Advertisement pushing method and system for intelligent manicure machine

Abstract

The invention relates to the technical field of advertisement pushing, and discloses an intelligent manicure machine advertisement pushing method and system, and the method comprises the steps: formulating a creative auditing index corresponding to a design team resource; collecting product design data of the manicure machine product in an advertisement design process, analyzing creation characteristic dimensions corresponding to the manicure machine product, calculating an index creative level factor corresponding to a creative auditing index, evaluating a design innovation index corresponding to a product promotion mechanism, and calculating an advertisement attraction index corresponding to the manicure machine product; evaluating feature novelty corresponding to the browsing behavior features, and analyzing user browsing interests corresponding to the product promotion institutions; calculating an interaction coupling index between the browsing information data and the advertisement interaction element, and analyzing the putting adaptation degree of the manicure machine product in a product popularization mechanism; and formulating an advertisement pushing strategy corresponding to the manicure machine product, and executing pushing processing of the manicure machine product in a product popularization mechanism to obtain a pushing result. According to the invention, the optimal advertisement pushing effect of the intelligent manicure machine can be realized.

Description

Technical Field

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

[0002] In the current era of booming digital marketing, the advertising industry is undergoing profound changes. As an emerging product in the beauty and nail art field, the market promotion of intelligent nail art machines highly depends on effective advertising push strategies. With the increasing demand of consumers for personalized and precise advertisements, the traditional advertising push methods gradually reveal many limitations.

[0003] The existing advertising push of intelligent nail art machines mainly relies on preset push rules and fixed push modes. First, the operator will determine the advertising content displayed on the operation interface of the nail art machine based on the general understanding of the nail art market and past advertising investment experience. This content includes nail art product recommendations, preferential information on nail art service packages, cooperation promotions of related beauty brands, etc. Then, according to the established time interval or specific user operation trigger conditions, such as after a user completes a nail art production, these advertisements are pushed to the users using the nail art machine. In terms of the selection of the advertising investment platform, it is usually directly built into the display interface of the nail art machine or displayed in a specific advertising space of the associated mobile application (if any). However, this traditional advertising push method is a push strategy formulated based on the macroscopic understanding of the nail art market and limited historical data, lacking the timely capture of the current real-time market dynamic changes and the in-depth insight into the personalized needs of individual users, reducing the accuracy of advertising investment and making it difficult to achieve the best effect of advertising push for intelligent nail art machines. Summary of the Invention

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

[0005] To achieve the above object, a method for advertising push of an intelligent nail art machine provided by the present invention includes: Obtain the nail art machine products to be promoted and the product promotion institutions, query the design team resources in the product promotion institutions, determine the advertising design criteria corresponding to the design team resources, and based on the advertising design criteria, formulate the creative review indicators corresponding to the design team resources; Collect the product design data of the nail art machine product during the advertising design process. Based on the product design data, analyze the creative characteristic dimensions corresponding to the nail art machine product. Combine the creative characteristic dimensions and the creative review indicators, calculate the index creative level factor corresponding to the creative review indicators. Based on the index creative level factor, evaluate the design innovation index corresponding to the product promotion agency, and calculate the advertising attraction index corresponding to the nail art machine product; Query the user browsing set data of the product promotion agency. The user browsing set data includes browsing information data and browsing behavior data. Extract the browsing behavior characteristics in the user browsing set data, evaluate the novelty of the browsing behavior characteristics corresponding to the browsing behavior characteristics, and combine the novelty and the browsing behavior characteristics to analyze the user browsing interest corresponding to the product promotion agency; Calculate the interaction coupling index between the browsing information data and the advertising interaction elements. Combine the user browsing interest and the interaction coupling index to analyze the placement suitability of the nail art machine product in the product promotion agency; Combine the placement suitability, the design innovation index and the advertising attraction index to formulate the advertising push strategy corresponding to the nail art machine product. Based on the advertising push strategy, perform the push processing of the nail art machine product in the product promotion agency to obtain the push result.

