Smart nail machine advertising push method and system

Abstract

The present invention relates to the field of advertising push technology, and discloses a method and system for pushing advertising for smart nail art machines, including: formulating creative review indicators corresponding to design team resources; collecting product design data of nail art machine products during the advertising design process, analyzing the creative characteristic dimensions corresponding to the nail art machine products, calculating the creative level factor corresponding to the creative review indicators, evaluating the design innovation index corresponding to the product promotion organization, and calculating the advertising attraction index corresponding to the nail art machine products; evaluating the feature novelty corresponding to the browsing behavior characteristics, and analyzing the user browsing interest corresponding to the product promotion organization; calculating the interactive coupling index between the browsing information data and the advertising interactive elements, and analyzing the placement adaptability of the nail art machine products in the product promotion organization; formulating the advertising push strategy corresponding to the nail art machine products, executing the push processing of the nail art machine products in the product promotion organization, and obtaining the push results. The present invention can achieve the best effect of smart nail art machine advertising push.

Description

Technical Field

[0001] The present invention relates to a method and system for pushing advertisements for an intelligent nail art machine, belonging to the technical field of advertisement pushing. Background Art

[0002] In today's era of booming digital marketing, the advertising industry is undergoing profound changes. As an emerging product in the field of beauty and nail care, the marketing of smart nail machines is highly dependent on effective advertising push strategies. As consumers' demand for personalized and precise advertising grows, traditional advertising push methods have gradually revealed many limitations.

[0003] Existing smart nail machine advertising push mainly relies on preset push rules and fixed push modes. First, the operator will determine the advertising content displayed on the nail machine operation interface based on a general understanding of the nail art market and past advertising experience. These contents include nail art product recommendations, nail art service package discount information, and related beauty brand cooperation promotions. Then, according to established time intervals or specific user operation trigger conditions, such as after the user completes a manicure, these ads are pushed to the user using the nail machine. In terms of the choice of advertising platform, it is usually directly built into the display interface of the nail art machine, or displayed in a specific advertising position of the associated mobile application (if any). However, this traditional advertising push method is a push strategy formulated based on a macro understanding of the nail art market and limited historical data. It lacks timely capture of current real-time market dynamics and in-depth insight into the personalized needs of individual users, which reduces the accuracy of advertising delivery and makes it difficult to achieve the best effect of smart nail machine advertising push. Summary of the Invention

[0004] The present invention provides a method and system for pushing advertisements for an intelligent nail art machine, the main purpose of which is to achieve the best effect of pushing advertisements for the intelligent nail art machine.

[0005] To achieve the above-mentioned purpose, the present invention provides a method for pushing advertisements to a smart nail art machine, comprising:

[0006] Obtaining nail art machine products to be promoted and product promotion organizations, querying design team resources in the product promotion organizations, determining advertising design criteria corresponding to the design team resources, and formulating creative review indicators corresponding to the design team resources based on the advertising design criteria;

[0007] collecting product design data of the nail art machine product during the advertising design process, analyzing the creative characteristic dimensions corresponding to the nail art machine product based on the product design data, calculating an indicator creativity level factor corresponding to the creativity review indicator by combining the creative characteristic dimensions with the creativity review indicator, evaluating the design innovation index corresponding to the product promotion organization based on the indicator creativity level factor, and calculating the advertising attractiveness index corresponding to the nail art machine product;

[0008] querying user browsing data of the product promotion organization, the user browsing data including browsing information data and browsing behavior data, extracting browsing behavior features from the user browsing data, evaluating feature novelty corresponding to the browsing behavior features, and analyzing browsing interests of users corresponding to the product promotion organization by combining the feature novelty and the browsing behavior features;

[0009] Calculating an interactive coupling index between the browsing information data and the advertisement interactive element, and analyzing the suitability of the nail art machine product for placement in the product promotion organization based on the user's browsing interest and the interactive coupling index;

[0010] In combination with the delivery adaptability, the design innovation index and the advertising attraction index, an advertising push strategy corresponding to the nail art machine product is formulated. Based on the advertising push strategy, the push processing of the nail art machine product is executed in the product promotion organization to obtain a push result.

[0011] Optionally, formulating creative review indicators corresponding to the design team resources based on the advertising design guidelines includes:

[0012] Conducting content analysis on the advertising design guidelines to obtain key points of the guidelines;

[0013] Interpret the key points of the guidelines to obtain the connotation of the guidelines;

[0014] Based on the content of the guidelines, identify the core points of the guidelines;

[0015] Extracting key elements from the key points of the core criteria to obtain key elements of the criteria;

[0016] Based on the key elements of the criteria, creative review indicators corresponding to the design team resources are formulated.

[0017] Optionally, analyzing the creative characteristic dimensions corresponding to the nail art machine product based on the product design data includes:

[0018] Arranging and screening the product design data to obtain selected design data;

[0019] Performing theme identification on the selected design data to obtain a design theme;

[0020] Calculating correlation coefficients between the design themes, and screening out core design themes among the design themes based on the correlation coefficients;

[0021] Based on the core design theme, performing data extraction processing on the selected design data to obtain core design data;

[0022] Performing feature induction on the core design data to obtain design data features;

[0023] Performing dimension analysis on the design data features to obtain the creative characteristic dimensions corresponding to the nail art machine product.

[0024] Optionally, calculating the correlation coefficient between the design themes includes:

[0025] Performing a value assignment process on the design theme to obtain a theme quantization value, and calculating a theme expected value corresponding to the design theme based on the theme quantization value;

[0026] Combining the theme quantification value and the theme expectation value, the correlation coefficient between the design themes is calculated using the following formula:

[0027] ;

[0028] Among them, A represents the correlation coefficient between design themes, Indicates the quantitative value of the theme corresponding to the a-th theme in the design theme, It represents the expected value of the theme corresponding to the a-th theme in the design theme. Both a and a+1 represent the serial numbers corresponding to the design theme. Indicates the quantitative value of the theme corresponding to the a+1th theme in the design theme, The expected value t of the topic corresponding to the a+1th topic in the design topic represents the number of design topics, Indicates the associated sensitive adjustment parameter.

[0029] Optionally, combining the creative characteristic dimension and the creative review indicator to calculate an indicator creativity level factor corresponding to the creative review indicator includes:

[0030] Normalizing the creative characteristic dimension to obtain a standard characteristic value;

[0031] Based on the standard characteristic values, calculating the average characteristic value and characteristic value standard deviation of the creative characteristic dimension;

[0032] Calculate the characteristic weight corresponding to the creative characteristic dimension, combine the characteristic weight, the average characteristic value, the standard characteristic value and the characteristic value standard deviation, and calculate the indicator creativity level factor corresponding to the creative review indicator using the following formula:

[0033] ;

[0034] Among them, E represents the creative level factor corresponding to the creative review index, Indicates the standard characteristic value corresponding to the bth dimension in the creation characteristic dimension. represents the average characteristic value of the creative characteristic dimension, represents the standard deviation of the characteristic value of the creative characteristic dimension, b represents the serial number of the creative characteristic dimension, q represents the number of creative characteristic dimensions, () represents the hyperbolic tangent function, Indicates the standard creativity threshold corresponding to the bth dimension in the creative characteristic dimension.

