information collection and reception system and calculate the data, classify and calculate multiple indicators of skin quality, build a matrix model of efficacy skin care products, and generate data for each user through data training. The model calculates the distribution of skin quality, matches the combination of effective skin care products with the user's skin state, and generates skin test reports and product recommendation conclusions;

The AI skin testing algorithm sends the skin testing report and product recommendation conclusion back to the user's application terminal, and recommends it to the user individually.

Further, the information obtained by the user includes image information and structured text information.

Further, the analysis results in the skin quality analysis model include image AI analysis results and indexed evaluation results.

Further, the application terminal is a mobile phone or a tablet, and the application terminal takes a picture to collect a face image of the user.

In this embodiment, the online artificial intelligence image recognition technology based on facial photos establishes a "collection-recommendation-optimization" data processing and recommendation framework, collects user's face pictures through mobile phone photography and other methods, and performs classification and calculation of multiple indicators of skin quality , build a matrix model of effective skin care products, calculate the skin quality distribution for each user through a variety of models, and model the combination of effective skin care products with the user's skin state to achieve personalized distribution recommendations.

It should be noted that, in this document, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any relationship between these entities or operations. any such actual relationship or sequence exists. Moreover, the terms "comprising", "comprising" or any other variation thereof are intended to encompass a non-exclusive inclusion such that a process, method, article or device that includes a list of elements includes not only those elements, but also includes not explicitly listed or other elements inherent to such a process, method, article or apparatus.

Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, and substitutions can be made in these embodiments without departing from the principle and spirit of the invention and modifications, the scope of the present invention is defined by the appended claims and their equivalents.

Claims (4)

1. an artificial intelligence algorithm model of personalized skin care recommendation, it is characterized in that: comprise original information collection receiving system, skin quality analysis model, data training generation model and application terminal, wherein: The original information collection and reception system, the skin quality analysis model, the data training generation model and the application terminal are sequentially connected; The original information collection and reception system is used to collect and receive the photographing information uploaded from the user application terminal; The skin quality analysis model is based on the AI algorithm, which is used to obtain user information from the original information collection and reception system and calculate the data, classify and calculate multiple indicators of skin quality, build a matrix model of efficacy skin care products, and generate data for each user through data training. The model calculates the distribution of skin quality, matches the combination of effective skin care products with the user's skin state, and generates skin test reports and product recommendation conclusions; The AI skin testing algorithm sends the skin testing report and product recommendation conclusion back to the user's application terminal, and recommends it to the user individually. 2 . The artificial intelligence algorithm model for personalized skin care recommendation according to claim 1 , wherein the information obtained by the user includes image information and structured text information. 3 . 3 . The artificial intelligence algorithm model for personalized skin care recommendation according to claim 1 , wherein the analysis results in the skin quality analysis model include image AI analysis results and indexed evaluation results. 4 . 4 . The artificial intelligence algorithm model for personalized skin care recommendation according to claim 1 , wherein the application terminal is a mobile phone or a tablet, and the application terminal takes a picture to collect a user's face image. 5 .