[0006] Optionally, formulating the creative review indicators corresponding to the design team resources based on the advertising design criteria includes: Conduct content analysis on the advertising design criteria to obtain the criterion key points; Interpret the connotation of the criterion key points to obtain the criterion connotation; Based on the criterion connotation, identify the core criterion key points in the criterion key points; Extract the key elements of the core criterion key points to obtain the criterion key elements; Based on the criterion key elements, formulate the creative review indicators corresponding to the design team resources.

[0007] Optionally, analyzing the creative characteristic dimensions corresponding to the nail art machine product based on the product design data includes: Sort and filter the product design data to obtain the selected design data; Identify the design themes of the selected design data to obtain the design themes; Calculate the correlation tightness coefficient between the design themes. Based on the correlation tightness coefficient, screen out the core design themes in the design themes; Based on the core design themes, perform data extraction processing on the selected design data to obtain the core design data; Induce the features of the core design data to obtain design data features; Conduct dimensional analysis on the design data features to obtain the creative characteristic dimensions corresponding to the nail art machine product.

[0008] Optionally, calculating the correlation tightness coefficient between the design themes includes: Perform value assignment processing on the design themes to obtain theme quantization values, and calculate the theme expected values corresponding to the design themes based on the theme quantization values; Combine the theme quantization values and the theme expected values, and calculate the correlation tightness coefficient between the design themes through the following formula: ; where A represents the correlation tightness coefficient between the design themes, represents the theme quantization value corresponding to the a-th theme in the design themes, represents the theme expected value corresponding to the a-th theme in the design themes, a and a + 1 both represent the serial numbers corresponding to the design themes, represents the theme quantization value corresponding to the (a + 1)-th theme in the design themes, represents the theme expected value corresponding to the (a + 1)-th theme in the design themes, t represents the number of design themes, represents the correlation sensitivity adjustment parameter.

[0009] Optionally, combining the creative characteristic dimensions and the creative review indicators to calculate the indicator creative level factor corresponding to the creative review indicators includes: Perform normalization processing on the creative characteristic dimensions to obtain standard characteristic values; Based on the standard characteristic values, calculate the average characteristic value and the characteristic value standard deviation of the creative characteristic dimensions; Calculate the characteristic weight values corresponding to the creative characteristic dimensions, and combine the characteristic weight values, the average characteristic value, the standard characteristic values, and the characteristic value standard deviation to calculate the indicator creative level factor corresponding to the creative review indicators through the following formula: ; where E represents the indicator creative level factor corresponding to the creative review indicators, represents the standard characteristic value corresponding to the b-th dimension in the creative characteristic dimensions, represents the average characteristic value of the creative characteristic dimensions, represents the characteristic value standard deviation of the creative characteristic dimensions, b represents the serial number of the creative characteristic dimensions, q represents the number of creative characteristic dimensions, () represents the hyperbolic tangent function, represents the standard creative threshold corresponding to the b-th dimension in the creative characteristic dimensions.

[0010] Optionally, calculating the advertisement attraction index corresponding to the nail art machine product includes: Collecting advertisement display images and advertisement interaction elements corresponding to the nail art machine product; Extracting advertisement display features in the advertisement display images, and analyzing the advertisement visual eye-catching attributes corresponding to the nail art machine product according to the advertisement display features; Analyzing the advertisement interaction heat corresponding to the nail art machine product based on the advertisement interaction elements; Combining the advertisement visual eye-catching attributes and the advertisement interaction heat to calculate the advertisement attraction index corresponding to the nail art machine product.

[0011] Optionally, extracting browsing behavior features in the user browsing set data includes: Performing data parsing processing 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 behavior sequence complexity corresponding to the product promotion institution based on the key behavior sequences; Extracting behavior time interval information corresponding to the behavior pattern data, and calculating the behavior rhythm value corresponding to the product promotion institution based on the behavior time interval information; Generating browsing behavior features corresponding to the product promotion institution based on the behavior sequence complexity and the behavior rhythm value.