[0035] Optionally, the calculating of the advertising attraction index corresponding to the nail art machine product includes:

[0036] Collecting advertising display images and advertising interactive elements corresponding to the nail art machine product;

[0037] Extracting advertisement display features from the advertisement display image, and analyzing visual eye-catching attributes of the advertisement corresponding to the nail art machine product based on the advertisement display features;

[0038] Based on the advertising interaction elements, analyzing the advertising interaction popularity corresponding to the nail art machine product;

[0039] The advertisement attraction index corresponding to the nail art machine product is calculated by combining the advertisement visual eye-catching attributes and the advertisement interaction popularity.

[0040] Optionally, extracting browsing behavior features from the user browsing set data includes:

[0041] Performing data analysis on the user browsing set data to obtain target browsing data;

[0042] Performing behavior pattern mining on the target browsing data to obtain behavior pattern data;

[0043] Identifying key behavior sequences in the behavior pattern data, and calculating the complexity of the behavior sequences corresponding to the product promotion organization based on the key behavior sequences;

[0044] extracting behavior time interval information corresponding to the behavior pattern data, and calculating a behavior rhythm value corresponding to the product promotion organization based on the behavior time interval information;

[0045] Based on the behavior sequence complexity and the behavior rhythm value, a browsing behavior feature corresponding to the product promotion organization is generated.

[0046] Optionally, the evaluating of the feature novelty corresponding to the browsing behavior feature includes:

[0047] Performing feature decomposition processing on the browsing behavior features to obtain a basic behavior element set;

[0048] Screening out a subset of different behavior elements from the basic behavior element set, and identifying unique behavior attributes in the subset of different behavior elements;

[0049] Based on the unique behavioral attributes, calculating the uniqueness of the behavioral attributes corresponding to the product promotion organization;

[0050] Extracting behavior occurrence frequency information corresponding to the subset of different behavior elements, and calculating a behavior frequency deviation value corresponding to the product promotion organization based on the behavior occurrence frequency information;

[0051] Based on the uniqueness of the behavioral attributes and the behavioral frequency deviation value, the novelty of the features corresponding to the product promotion organization is evaluated.

[0052] Optionally, the calculating an interaction coupling index between the browsing information data and the advertisement interaction element includes:

[0053] Extracting information identifiers from the browsing information data, and extracting key information identifiers from the information identifiers;

[0054] Separately performing semantic analysis on the key information identifier and the advertisement interactive element to obtain information identifier semantics and interactive element semantics;

[0055] Calculating the semantic relevance between the information identification semantics and the interaction element semantics;

[0056] An interaction coupling index between the browsing information data and the advertisement interaction element is calculated according to the semantic association.

[0057] In order to solve the above problems, the present invention also provides an intelligent nail machine advertising push system, the system comprising:

[0058] An indicator formulation module is used to obtain nail art machine products to be promoted and product promotion organizations, query the design team resources in the product promotion organizations, determine the advertising design criteria corresponding to the design team resources, and formulate creative review indicators corresponding to the design team resources based on the advertising design criteria;

[0059] An advertising attraction index calculation module is configured to collect product design data of the nail art machine product during the advertising design process, analyze the creative characteristic dimensions corresponding to the nail art machine product based on the product design data, calculate an indicator creativity level factor corresponding to the creativity review indicator by combining the creative characteristic dimensions with the creativity review indicator, evaluate the design innovation index corresponding to the product promotion organization based on the indicator creativity level factor, and calculate the advertising attraction index corresponding to the nail art machine product;

[0060] A user browsing interest analysis module is configured to query the user browsing collection data of the product promotion agency, the user browsing collection data including browsing information data and browsing behavior data, extract browsing behavior features from the user browsing collection data, evaluate the feature novelty corresponding to the browsing behavior features, and analyze the user browsing interests corresponding to the product promotion agency by combining the feature novelty and the browsing behavior features;

[0061] a delivery suitability analysis module, configured to calculate an interactive coupling index between the browsing information data and the advertisement interactive element, and analyze the delivery suitability of the nail art machine product in the product promotion organization based on the user's browsing interest and the interactive coupling index;

[0062] The advertising push module is used to formulate an advertising push strategy corresponding to the nail art machine product based on the delivery adaptability, the design innovation index and the advertising attraction index, and based on the advertising push strategy, execute the push processing of the nail art machine product in the product promotion organization to obtain the push result.

[0063] Compared with the problems described in the background technology, the present invention formulates creative review indicators corresponding to the design team resources based on the advertising design guidelines, and can obtain quality judgment standards for subsequent design advertisements of the design team resources, thereby laying the foundation for subsequent evaluation of the effectiveness and feasibility of advertising creativity. Furthermore, the present invention analyzes the creative characteristic dimensions corresponding to the nail art machine product based on the product design data, and can obtain the characteristic performance of the nail art machine advertising creation in different aspects, thereby improving the calculation accuracy of the indicator creative level factor corresponding to the creative review indicator. The present invention can accurately grasp the user's behavior pattern in the browsing process related to product promotion by extracting the browsing behavior characteristics in the user browsing set data. Features, laying the foundation for the subsequent analysis of user browsing interests. Furthermore, the present invention calculates the interactive coupling index between the browsing information data and the advertising interactive elements, and can use the interactive coupling index to understand the user's attention to the advertisement, thereby improving the accuracy of the subsequent analysis of the adaptability of the nail art machine product in the product promotion agency. Furthermore, the present invention formulates an advertising push strategy corresponding to the nail art machine product by combining the adaptability, the design innovation index and the advertising attraction index. Based on the advertising push strategy, the push processing of the nail art machine product in the product promotion agency is executed, which significantly improves the accuracy and effectiveness of advertising delivery, thereby improving the effect of smart nail art machine advertising push. Therefore, the smart nail art machine advertising push method and system provided in the embodiment of the present invention can achieve the best effect of smart nail art machine advertising push. BRIEF DESCRIPTION OF THE DRAWINGS

[0064] Figure 1 A schematic diagram of a flow chart of a method for pushing advertisements to a smart nail art machine according to an embodiment of the present invention;

[0065] Figure 2 A schematic diagram of modules for implementing the method for pushing advertisements for a smart nail machine provided in one embodiment of the present invention.

[0066] The purpose, features and advantages of the present invention will be further described with reference to the accompanying drawings and in conjunction with the embodiments. DETAILED DESCRIPTION

[0067] It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0068] The embodiments of the present application provide a method for pushing advertisements to a smart nail art machine. The execution subject of the method includes, but is not limited to, at least one of electronic devices such as a server and a terminal that can be configured to execute the method provided by the embodiments of the present application. In other words, the method can be executed by software or hardware installed on a terminal device or a server device. The server includes, but is not limited to, a single server, a server cluster, a cloud server, or a cloud server cluster.

