CN115049426A - Artificial intelligence algorithm model for personalized skin care recommendation - Google Patents
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Abstract
Description
技术领域technical field
本发明涉及人工智能技术领域，具体为一种个性化护肤推荐的人工智能算法模型。The invention relates to the technical field of artificial intelligence, in particular to an artificial intelligence algorithm model for personalized skin care recommendation.
背景技术Background technique
随着人工智能技术的发展，人工智能技术已经纳入了我国国家规划，力争使之成为新一轮科技和产业变革的重要驱动力。在皮肤管理领域也开始出现人工智能技术渗透，社会发展强烈需要人工智能分析不同用户的皮肤类型并与不同功效产品相匹配，提高护肤品行业生产消费流转效率与社会价值。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.
由于不同公司产品针对的领域不同，需要的数据也不相同。而用户本身通常对自身皮肤相关信息缺乏客观认知能力，且无法及时全面掌握不同功效类型护肤产品的适用信息等。目前存在问题有：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:
每个人工智能产品需要根据自身需求，需要采集多个皮肤指标，每个指标的衡量缺乏客观标准，检测结果存在客观弱的问题。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.
每个人工智能产品都对收录的功效产品进行匹配，但缺乏对第三方产品的了解，再给用户推荐时匹配能力较差。用户在多种匹配结果之间难以做出有效选择。在实际使用中，用户使用和选取过程非常繁琐，效率低下，也会阻碍人工智能在护肤领域的推广，也制约了中国功效护肤品行业的高质量发展。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.
发明内容SUMMARY OF THE INVENTION
(一)解决的技术问题(1) Technical problems solved
针对现有技术的不足，本发明提供了一种个性化护肤推荐的人工智能算法模型，解决了上述背景技术中提出的问题。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.
(二)技术方案(2) Technical solutions
为实现上述目的，本发明提供如下技术方案：一种个性化护肤推荐的人工智能算法模型，包括原始信息采集接收系统、肤质分析模型、数据训练生成模型和应用终端，其中：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:
原始信息采集接收系统、肤质分析模型、数据训练生成模型和应用终端顺序连接；The original information collection and reception system, the skin quality analysis model, the data training generation model and the application terminal are sequentially connected;
原始信息采集接收系统用于采集接收来自于用户应用终端上传的拍照信息；The original information collection and reception system is used to collect and receive the photographing information uploaded from the user application terminal;
肤质分析模型基于AI算法，用于从原始信息采集接收系统获取用户信息并运算数据，对肤质进行多项指标分类计算，搭建功效护肤品矩阵式模型，为每一位用户通过数据训练生成模型计算肤质分布，将功效护肤品组合与用户肌肤状态进行模型匹配，产生测肤报告和产品推荐结论；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;
AI测肤算法将测肤报告和产品推荐结论回传至用户应用终端，个性化推荐给用户。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.
优选的，所述用户获取到的信息包括图像类信息和结构化文字类信息。Preferably, the information obtained by the user includes image information and structured text information.
优选的，所述肤质分析模型中分析结果包括图像AI分析结果和指标化评价结果。Preferably, the analysis results in the skin quality analysis model include image AI analysis results and indexed evaluation results.
优选的，所述应用终端为手机或平板，所述应用终端拍照采集用户脸部图像。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.
(三)有益效果(3) Beneficial effects
本发明提供了一种个性化护肤推荐的人工智能算法模型，具备以下有益效果：The invention provides an artificial intelligence algorithm model for personalized skin care recommendation, which has the following beneficial effects:
(1)、本发明人工智能算法模型应用到产品上，能够实现人工智能应用产品和用户皮肤数据对接，为每一位用户通过模型计算肤质分布，将功效护肤品组合与用户肌肤状态进行模型匹配，实现个性化推荐，能够实现经济效益，推动我国护肤行业的高质量转型升级；本发明可以为用户提供一次完整皮肤数据运算结果分析并和对应功效护肤产品的分发式推荐技术，帮助用户客观、体系化的获取适合自己的肤质情况，减少用户辨别和选购产品的难度，节约用户时间，提高科学护肤消费效率，增强我国护肤产业的国际竞争力。(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.
具体实施方式Detailed ways
下面对本发明实施例中的技术方案进行清楚、完整地描述，显然，所描述的实施例仅仅是本发明一部分实施例，而不是全部的实施例。基于本发明中的实施例，本领域普通技术人员在没有做出创造性劳动前提下所获得的所有其他实施例，都属于本发明保护的范围。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.
本发明提供一种技术方案：一种个性化护肤推荐的人工智能算法模型，包括原始信息采集接收系统、肤质分析模型、数据训练生成模型和应用终端，其中：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:
原始信息采集接收系统、肤质分析模型、数据训练生成模型和应用终端顺序连接；The original information collection and reception system, the skin quality analysis model, the data training generation model and the application terminal are sequentially connected;
原始信息采集接收系统用于采集接收来自于用户应用终端上传的拍照信息；The original information collection and reception system is used to collect and receive the photographing information uploaded from the user application terminal;
肤质分析模型基于AI算法，用于从原始信息采集接收系统获取用户信息并运算数据，对肤质进行多项指标分类计算，搭建功效护肤品矩阵式模型，为每一位用户通过数据训练生成模型计算肤质分布，将功效护肤品组合与用户肌肤状态进行模型匹配，产生测肤报告和产品推荐结论；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;
AI测肤算法将测肤报告和产品推荐结论回传至用户应用终端，个性化推荐给用户。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.
进一步的，用户获取到的信息包括图像类信息和结构化文字类信息。Further, the information obtained by the user includes image information and structured text information.
进一步的，肤质分析模型中分析结果包括图像AI分析结果和指标化评价结果。Further, the analysis results in the skin quality analysis model include image AI analysis results and indexed evaluation results.
进一步的，应用终端为手机或平板，应用终端拍照采集用户脸部图像。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.
本实施例中，基于面部照片的在线人工智能图像识别技术，建立“采集—推荐—优化”数据处理和推荐框架，通过手机拍照等方式采集用户脸部图片，对肤质进行多项指标分类计算，搭建功效护肤品矩阵式模型，为每一位用户通过多种模型计算肤质分布，将功效护肤品组合与用户肌肤状态进行模型匹配，实现个性化分发推荐。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.
需要说明的是，在本文中，诸如第一和第二等之类的关系术语仅仅用来将一个实体或者操作与另一个实体或操作区分开来，而不一定要求或者暗示这些实体或操作之间存在任何这种实际的关系或者顺序。而且，术语“包括”、“包含”或者其任何其他变体意在涵盖非排他性的包含，从而使得包括一系列要素的过程、方法、物品或者设备不仅包括那些要素，而且还包括没有明确列出的其他要素，或者是还包括为这种过程、方法、物品或者设备所固有的要素。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.
尽管已经示出和描述了本发明的实施例，对于本领域的普通技术人员而言，可以理解在不脱离本发明的原理和精神的情况下可以对这些实施例进行多种变化、修改、替换和变型，本发明的范围由所附权利要求及其等同物限定。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.
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Application publication date: 20220913 |