[0012] Optionally, evaluating the feature novelty corresponding to the browsing behavior features includes: Performing feature decomposition processing on the browsing behavior features to obtain a set of basic behavior elements; Screening out a subset of different behavior elements in the set of basic behavior elements, and identifying unique behavior attributes in the subset of different behavior elements; Calculating the behavior attribute uniqueness corresponding to the product promotion institution based on the unique behavior attributes; Extracting behavior occurrence frequency information corresponding to the subset of different behavior elements, and calculating the behavior frequency deviation value corresponding to the product promotion institution based on the behavior occurrence frequency information; Evaluating the feature novelty corresponding to the product promotion institution based on the behavior attribute uniqueness and the behavior frequency deviation value.

[0013] Optionally, calculating the interaction coupling index between the browsing information data and the advertisement interaction elements includes: Extract the information identifiers from the browsing information data, and extract the key information identifiers from the information identifiers; Semantically parse the key information identifiers and the advertisement interaction elements respectively to obtain the information identifier semantics and the interaction element semantics; Calculate the semantic correlation degree between the information identifier semantics and the interaction element semantics; Calculate the interaction coupling index between the browsing information data and the advertisement interaction elements according to the semantic correlation degree.

[0014] To solve the above problems, the present invention also provides an intelligent manicure machine advertisement push system, and the system includes: An index formulation module, configured to obtain the manicure machine products to be promoted and the product promotion institutions, query the design team resources in the product promotion institutions, determine the advertisement design criteria corresponding to the design team resources, and formulate the creative review indexes corresponding to the design team resources based on the advertisement design criteria; An advertisement attraction index calculation module, configured to collect the product design data of the manicure machine products during the advertisement design process, analyze the creative characteristic dimensions corresponding to the manicure machine products based on the product design data, combine the creative characteristic dimensions and the creative review indexes, calculate the index creative level factors corresponding to the creative review indexes, evaluate the design innovation index corresponding to the product promotion institutions based on the index creative level factors, and calculate the advertisement attraction index corresponding to the manicure machine products; A user browsing interest analysis module, configured to query the user browsing set data of the product promotion institutions, where the user browsing set data includes browsing information data and browsing behavior data, extract the browsing behavior characteristics from the user browsing set data, evaluate the novelty of the browsing behavior characteristics, and analyze the user browsing interest corresponding to the product promotion institutions in combination with the novelty and the browsing behavior characteristics; A placement adaptability analysis module, configured to calculate the interaction coupling index between the browsing information data and the advertisement interaction elements, and analyze the placement adaptability of the manicure machine products in the product promotion institutions in combination with the user browsing interest and the interaction coupling index; An advertisement push module, configured to formulate the advertisement push strategy corresponding to the manicure machine products in combination with the placement adaptability, the design innovation index and the advertisement attraction index, and perform the push processing of the manicure machine products in the product promotion institutions based on the advertisement push strategy to obtain a push result.

[0015] Compared with the problems described in the background art, based on the advertising design criteria, the present invention formulates creative review indicators corresponding to the design team resources, and can obtain the quality evaluation criteria for the subsequent designed advertisements of the design team resources, thereby laying a foundation for the subsequent evaluation of the effectiveness and feasibility of advertising creativity. Further, based on the product design data, the present invention analyzes the creative characteristic dimensions corresponding to the nail art machine product, and can obtain the characteristic performances of the nail art machine advertisement creation in different aspects, thereby improving the calculation accuracy of the index creative level factor corresponding to the creative review indicator. By extracting the browsing behavior characteristics in the user browsing set data, the present invention can accurately grasp the behavioral pattern characteristics of users during the browsing process related to product promotion, laying a foundation for the subsequent analysis of user browsing interests. Further, by calculating the interaction coupling index between the browsing information data and the advertisement interaction elements, the present invention can understand the degree of user attention to the advertisement through the interaction coupling index, improving the analysis accuracy of the subsequent placement adaptability of the nail art machine product in the product promotion agency. Further, by combining the placement adaptability, the design innovation index, and the advertisement attraction index, the present invention formulates an advertisement push strategy corresponding to the nail art machine product, and based on the advertisement push strategy, executes the push process of the nail art machine product in the product promotion agency, significantly improving the accuracy and effectiveness of advertisement placement, thereby achieving the improvement of the effect of intelligent nail art machine advertisement push. Therefore, the intelligent nail art machine advertisement push method and system provided by the embodiments of the present invention can achieve the best effect of intelligent nail art machine advertisement push. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 It is a schematic flowchart of the intelligent nail art machine advertisement push method provided by an embodiment of the present invention; Figure 2 It is a schematic diagram of a module for implementing the intelligent nail art machine advertisement push method provided by an embodiment of the present invention.