[0069] Example 1:

[0070] Reference Figure 1 FIG. 1 is a flow chart of a method for pushing advertisements to a smart nail art machine according to an embodiment of the present invention. In this embodiment, the method for pushing advertisements to a smart nail art machine includes:

[0071] S1. Obtain the nail art machine products to be promoted and the product promotion organization, query the design team resources in the product promotion organization, determine the advertising design criteria corresponding to the design team resources, and formulate the creative review indicators corresponding to the design team resources based on the advertising design criteria.

[0072] The present invention formulates creative review indicators corresponding to the design team resources based on the advertising design criteria, and can obtain quality evaluation standards for subsequent advertisements designed by the design team resources, thereby laying a foundation for subsequent evaluation of the effectiveness and feasibility of advertising creativity.

[0073] It should be explained that the nail art machine product is a professional device used for nail art services, capable of producing a variety of nail art patterns and effects. The product promotion organization is the organization responsible for the market promotion of the nail art machine product. The design team resources are the team within the product promotion organization responsible for creating advertising content. The advertising design guidelines are the specifications and requirements that the design team must follow when creating advertisements, such as target audience positioning guidelines, brand image communication guidelines, and creative expression guidelines. The creative review indicators are the quantitative basis for measuring whether the design team's advertising creative works meet the standards. For example, the design team resources within the product promotion organization can be queried through the organization's internal management system. The advertising design guidelines corresponding to the design team resources can be jointly formulated by the product promotion organization and the brand.

[0074] In one embodiment of the present invention, formulating the creative review indicators corresponding to the design team resources based on the advertising design criteria includes:

[0075] Conducting content analysis on the advertising design guidelines to obtain key points of the guidelines;

[0076] Interpret the key points of the guidelines to obtain the connotation of the guidelines;

[0077] Based on the content of the guidelines, identify the core points of the guidelines;

[0078] Extracting key elements from the key points of the core criteria to obtain key elements of the criteria;

[0079] Based on the key elements of the criteria, creative review indicators corresponding to the design team resources are formulated.

[0080] It should be explained that the key points of the guidelines are the main content clauses in the advertising design guidelines, the connotation of the guidelines is the deep meaning contained in the key points of the guidelines, the core key points of the guidelines are the parts of the key points of the guidelines that play a key role in advertising creativity, and the key elements of the guidelines are the representative elements in the core key points of the guidelines.

[0081] Furthermore, the content analysis of the advertising design guidelines can be achieved through text analysis; the interpretation of the connotation of the guideline key points can be achieved through expert discussion; based on the connotation of the guidelines, the core guideline key points in the guideline key points are identified, for example, some key points may involve accurate grasp of the target audience's preferences, prominent presentation of the brand's unique selling points, etc., and these key points can be identified as core guideline key points; the key elements of the core guideline key points can be extracted through hierarchical analysis; based on the key elements of the guidelines, creative review indicators corresponding to the design team resources are formulated. If the key elements contain content related to the matching degree between creativity and target audience, a matching score range is set. For example, when the matching degree between the advertising creativity and the target audience's interests and consumer psychology reaches 80% or above, the creative review index score is excellent and can enter the subsequent promotion process; when the matching degree is between 60%-80%, the score is good, and the creativity needs to be locally optimized and adjusted; when the matching degree is lower than 60%, the score is poor, and the advertising creativity plan needs to be re-conceived.

[0082] S2. Collect product design data of the nail art machine product during the advertising design process; analyze the creative characteristic dimensions corresponding to the nail art machine product based on the product design data; calculate the indicator creative level factor corresponding to the creative review index by combining the creative characteristic dimension and the creative review index; evaluate the design innovation index corresponding to the product promotion organization based on the indicator creative level factor, and calculate the advertising attraction index corresponding to the nail art machine product.

[0083] The present invention analyzes the creative characteristic dimensions corresponding to the nail art machine product based on the product design data, and can obtain the characteristic performance of the nail art machine advertising creation in different aspects, thereby improving the calculation accuracy of the indicator creative level factor corresponding to the creative review index.

[0084] It should be explained that the product design data is the relevant record data of the creative conception, application of design elements, etc. of the nail art machine product in the advertising design process. The creative characteristic dimension is the characteristic description of the nail art machine advertising creation in multiple aspects. Furthermore, the product design data of the nail art machine product in the advertising design process can be collected through the design team's creative record documents, creative discussion meeting minutes, etc.

[0085] In one embodiment of the present invention, analyzing the creative characteristic dimensions corresponding to the nail art machine product based on the product design data includes:

[0086] Arranging and screening the product design data to obtain selected design data;

[0087] Performing theme identification on the selected design data to obtain a design theme;

[0088] Calculating correlation coefficients between the design themes, and screening out core design themes among the design themes based on the correlation coefficients;

[0089] Based on the core design theme, performing data extraction processing on the selected design data to obtain core design data;

[0090] Performing feature induction on the core design data to obtain design data features;

[0091] Performing dimension analysis on the design data features to obtain the creative characteristic dimensions corresponding to the nail art machine product.

[0092] It should be explained that the selected design data is the data obtained after removing redundant and irrelevant information from the product design data, the design theme is the main creative direction identifier corresponding to the selected design data, the correlation coefficient represents the degree of mutual correlation between the design themes, the core design theme is the key representative theme among the design themes, the core design data is the data in the selected design data corresponding to the core design theme, and the design data features are the specific creative attribute expressions of the core design data, such as color application style, creative characteristics of copywriting, etc.

[0093] Furthermore, the organization and screening of the product design data can be achieved through a combination of manual review and data cleaning tools; the theme identification of the selected design data can be achieved through a text mining algorithm; when the correlation coefficient is greater than a preset coefficient, the core design themes among the design themes are screened out, and the preset coefficient can be set to 0.7, or can be adjusted according to the actual application scenario; the data extraction and processing of the selected design data can be achieved through a data extraction algorithm, such as an extraction algorithm based on keyword matching; the feature summary of the core design data can be achieved through expert experience; the dimensional analysis of the design data features can be achieved through a factor analysis method, and based on the correlation matrix between the design data features, common factors are extracted to determine the creative characteristic dimensions.

[0094] Furthermore, as an optional embodiment of the present invention, the calculating of the correlation coefficient between the design themes includes:

[0095] Performing a value assignment process on the design theme to obtain a theme quantization value, and calculating a theme expected value corresponding to the design theme based on the theme quantization value;

[0096] Combining the theme quantification value and the theme expectation value, the correlation coefficient between the design themes is calculated using the following formula:

[0097] ;

[0098] Among them, A represents the correlation coefficient between design themes, Indicates the quantitative value of the theme corresponding to the a-th theme in the design theme, It represents the expected value of the theme corresponding to the a-th theme in the design theme. Both a and a+1 represent the serial numbers corresponding to the design theme. Indicates the quantitative value of the theme corresponding to the a+1th theme in the design theme, The expected value t of the topic corresponding to the a+1th topic in the design topic represents the number of design topics, Indicates the associated sensitive adjustment parameter.