[0017] The realization, functional characteristics, and advantages of the present invention will be further described with reference to the accompanying drawings in conjunction with the embodiments. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0018] It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0019] The embodiments of the present application provide a method for pushing advertisements of intelligent nail art machines. The execution subject of the method for pushing advertisements of intelligent nail art machines includes, but is not limited to, at least one of electronic devices such as a server, a terminal, etc. that can be configured to execute the method provided by the embodiments of the present application. In other words, the method for pushing advertisements of intelligent nail art machines 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, etc.

[0020] Embodiment 1: Referring to Figure 1 As shown, it is a schematic flowchart of the method for pushing advertisements of an intelligent nail art machine provided by an embodiment of the present invention. In this embodiment, the method for pushing advertisements of the intelligent nail art machine includes: S1. Obtain the nail art machine products to be promoted and the product promotion agencies, query the design team resources in the product promotion agencies, determine the advertising design criteria corresponding to the design team resources, and based on the advertising design criteria, formulate the creative review indicators corresponding to the design team resources.

[0021] Based on the advertising design criteria, the present invention formulates the creative review indicators corresponding to the design team resources, and can obtain the quality evaluation criteria for the subsequent designed advertisements of the design team resources, thereby laying a foundation for subsequent evaluation of the effectiveness and feasibility of advertising creativity.

[0022] It should be explained that the nail art machine product is a professional device for nail art services, which can realize the production of various nail art patterns and effects. The product promotion agency is an organization responsible for the market promotion of nail art machine products. The design team resources are the teams in the product promotion agency responsible for creating advertising and promotional content. The advertising design criteria are the norms and requirements that the design team needs to follow when creating advertisements, such as the target audience positioning criteria, the brand image communication criteria, the creative expression form criteria, etc. The creative review indicators are the quantitative basis for measuring whether the advertising creative works of the design team meet the standards. Exemplarily, the query of the design team resources in the product promotion agency can be realized through the internal management system of the agency. The advertising design criteria corresponding to the design team resources can be jointly formulated by the product promotion agency and the brand side.

[0023] In an embodiment of the present invention, the formulating the creative review indicators corresponding to the design team resources based on the advertising design criteria includes: Conduct content analysis on the advertising design criteria to obtain the key points of the criteria; Interpret the connotations of the key points of the criteria to obtain the connotations of the criteria; Based on the connotations of the criteria, identify the core key points of the key points of the criteria; Extract key elements from the key points of the core guidelines to obtain the key elements of the guidelines; Based on the key elements of the guidelines, formulate the creative review indicators corresponding to the design team resources.

[0024] It should be noted that the guideline points are the main content clauses in the advertising design guidelines, the guideline connotation is the deep meaning contained in the guideline points, the core guideline points are the parts of the guideline points that play a key decisive role in advertising creativity, and the key elements of the guidelines are the representative elements in the core guideline points.