[0099] It should be explained that the subject quantization value is the quantitative expression value corresponding to the design subject, the subject expected value is the average level value corresponding to the design subject, and the associated sensitive adjustment parameter is a parameter for adjusting the sensitivity of the subject quantization value difference. The appropriate sensitivity can be determined according to specific business needs and data characteristics. Furthermore, the assignment processing of the design subject can be achieved through the expert scoring method; the calculation of the subject expected value corresponding to the design subject can be achieved through the weighted average method.

[0100] The present invention calculates the indicator creativity level factor corresponding to the creative review indicator by combining the creative characteristic dimension and the creative review indicator. The indicator creativity level factor can be used to understand the quality of the creativity corresponding to the creative review indicator. If the indicator creativity level factor is high, it means that the creativity represented by the indicator is in a relatively outstanding state and is highly innovative. For example, in the creation of nail art machine advertisements, if the indicator creativity level factor of a creative review indicator related to the copywriting creativity is high, it means that the current copywriting is creative, attractive, and can accurately convey the characteristics and advantages of the nail art machine.

[0101] In one embodiment of the present invention, the combining of the creative characteristic dimension and the creative review indicator to calculate the indicator creativity level factor corresponding to the creative review indicator includes:

[0102] Normalizing the creative characteristic dimension to obtain a standard characteristic value;

[0103] Based on the standard characteristic values, calculating the average characteristic value and characteristic value standard deviation of the creative characteristic dimension;

[0104] Calculate the characteristic weight corresponding to the creative characteristic dimension, combine the characteristic weight, the average characteristic value, the standard characteristic value and the characteristic value standard deviation, and calculate the indicator creativity level factor corresponding to the creative review indicator using the following formula:

[0105] ;

[0106] Among them, E represents the creative level factor corresponding to the creative review index, Indicates the standard characteristic value corresponding to the bth dimension in the creation characteristic dimension. represents the average characteristic value of the creative characteristic dimension, represents the standard deviation of the characteristic value of the creative characteristic dimension, b represents the serial number of the creative characteristic dimension, q represents the number of creative characteristic dimensions, () represents the hyperbolic tangent function, Indicates the standard creativity threshold corresponding to the bth dimension in the creative characteristic dimension.

[0107] It should be explained that the standard characteristic value is the expression value obtained after the creative characteristic dimension is normalized, the characteristic weight indicates the importance of the creative characteristic dimension, and the standard creative threshold is a standard value for measuring whether the creative characteristic dimension is sufficiently creative. It can be obtained by comparing with industry benchmarks. By studying excellent advertising cases that are widely recognized in the nail machine industry, analyzing the performance of these advertisements in various creative characteristic dimensions, and using them as a reference standard to determine the threshold, for example, in the copywriting creativity dimension, analyzing those advertising copies that can effectively convey the functional advantages of nail machines and attract consumers, and counting the creative techniques used therein (such as the frequency of use of rhetorical techniques such as metaphor and personification, and the novel expression of product selling points, etc.), the standard creative threshold of a copywriting creativity is determined. Furthermore, the normalization of the creative characteristic dimension can be achieved through the Min-Max normalization method; the calculation of the characteristic weight corresponding to the creative characteristic dimension can be achieved through the Delphi method; the role of the hyperbolic tangent function is to dynamically adjust the contribution weight of each creative characteristic dimension to the indicator creativity level factor based on the degree of difference between the standard characteristic value and the standard creative threshold.

[0108] The present invention evaluates the design innovation index corresponding to the product promotion organization based on the creative level factor of the indicator, thereby understanding the creative innovation ability and level of the product promotion organization, and thus laying the foundation for the optimization of subsequent nail machine product advertising strategies. It should be explained that the design innovation index represents the degree of innovation and competitiveness of the product promotion organization in the creation of nail machine advertisements.

[0109] Furthermore, a higher indicator creativity factor (e.g., close to 1) indicates that the product promotion agency has a high innovation index in the current nail machine advertising creation. For example, in terms of the three aspects of advertising visual presentation, copywriting, and creative concepts, the agency is generally close to the creativity threshold. The agency has strong creative capabilities and can launch attractive and unique advertisements. Specifically, the advertising visual presentation has a strong visual impact and can quickly catch the attention of the target audience; the copywriting is vivid and interesting and accurately conveys the product selling points; the creative concept is novel and unique, and can stand out among many nail machine advertisements. A lower indicator creativity factor: If the indicator creativity factor is low, for example, it means that the product promotion agency has a significant lack of creative innovation ability, which may mean that the advertising visual effect is bland and cannot attract the audience's interest; the copywriting is stiff and lacks appeal; the creative concept is outdated, making it difficult for the nail machine product to stand out in the market.

[0110] The present invention calculates the advertising attraction index corresponding to the nail art machine product based on the indicator creativity level factor, so as to understand the attractiveness of the nail art machine product advertisement to the target audience, and further provide a basis for evaluating the effectiveness of advertising. For example, an advertisement with a high indicator creativity level factor tends to have a high advertising attraction index, which can attract more potential customers to pay attention to the nail art machine product in the market promotion, thereby increasing the product's popularity and sales; while an advertisement with a low indicator creativity level factor also has a low advertising attraction index, which is difficult to attract the audience's attention in a highly competitive market, and is not conducive to the promotion and sales of the product. The specific advertising attraction index calculation can be determined comprehensively based on the indicator creativity level factor combined with market research data, target audience preference model, etc.

[0111] In one embodiment of the present invention, the step of calculating the advertising attraction index corresponding to the nail art machine product includes:

[0112] Collecting advertising display images and advertising interactive elements corresponding to the nail art machine product;

[0113] Extracting advertisement display features from the advertisement display image, and analyzing visual eye-catching attributes of the advertisement corresponding to the nail art machine product based on the advertisement display features;

[0114] Based on the advertising interaction elements, analyzing the advertising interaction popularity corresponding to the nail art machine product;

[0115] The advertisement attraction index corresponding to the nail art machine product is calculated by combining the advertisement visual eye-catching attributes and the advertisement interaction popularity.

[0116] Among them, the advertising display image is the corresponding image of the nail art machine product used for external display, the advertising interactive elements are the relevant elements corresponding to the nail art machine product that can trigger users to interact with it, the advertising display features are the specific characteristics presented in the advertising display image, the advertising visual eye-catching attributes are the characteristics of the nail art machine product that attract attention through visual presentation, and the advertising interaction heat is the level of activity shown by the nail art machine product in user interaction.