[0025] Furthermore, the content analysis of the advertising design guidelines can be achieved through text analysis methods; the interpretation of the connotation of the guideline points can be achieved through expert discussion methods; based on the guideline connotation, identify the core guideline points in the guideline points. For example, some points may involve the accurate grasp of the target audience's preferences, the prominent presentation of the brand's unique selling points, etc., and these points can be identified as core guideline points; the extraction of the key elements of the core guideline points can be achieved through the analytic hierarchy process; based on the key elements of the guidelines, formulate the creative review indicators corresponding to the design team resources. If the key elements involve the content of the matching degree between creativity and the target audience, set the score range of the matching degree. For example, when the matching degree between the advertising creativity and the target audience's interests and consumption psychology reaches 80% or more, the score of the creative review indicator 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 less than 60%, the score is poor and the advertising creativity plan needs to be re-conceived.

[0026] S2. Collect the product design data of the manicure machine product during the advertising design process. Based on the product design data, analyze the creative characteristic dimensions corresponding to the manicure machine product. Combine the creative characteristic dimensions and the creative review indicators to calculate the index creative level factor corresponding to the creative review indicator. Based on the index creative level factor, evaluate the design innovation index corresponding to the product promotion agency, and calculate the advertising attraction index corresponding to the manicure machine product.

[0027] By analyzing the creative characteristic dimensions corresponding to the manicure machine product based on the product design data, the present invention can obtain the characteristic performances of the manicure machine advertisement creation in different aspects, thereby improving the calculation accuracy of the index creative level factor corresponding to the creative review indicator.

[0028] It should be noted that the product design data is the relevant recorded data such as the creative concept and the application of design elements in the advertising design process of the nail art machine product. The creative characteristic dimension is the feature description of the nail art machine advertisement creation in multiple aspects. Further, the product design data of the nail art machine product in the advertising design process can be collected through the creative record documents of the design team, the minutes of the creative discussion meetings, etc.

[0029] In an embodiment of the present invention, analyzing the creative characteristic dimension corresponding to the nail art machine product based on the product design data includes: Sorting and screening the product design data to obtain selected design data; Performing theme recognition on the selected design data to obtain design themes; Calculating the correlation tightness coefficient between the design themes, and based on the correlation tightness coefficient, screening out the core design themes among the design themes; Based on the core design themes, 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 dimension corresponding to the nail art machine product.

[0030] It should be noted that the selected design data is the data obtained by 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 tightness 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 corresponding to the core design theme in the selected design data. The design data features are the specific creative attribute manifestations of the core design data, such as the color application style, the copywriting creative features, etc.

[0031] Further, the sorting and screening of the product design data can be achieved by combining manual review and data cleaning tools; the theme recognition of the selected design data can be achieved through text mining algorithms; when the correlation tightness coefficient is greater than a preset coefficient, the core design themes among the design themes are screened out. The preset coefficient can be set to 0.7, or it can be adjusted according to the actual application scenario; the data extraction processing of the selected design data can be achieved through data extraction algorithms, such as the extraction algorithm based on keyword matching; the feature induction of the core design data can be achieved through the expert experience method; the dimension analysis of the design data features can be achieved through the factor analysis method. Based on the correlation matrix between the design data features, the common factors are extracted to determine the creative characteristic dimension.

[0032] Further, as an alternative embodiment of the present invention, calculating the correlation tightness coefficient between the design themes includes: Performing an assignment process on the design themes to obtain theme quantization values, and calculating the theme expected values corresponding to the design themes based on the theme quantization values; Combining the theme quantization values and the theme expected values, and calculating the correlation tightness coefficient between the design themes through the following formula: ; where A represents the correlation tightness coefficient between the design themes, represents the theme quantization value corresponding to the a-th theme in the design themes, represents the theme expected value corresponding to the a-th theme in the design themes, and both a and a + 1 represent the serial numbers corresponding to the design themes, represents the theme quantization value corresponding to the (a + 1)-th theme in the design themes, represents the theme expected value corresponding to the (a + 1)-th theme in the design themes, t represents the number of design themes, represents the correlation sensitivity adjustment parameter.