[0117] Furthermore, web crawler technology can be used to collect advertising display images and advertising interactive elements corresponding to the nail art machine product. Image recognition and analysis algorithms can be used to extract advertising display features from the advertising display images. Based on these advertising display features, a preset visual evaluation model, such as a composition evaluation sub-model, can be used to analyze the visual appeal of the advertisement corresponding to the nail art machine product. Based on the advertising interactive elements, data statistics and analysis tools can be used to analyze the advertising interaction popularity corresponding to the nail art machine product. When using data statistics and analysis tools to analyze the advertising interaction popularity corresponding to the nail art machine product, interaction data such as the number of likes, comments, shares, and clicks will be collected first. Data analysis software (such as Excel or a data analysis library in Python) can then be used to clean the data and remove invalid data. Then, by calculating statistical indicators such as the mean, median, and standard deviation, the interaction data of advertisements for similar products are compared to intuitively present the level of interaction enthusiasm of the nail art machine advertisement among the audience. Data visualization methods (such as bar charts and line charts) can also be used to more clearly show the changing trend of interaction enthusiasm over time or on different platforms, so as to comprehensively evaluate the interactive influence of the advertisement; combining the visual eye-catching attributes of the advertisement and the interaction enthusiasm of the advertisement, the advertisement attraction index corresponding to the nail art machine product is calculated, and the visual eye-catching attributes of the advertisement and the interaction enthusiasm of the advertisement are quantified and scored respectively, and evaluated on a scale of 0 to 100. After that, the scores of the two are directly added together, and the resulting sum is the advertisement attraction index corresponding to the nail art machine product, so as to comprehensively consider the overall attractiveness of the advertisement.

[0118] S3. Query the user browsing collection data of the product promotion agency, the user browsing collection data including browsing information data and browsing behavior data, extract browsing behavior features from the user browsing collection data, evaluate feature novelty corresponding to the browsing behavior features, and analyze the user browsing interests corresponding to the product promotion agency by combining the feature novelty and the browsing behavior features.

[0119] By extracting browsing behavior features from the user browsing set data, the present invention can accurately grasp the behavioral pattern characteristics of users in the browsing process related to product promotion, laying the foundation for subsequent analysis of user browsing interests.

[0120] It should be explained that the user browsing collection data is the sum of the information and behavior records generated when users browse various product display pages on the product promotion agency platform. The browsing behavior characteristics are representative behavioral pattern characteristics extracted from user browsing operations, such as browsing speed, page switching frequency, click order on specific elements, etc. The feature novelty is a quantitative indicator to measure the uniqueness and novelty of browsing behavior characteristics. Furthermore, the user browsing collection data can be obtained from the background database of the product promotion agency.

[0121] In one embodiment of the present invention, extracting browsing behavior features from the user browsing set data includes:

[0122] Performing data analysis on the user browsing set data to obtain target browsing data;

[0123] Performing behavior pattern mining on the target browsing data to obtain behavior pattern data;

[0124] Identifying key behavior sequences in the behavior pattern data, and calculating the complexity of the behavior sequences corresponding to the product promotion organization based on the key behavior sequences;

[0125] extracting behavior time interval information corresponding to the behavior pattern data, and calculating a behavior rhythm value corresponding to the product promotion agency based on the behavior time interval information;

[0126] Based on the behavior sequence complexity and the behavior rhythm value, a browsing behavior feature corresponding to the product promotion organization is generated.

[0127] It should be explained that the target browsing data is a data form that is easy to analyze after the user browsing set data has undergone data format conversion, data cleaning and other parsing operations. The behavior pattern data is part of the data in the target browsing data that reflects the user behavior patterns. The key behavior sequence is a behavior combination sequence in the behavior pattern data that is important for judging user behavior. The behavior sequence complexity represents the complexity of the user browsing behavior sequence. The behavior time interval information is data about the time interval between different user behaviors in the behavior pattern data. The behavior rhythm value is a quantifiable description of the speed of the user behavior rhythm corresponding to the product promotion agency, such as determining the behavior rhythm value based on the comparison between the average time interval and the preset standard time interval.

[0128] Further, the parsing and processing of the user browsing set data can be realized by data preprocessing tools. For example, data cleaning software can remove duplicate or incorrect data, and data conversion tools can unify data in different formats. The mining of the behavior patterns of the target browsing data can be realized by sequence pattern mining algorithms. For example, the AprioriAll algorithm can mine frequently occurring behavior patterns. The identification of the key behavior sequences in the behavior pattern data can be realized by behavior correlation analysis algorithms, which calculate the correlation strength between different behaviors to determine the key behavior sequences. Based on the key behavior sequences, the complexity of the behavior sequences corresponding to the product promotion institution can be calculated by graph theory methods. The behavior types in the key behavior sequences can be regarded as nodes, and the transitions between behaviors can be regarded as edges. A directed graph can be constructed, and the weight of the edge can be the frequency of behavior transitions. Then, some metrics of the graph can be calculated to measure the complexity, such as the degree distribution of nodes (i.e., the distribution of the number of edges connected to each node), the diameter of the graph (the longest shortest path), etc. For example, if the degree distribution of nodes is relatively uniform and the diameter of the graph is large, it indicates that the conversion between different behaviors in the behavior sequence is relatively complex, and the complexity of the behavior sequence is high. The extraction of the behavior time interval information corresponding to the behavior pattern data can be realized by timestamp calculation functions. Based on the behavior time interval information, the behavior rhythm value corresponding to the product promotion institution can be calculated. For example, if the average behavior time interval is T seconds and the preset normal behavior rhythm time interval threshold is T0 seconds, if T > T0, the behavior rhythm value is slow, and if T < T0, the behavior rhythm value is fast. The behavior sequence complexity and the behavior rhythm value are used as the browsing behavior characteristics corresponding to the product promotion institution.

[0129] By evaluating the feature novelty corresponding to the browsing behavior characteristics, the present invention can understand the novelty degree corresponding to the browsing behavior characteristics through the feature novelty, and further provides a basis for the subsequent analysis of the user browsing interests corresponding to the product promotion institution. It should be noted that the feature novelty represents the quantization value of the novelty degree corresponding to the browsing behavior characteristics.

[0130] In an embodiment of the present invention, the evaluation of the feature novelty corresponding to the browsing behavior characteristics includes:

[0131] Perform feature decomposition processing on the browsing behavior characteristics to obtain a set of basic behavior elements;

[0132] Filter out the subset of different behavior elements in the set of basic behavior elements, and identify the unique behavior attributes in the subset of different behavior elements;

[0133] Based on the unique behavior attributes, calculate the uniqueness of the behavior attributes corresponding to the product promotion institution;

[0134] Extracting behavior occurrence frequency information corresponding to the subset of different behavior elements, and calculating a behavior frequency deviation value corresponding to the product promotion organization based on the behavior occurrence frequency information;

[0135] Based on the uniqueness of the behavioral attributes and the behavioral frequency deviation value, the novelty of the features corresponding to the product promotion organization is evaluated.