[0033] It should be explained that the theme quantization value is the quantization expression value corresponding to the design theme, the theme expected value is the average level value corresponding to the design theme, and the correlation sensitivity adjustment parameter is a parameter that adjusts the sensitivity degree of the difference in theme quantization values. The appropriate sensitivity degree can be determined according to specific business requirements and data characteristics. Further, the assignment process of the design themes can be achieved through the expert scoring method; the calculation of the theme expected value corresponding to the design theme can be achieved through the weighted average method.

[0034] The present invention combines the creation characteristic dimension and the creative review index, and calculates the index creative level factor corresponding to the creative review index. The creative quality of the creative review index can be understood through the index creative level factor. For example, if the index creative level factor is relatively high, it indicates that the creative aspect represented by this index is in a relatively excellent state and has strong innovation. For example, in the creation of a manicure machine advertisement, if the index creative level factor of a creative review index related to copywriting creativity is high, it means that the current copywriting is creative, attractive, and can accurately convey the features and advantages of the manicure machine.

[0035] In an embodiment of the present invention, combining the creation characteristic dimension and the creative review index, and calculating the index creative level factor corresponding to the creative review index includes: Performing normalization processing on the creation characteristic dimension to obtain standard characteristic values; Based on the standard characteristic values, calculating the average characteristic value and the characteristic value standard deviation of the creation 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 standard deviation of the characteristic value, and calculate the index creative level factor corresponding to the creative review index through the following formula: ; where E represents the index creative level factor corresponding to the creative review index, represents the standard characteristic value corresponding to the b-th dimension in the creative 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, represents the standard creative threshold corresponding to the b-th dimension in the creative characteristic dimension.

[0036] It should be explained that the standard characteristic value is the expression value obtained after the normalization process of the creative characteristic dimension. The characteristic weight represents the importance degree corresponding to the creative characteristic dimension. The standard creative threshold is a standard value for measuring whether the creative characteristic dimension has sufficient creativity, which can be obtained by comparing with industry benchmarks. Study the excellent advertising cases widely recognized in the nail machine industry, analyze the performance of these advertisements in each creative characteristic dimension, and use them as reference standards to determine the threshold. For example, in the copywriting creativity dimension, analyze the advertising copy that can effectively convey the functional advantages of the nail machine and attract consumers, and count the creative techniques used therein (such as the application frequency of rhetorical devices such as metaphors and personifications, and the novel expression methods of product selling points), so as to determine a standard creative threshold for copywriting creativity. Further, the normalization process 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 index creative level factor according to the difference degree between the standard characteristic value and the standard creative threshold.

[0037] The present invention evaluates the design innovation index corresponding to the product promotion agency based on the index creative level factor, and can understand the creative innovation ability and level of the product promotion agency, thereby laying a foundation for the optimization of the subsequent advertising strategy of the nail machine product. It should be explained that the design innovation index represents the innovation degree and competitiveness of the product promotion agency in the creation of nail machine advertisements.

[0038] Furthermore, a higher index creative level factor (such as approaching 1): It is considered that the product promotion agency has a relatively high innovation index in the current advertising creation of the nail art machine. For example, in terms of the three aspects of advertising visual presentation, copywriting creation, and creative concept, it is generally relatively close to the creative 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 eyes of the target audience; the copywriting creation is vivid, interesting, and accurately conveys the product selling points; the creative concept is novel and unique, and can stand out among numerous nail art machine advertisements. A lower index creative level factor: If the index creative level factor is low, for example, it indicates that the creative innovation ability of the product promotion agency has significant deficiencies. It may mean that the advertising visual effect is mediocre and unable to arouse the interest of the audience; the copywriting creation is rigid and lacks appeal; the creative concept is old-fashioned and it is difficult to highlight the characteristics of the nail art machine product in the market.