[0136] It should be explained that the basic behavior element set is a set of the most basic behavior constituent units that break down the browsing behavior characteristics, the difference behavior element subset is the part in the basic behavior element set that is different from the common behavior elements, the unique behavior attribute is the behavioral characteristic with distinct personality in the difference behavior element subset, the behavior attribute uniqueness indicates the degree of difference between the unique behavior attribute and the conventional behavior attribute, the behavior occurrence frequency information is relevant data such as the number of times the difference behavior element appears during the browsing process, and the behavior frequency deviation value is the degree of deviation from the normal frequency range.

[0137] Furthermore, the browsing behavior features can be decomposed by a feature deconstruction algorithm to obtain a basic behavior element set. For example, complex browsing behavior features can be decomposed into single, analyzable basic behavior elements based on behavior classification rules, such as a set of elements such as click behavior, stay behavior, and scrolling behavior; a subset of different behavior elements in the basic behavior element set can be screened out by combining a predefined common behavior element library. The common behavior element library is a set of common behavior elements of general users obtained based on a large amount of statistical analysis of past browsing data. By traversing the basic behavior element set, elements that are not in the common behavior element library are selected to form a subset of different behavior elements. The unique behavior attributes in the subset of different behavior elements can be identified by a behavior attribute recognition algorithm. The behavior attribute recognition algorithm is compiled by a scripting language, such as JS scripting language; the calculation process of the uniqueness of the behavior attributes corresponding to the product promotion agency is: first, an importance weight is set for each unique behavior attribute, and the weight It can be determined based on the degree of influence on the key links of product promotion, and then the difference degree values ​​between each unique behavioral attribute and the common behavioral attribute in the corresponding dimension are calculated, the difference degree values ​​are multiplied by the weights and accumulated, and the result is the uniqueness of the behavioral attribute; the behavior occurrence frequency information corresponding to the subset of differential behavioral elements can be extracted through a frequency statistics tool, and the frequency statistics tool is compiled by a programming language; the calculation process of the behavioral frequency deviation value corresponding to the product promotion agency is: query the average occurrence frequency range of each differential behavioral element under normal browsing conditions, and then calculate the deviation ratio of the occurrence frequency of the current differential behavioral element and the range, and comprehensively calculate the deviation ratio of all differential behavioral elements to obtain the behavioral frequency deviation value; directly add the behavioral attribute uniqueness and the behavioral frequency deviation value, and evaluate the feature novelty corresponding to the product promotion agency based on the obtained result. For example, if the behavioral attribute uniqueness is 0.4 and the behavioral frequency deviation value is 0.3, the sum is 0.7, then the feature novelty is high.

[0138] The present invention analyzes the browsing interests of users corresponding to the product promotion agency by combining the feature novelty and the browsing behavior characteristics, can accurately locate niche or emerging interest points, and help the product promotion agency to plan innovative promotion strategies in advance and break through the limitations of traditional promotion. It should be explained that the user browsing interests are the attention tendencies and preference characteristics of the users corresponding to the product promotion agency when browsing its displayed content. Furthermore, the browsing interests of users corresponding to the product promotion agency are analyzed by combining the feature novelty and the browsing behavior characteristics. When the feature novelty is high and the browsing behavior characteristics show that the user frequently and deeply explores the details of a certain type of product, it can be inferred that the user has a strong interest in the product and pursues a unique experience. If the feature novelty is average but the browsing behavior characteristics are concentrated on browsing common product functions, it indicates that the user's interest tends to be basic product characteristics and conventional usage methods.

[0139] S4. Calculate the interaction coupling index between the browsing information data and the advertisement interaction element, and analyze the suitability of the nail art machine product for placement in the product promotion organization based on the user's browsing interest and the interaction coupling index.

[0140] The present invention calculates the interactive coupling index between the browsing information data and the advertising interactive elements, and can use the interactive coupling index to understand the user's attention to the advertisement, thereby improving the accuracy of the subsequent analysis of the suitability of the nail machine product in the product promotion organization. It should be explained that the interactive coupling index represents the degree of correlation between the browsing information data and the advertising interactive elements, thereby facilitating the understanding of the user's attention to the advertisement.

[0141] In one embodiment of the present invention, the calculating of the interaction coupling index between the browsing information data and the advertisement interaction element includes:

[0142] Extracting information identifiers from the browsing information data, and extracting key information identifiers from the information identifiers;

[0143] Separately performing semantic analysis on the key information identifier and the advertisement interactive element to obtain information identifier semantics and interactive element semantics;

[0144] Calculating the semantic relevance between the information identification semantics and the interaction element semantics;

[0145] An interaction coupling index between the browsing information data and the advertisement interaction element is calculated according to the semantic association.

[0146] It should be explained that the information identifier is a symbol, label, etc. with specific meaning or distinguishability used to mark browsing information data, and the key information identifier is the part that is closely related to advertising interaction and plays a key role, which is screened out from the information identifier. The information identifier semantics is the meaning and concept represented by the key information identifier obtained by semantic analysis of the key information identifier. The interactive element semantics is the result of semantic interpretation of the advertising interactive elements. The semantic correlation indicates the degree of correlation between the information identifier semantics and the interactive element semantics at the semantic level.

[0147] Furthermore, the information identifiers in the browsing information data can be extracted by a tag extraction tool, which is constructed by mining technology and text processing technology; for example, regular expressions are used to match specific formats or keywords to extract information identifiers, and then key information identifiers are screened out by a key identifier screening algorithm, such as a frequency-based screening algorithm; the key information identifiers and the advertising interactive elements can be semantically analyzed separately by a semantic analysis engine, and the semantic analysis engine can use a natural language processing toolkit such as NLTK or a semantic analysis model based on deep learning to obtain information identifier semantics and interactive element semantics; the calculation process of the semantic association between the information identifier semantics and the interactive element semantics is: the information identifier semantics and the interactive element semantics are converted into vector representations, and a pre-trained word vector model such as Word2Vec or GloVe can be used, and then the similarity between the vectors is calculated, such as cosine similarity, to obtain a semantic association value; the semantic associations corresponding to the browsing information data are summed to obtain an interactive coupling index between the browsing information data and the advertising interactive element.

[0148] The present invention analyzes the placement adaptability of the nail art machine product in the product promotion agency by combining the user browsing interest and the interactive coupling index, so as to understand the placement matching degree of the nail art machine product in the product promotion agency, thereby providing an important basis for the subsequent formulation of the corresponding advertising push strategy for the nail art machine product. It should be explained that the placement adaptability represents the placement adaptability of the nail art machine product in the product promotion agency. Further, the placement adaptability of the nail art machine product in the product promotion agency is analyzed by combining the user browsing interest and the interactive coupling index. If nail-related content frequently appears in the user browsing interest and the interactive coupling index is high, it indicates that the nail art machine advertisement is well matched with the user behavior, indicating that when the promotion agency places the advertisement, it can accurately reach potential users, users are easy to interact with the advertisement, and the placement adaptability is good.

[0149] S5. Based on the delivery adaptability, the design innovation index and the advertising attraction index, formulate an advertising push strategy corresponding to the nail art machine product; based on the advertising push strategy, execute push processing of the nail art machine product in the product promotion organization to obtain a push result.

[0150] The present invention formulates an advertising push strategy corresponding to the nail art machine product by combining the delivery adaptability, the design innovation index and the advertising attraction index. Based on the advertising push strategy, the push processing of the nail art machine product in the product promotion agency is executed, which significantly improves the accuracy and effectiveness of advertising delivery, thereby improving the effect of improving the advertising push of smart nail art machines. It should be explained that the advertising push strategy is the advertising push method corresponding to the nail art machine product. Furthermore, the formulation process of the advertising push strategy corresponding to the nail art machine product is: first, based on the delivery adaptability, the precise audience group with potential interest in the nail art machine is locked, and then the unique design highlights of the nail art machine are integrated into the advertising creativity and visual presentation with reference to the design innovation index. Finally, combined with the advertising attraction index, the delivery agency with high traffic and audience matching is selected, and the optimal delivery time period is determined, thereby building a comprehensive and targeted advertising push strategy.

[0151] Compared with the problems described in the background technology, the present invention formulates creative review indicators corresponding to the design team resources based on the advertising design guidelines, and can obtain quality judgment standards for subsequent design advertisements of the design team resources, thereby laying the foundation for subsequent evaluation of the effectiveness and feasibility of advertising creativity. Furthermore, the present invention analyzes the creative characteristic dimensions corresponding to the nail art machine product based on the product design data, and can obtain the characteristic performance of the nail art machine advertising creation in different aspects, thereby improving the calculation accuracy of the indicator creative level factor corresponding to the creative review indicator. The present invention can accurately grasp the user's behavior pattern in the browsing process related to product promotion by extracting the browsing behavior characteristics in the user browsing set data. Features, laying the foundation for the subsequent analysis of user browsing interests. Furthermore, the present invention calculates the interactive coupling index between the browsing information data and the advertising interactive elements, and can use the interactive coupling index to understand the user's attention to the advertisement, thereby improving the accuracy of the subsequent analysis of the adaptability of the nail art machine product in the product promotion agency. Furthermore, the present invention formulates an advertising push strategy corresponding to the nail art machine product by combining the adaptability, the design innovation index and the advertising attraction index. Based on the advertising push strategy, the push processing of the nail art machine product in the product promotion agency is executed, which significantly improves the accuracy and effectiveness of advertising delivery, thereby improving the effect of smart nail art machine advertising push. Therefore, the smart nail art machine advertising push method and system provided in the embodiment of the present invention can achieve the best effect of smart nail art machine advertising push.

[0152] Example 2:

[0153] like Figure 2 The figure shows a functional module diagram of an intelligent nail machine advertising push system of the present invention.

[0154] The smart nail art machine advertising push system 200 described in the present invention can be installed in an electronic device. Depending on the functionality implemented, the smart nail art machine advertising push system may include an indicator formulation module 201, an advertising attraction index calculation module 202, a user browsing interest analysis module 203, a delivery suitability analysis module 204, and an advertising push module 205. A module, also referred to as a unit, is a series of computer program segments that can be executed by an electronic device processor and perform a fixed function. These are stored in the electronic device's memory.

[0155] In the embodiment of the present invention, the functions of each module / unit are as follows:

[0156] The indicator formulation module 201 is used to obtain nail art machine products to be promoted and product promotion organizations, query the design team resources in the product promotion organizations, determine the advertising design criteria corresponding to the design team resources, and formulate the creative review indicators corresponding to the design team resources based on the advertising design criteria;

[0157] The advertising attraction index calculation module 202 is configured to collect product design data of the nail art machine product during the advertising design process, analyze the creative characteristic dimensions corresponding to the nail art machine product based on the product design data, calculate the indicator creativity level factor corresponding to the creativity review indicator by combining the creative characteristic dimensions with the creativity review indicator, evaluate the design innovation index corresponding to the product promotion organization based on the creativity level factor, and calculate the advertising attraction index corresponding to the nail art machine product;

[0158] The user browsing interest analysis module 203 is configured to query the user browsing data of the product promotion agency, the user browsing data including browsing information data and browsing behavior data, extract browsing behavior features from the user browsing data, evaluate the feature novelty corresponding to the browsing behavior features, and analyze the user browsing interests corresponding to the product promotion agency by combining the feature novelty and the browsing behavior features;

[0159] The delivery suitability analysis module 204 is configured to calculate an interactive coupling index between the browsing information data and the advertisement interactive elements, and analyze the delivery suitability of the nail art machine product in the product promotion organization based on the user's browsing interests and the interactive coupling index;

[0160] The advertising push module 205 is used to formulate an advertising push strategy corresponding to the nail art machine product based on the delivery adaptability, the design innovation index and the advertising attraction index, and based on the advertising push strategy, execute the push processing of the nail art machine product in the product promotion organization to obtain a push result.

[0161] In detail, the modules in the smart nail machine advertising push system 200 in the embodiment of the present invention are used in the same manner as above. Figure 1 The same technical means are used as the smart nail machine advertising push method described in and can produce the same technical effects, so I will not go into details here.

[0162] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.

[0163] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not limiting. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention.

Claims

1. A method for pushing advertisements for a smart nail art machine, characterized in that: The method comprises: Obtaining nail art machine products to be promoted and product promotion organizations, querying design team resources in the product promotion organizations, determining advertising design criteria corresponding to the design team resources, and formulating creative review indicators corresponding to the design team resources based on the advertising design criteria; collecting product design data of the nail art machine product during the advertising design process, analyzing the creative characteristic dimensions corresponding to the nail art machine product based on the product design data, calculating an indicator creativity level factor corresponding to the creativity review indicator by combining the creative characteristic dimensions with the creativity review indicator, evaluating the design innovation index corresponding to the product promotion organization based on the indicator creativity level factor, and collecting advertising display images and advertising interactive elements corresponding to the nail art machine product to calculate the advertising attraction index corresponding to the nail art machine product; querying user browsing data of the product promotion organization, the user browsing data including browsing information data and browsing behavior data, extracting browsing behavior features from the user browsing data, evaluating feature novelty corresponding to the browsing behavior features, and analyzing browsing interests of users corresponding to the product promotion organization by combining the feature novelty and the browsing behavior features; Calculating an interactive coupling index between the browsing information data and the advertising interactive element, and analyzing the suitability of the nail art machine product for placement in the product promotion organization in combination with the user's browsing interest and the interactive coupling index, wherein calculating the interactive coupling index between the browsing information data and the advertising interactive element includes: Extracting information identifiers from the browsing information data, and extracting key information identifiers from the information identifiers; Separately performing semantic analysis on the key information identifier and the advertisement interactive element to obtain information identifier semantics and interactive element semantics; Calculating the semantic relevance between the information identification semantics and the interaction element semantics; Calculating an interactive coupling index between the browsing information data and the advertisement interactive element according to the semantic relevance; In combination with the delivery adaptability, the design innovation index and the advertising attraction index, an advertising push strategy corresponding to the nail art machine product is formulated. Based on the advertising push strategy, the push processing of the nail art machine product is executed in the product promotion organization to obtain a push result.