[0039] Based on the index creative level factor, the present invention calculates the advertisement attraction index corresponding to the nail art machine product, so as to understand the attraction of the nail art machine product advertisement to the target audience, and further provide a basis for evaluating the advertisement placement effect. For example, an advertisement with a high index creative level factor usually has a relatively high advertisement attraction index, which can attract more potential customers to pay attention to the nail art machine product in market promotion, and improve the popularity and sales volume of the product; while an advertisement with a low index creative level factor has a low advertisement attraction index, and it is difficult to attract the attention of the audience in a highly competitive market, which is not conducive to the promotion and sales of the product. The specific calculation of the advertisement attraction index can be comprehensively determined according to the index creative level factor in combination with market research data, target audience preference models, etc.

[0040] In an embodiment of the present invention, the calculation of the advertisement attraction index corresponding to the nail art machine product includes: Collect the advertisement display images and advertisement interaction elements corresponding to the nail art machine product; Extract the advertisement display features in the advertisement display images, and analyze the advertisement visual eye-catching attributes corresponding to the nail art machine product according to the advertisement display features; Based on the advertisement interaction elements, analyze the advertisement interaction heat corresponding to the nail art machine product; Combine the advertisement visual eye-catching attributes and the advertisement interaction heat to calculate the advertisement attraction index corresponding to the nail art machine product.

[0041] Among them, the advertisement display image is the image corresponding to the nail art machine product for external display, the advertisement interaction element is the relevant element corresponding to the nail art machine product that can trigger user interaction with it, the advertisement display feature is the specific feature presented in the advertisement display image, the advertisement visual eye-catching attribute is the characteristic of the nail art machine product that can attract attention through visual presentation, and the advertisement interaction heat is the active degree shown by the nail art machine product in terms of user interaction.

[0042] Furthermore, the advertisement display images and advertisement interaction elements corresponding to the nail art machine products can be collected through web crawler technology; the advertisement display features in the advertisement display images can be extracted through image recognition and analysis algorithms, and according to the advertisement display features, the advertisement visual eye-catching attributes corresponding to the nail art machine products can be analyzed with the help of a preset visual evaluation model, such as a composition evaluation sub-model; based on the advertisement interaction elements, the advertisement interaction heat corresponding to the nail art machine products can be analyzed by using data statistics and analysis tools. When using data statistics and analysis tools to analyze the advertisement interaction heat corresponding to the nail art machine products, interaction data such as the number of likes, comments, shares, and clicks will be collected first. Then, data cleaning will be performed using data analysis software (such as data analysis libraries in Excel, Python, etc.) to remove invalid data. Next, statistical indicators such as the mean, median, and standard deviation will be calculated to compare the interaction data of advertisements of the same type of products, so as to intuitively present the interaction heat level of this nail art machine advertisement among the audience. The change trend of the interaction heat over time or on different platforms can also be more clearly displayed through data visualization means (such as bar charts, line charts), so as to comprehensively evaluate the interaction influence of the advertisement; combining the advertisement visual eye-catching attributes and the advertisement interaction heat, calculate the advertisement attraction index corresponding to the nail art machine products. Quantitatively score the advertisement visual eye-catching attributes and the advertisement interaction heat respectively, and rate them from 0 to 100 points. Then directly add the scores of the two, and the sum obtained is the advertisement attraction index corresponding to the nail art machine products, so as to comprehensively consider the overall attractiveness of the advertisement.

[0043] S3. Query the user browsing set data of the product promotion agency. The user browsing set data includes browsing information data and browsing behavior data. Extract the browsing behavior characteristics in the user browsing set data, evaluate the feature novelty corresponding to the browsing behavior characteristics, and combine the feature novelty and the browsing behavior characteristics to analyze the user browsing interest corresponding to the product promotion agency.

[0044] By extracting the browsing behavior characteristics in the user browsing set data, the present invention can accurately grasp the behavior pattern characteristics of users in the browsing process related to product promotion, laying a foundation for subsequent analysis of user browsing interest.

[0045] It should be explained that the user browsing set 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 the representative behavior pattern characteristics extracted from the user browsing operations, such as browsing speed, page switching frequency, click order of specific elements, etc. The feature novelty is a quantitative index to measure the uniqueness and novelty of the browsing behavior characteristics. Further, the user browsing set data can be obtained from the background database of the product promotion agency.