2. The method for pushing advertisements for a smart nail art machine according to claim 1, wherein: The step of formulating creative review indicators corresponding to the design team resources based on the advertising design guidelines includes: Conducting content analysis on the advertising design guidelines to obtain key points of the guidelines; Interpret the key points of the guidelines to obtain the connotation of the guidelines; Based on the content of the guidelines, identify the core points of the guidelines; Extracting key elements from the key points of the core criteria to obtain key elements of the criteria; Based on the key elements of the criteria, creative review indicators corresponding to the design team resources are formulated.

3. The method for pushing advertisements for a smart nail art machine according to claim 1, wherein: The step of analyzing the creative characteristic dimensions corresponding to the nail art machine product based on the product design data includes: Arranging and screening the product design data to obtain selected design data; Performing theme identification on the selected design data to obtain a design theme; Calculating correlation coefficients between the design themes, and screening out core design themes among the design themes based on the correlation coefficients; Based on the core design theme, performing data extraction processing on the selected design data to obtain core design data; Performing feature induction on the core design data to obtain design data features; Performing dimension analysis on the design data features to obtain the creative characteristic dimensions corresponding to the nail art machine product.

4. The method for pushing advertisements for a smart nail art machine according to claim 1, wherein: The step of combining the creative characteristic dimension and the creative review indicator to calculate the indicator creativity level factor corresponding to the creative review indicator includes: Normalizing the creative characteristic dimension to obtain a standard characteristic value; Based on the standard characteristic values, calculating the average characteristic value and characteristic value standard deviation of the creative characteristic dimension; Calculate the characteristic weight corresponding to the creative characteristic dimension, combine the characteristic weight, the average characteristic value, the standard characteristic value and the characteristic value standard deviation, and calculate the indicator creativity level factor corresponding to the creative review indicator using the following formula: ； Among them, E represents the creative level factor corresponding to the creative review index, Indicates the standard characteristic value corresponding to the bth dimension in the creation characteristic dimension. represents the average characteristic value of the creative characteristic dimension, represents the standard deviation of the characteristic value of the creative characteristic dimension, b represents the serial number of the creative characteristic dimension, q represents the number of creative characteristic dimensions, () represents the hyperbolic tangent function, Indicates the standard creativity threshold corresponding to the bth dimension in the creative characteristic dimension.

5. The method for pushing advertisements for a smart nail art machine according to claim 1, wherein: The calculation of the advertising attraction index corresponding to the nail art machine product also includes: Extracting advertisement display features from the advertisement display image, and analyzing visual eye-catching attributes of the advertisement corresponding to the nail art machine product based on the advertisement display features; Based on the advertising interaction elements, analyzing the advertising interaction popularity corresponding to the nail art machine product; The advertisement attraction index corresponding to the nail art machine product is calculated by combining the advertisement visual eye-catching attributes and the advertisement interaction popularity.

6. The method for pushing advertisements for a smart nail art machine according to claim 1, wherein: The extracting of browsing behavior features from the user browsing set data includes: Performing data analysis on the user browsing set data to obtain target browsing data; Performing behavior pattern mining on the target browsing data to obtain behavior pattern data; Identifying key behavior sequences in the behavior pattern data, and calculating the complexity of the behavior sequences corresponding to the product promotion organization based on the key behavior sequences; extracting behavior time interval information corresponding to the behavior pattern data, and calculating a behavior rhythm value corresponding to the product promotion agency based on the behavior time interval information; Based on the behavior sequence complexity and the behavior rhythm value, a browsing behavior feature corresponding to the product promotion organization is generated.

7. The method for pushing advertisements for a smart nail art machine according to claim 1, wherein: The evaluation of the feature novelty corresponding to the browsing behavior feature includes: Performing feature decomposition processing on the browsing behavior features to obtain a basic behavior element set; Screening out a subset of different behavior elements from the basic behavior element set, and identifying unique behavior attributes in the subset of different behavior elements; Based on the unique behavioral attributes, calculating the uniqueness of the behavioral attributes corresponding to the product promotion organization; Extracting behavior occurrence frequency information corresponding to the subset of different behavior elements, and calculating a behavior frequency deviation value corresponding to the product promotion organization based on the behavior occurrence frequency information; Based on the uniqueness of the behavioral attributes and the behavioral frequency deviation value, the novelty of the features corresponding to the product promotion organization is evaluated.

8. An intelligent nail machine advertising push system, characterized in that: The system comprises: An indicator formulation module is used to obtain nail art machine products to be promoted and product promotion organizations, query the design team resources in the product promotion organizations, determine the advertising design criteria corresponding to the design team resources, and formulate creative review indicators corresponding to the design team resources based on the advertising design criteria; An advertising attraction index calculation module is configured to collect product design data of the nail art machine product during the advertising design process, analyze the creative characteristic dimensions corresponding to the nail art machine product based on the product design data, calculate an indicator creativity level factor corresponding to the creativity review indicator by combining the creative characteristic dimensions with the creativity review indicator, evaluate the design innovation index corresponding to the product promotion organization based on the indicator creativity level factor, and collect advertising display images and advertising interactive elements corresponding to the nail art machine product to calculate the advertising attraction index corresponding to the nail art machine product; A user browsing interest analysis module is configured to query the user browsing collection data of the product promotion agency, the user browsing collection data including browsing information data and browsing behavior data, extract browsing behavior features from the user browsing collection data, evaluate the feature novelty corresponding to the browsing behavior features, and analyze the user browsing interests corresponding to the product promotion agency by combining the feature novelty and the browsing behavior features; The delivery suitability analysis module is configured to calculate an interactive coupling index between the browsing information data and the advertising interactive element, and analyze the delivery suitability of the nail art machine product in the product promotion organization in combination with the user's browsing interest and the interactive coupling index, wherein the calculation of the interactive coupling index between the browsing information data and the advertising interactive element includes: Extracting information identifiers from the browsing information data, and extracting key information identifiers from the information identifiers; Separately performing semantic analysis on the key information identifier and the advertisement interactive element to obtain information identifier semantics and interactive element semantics; Calculating the semantic relevance between the information identification semantics and the interaction element semantics; Calculating an interactive coupling index between the browsing information data and the advertisement interactive element according to the semantic relevance; The advertising push module is used to formulate an advertising push strategy corresponding to the nail art machine product based on the delivery adaptability, the design innovation index and the advertising attraction index, and based on the advertising push strategy, execute the push processing of the nail art machine product in the product promotion organization to obtain the push result.

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