[0046] In an embodiment of the present invention, the extraction of the browsing behavior characteristics from the user browsing set data includes: Performing data parsing processing 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 the key behavior sequences in the behavior pattern data, and calculating the behavior sequence complexity corresponding to the product promotion agency based on the key behavior sequences; Extracting the behavior time interval information corresponding to the behavior pattern data, and calculating the behavior rhythm value corresponding to the product promotion agency based on the behavior time interval information; Generating the browsing behavior characteristics corresponding to the product promotion agency based on the behavior sequence complexity and the behavior rhythm value.

[0047] It should be explained that the target browsing data is a data form convenient for analysis obtained after parsing operations such as data format conversion and data cleaning on the user browsing set data. The behavior pattern data is part of the data in the target browsing data that reflects the user behavior rules. The key behavior sequence is a sequence of behavior combinations in the behavior pattern data that is of great significance for judging user behavior. The behavior sequence complexity represents the complexity of the user browsing behavior sequence. The behavior time interval information is the 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 according to the comparison between the average time interval and the preset standard time interval.

[0048] Furthermore, the parsing and processing of the user browsing set data can be achieved through data preprocessing tools. For example, data cleaning software can be used to remove duplicate or incorrect data, and data conversion tools can be used to unify data in different formats. The mining and processing of the behavior patterns of the target browsing data can be achieved through sequence pattern mining algorithms. For example, the AprioriAll algorithm can be used to mine frequently occurring behavior patterns. The identification of the key behavior sequences in the behavior pattern data can be achieved through 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 through 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) and the diameter of the graph (the longest shortest path). 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 achieved through 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; 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.

[0049] 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, thereby providing a basis for the subsequent analysis of the user browsing interest corresponding to the product promotion institution. It should be noted that the feature novelty represents the quantification value of the novelty degree corresponding to the browsing behavior characteristics.

[0050] In an embodiment of the present invention, the evaluation of the feature novelty corresponding to the browsing behavior characteristics includes: Performing feature decomposition processing on the browsing behavior characteristics to obtain a set of basic behavior elements; Selecting a subset of different behavior elements from the set of basic behavior elements and identifying the unique behavior attributes in the subset of different behavior elements; Based on the unique behavior attributes, calculating the uniqueness of the behavior attributes corresponding to the product promotion institution; Extracting the behavior occurrence frequency information corresponding to the subset of different behavior elements, and based on the behavior occurrence frequency information, calculating the behavior frequency deviation value corresponding to the product promotion institution; Based on the uniqueness of the behavior attribute and the behavior frequency deviation value, the novelty of the features corresponding to the product promotion organization is evaluated.

[0051] 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 of the basic behavior element set that is different from the common behavior elements, the unique behavior attribute is the behavior 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.

[0052] 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, dwell behavior, and scrolling behavior; a subset of differential 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 differential behavior element subset. The unique behavior attributes in the differential behavior element subset 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 behavior attribute and the common behavior 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 behavior attribute; the behavior occurrence frequency information corresponding to the subset of difference behavior 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 behavior frequency deviation value corresponding to the product promotion agency is: query the average occurrence frequency range of each difference behavior element under normal browsing conditions, and then calculate the deviation ratio of the occurrence frequency of the current difference behavior element and the range, and obtain the behavior frequency deviation value by combining the deviation ratios of all difference behavior elements; directly add the behavior attribute uniqueness and the behavior frequency deviation value, and evaluate the feature novelty corresponding to the product promotion agency according to the obtained result, for example, the behavior attribute uniqueness is 0.4, the behavior frequency deviation value is 0.3, and the sum is 0.7, then the feature novelty is high.

[0053] By combining the feature novelty and the browsing behavior features, the present invention analyzes the user browsing interests corresponding to the product promotion institution, can accurately locate niche or emerging interest points, and helps the product promotion institution to layout innovative promotion strategies in advance, breaking through the limitations of traditional promotion. It should be noted that the user browsing interests refer to the attention tendencies and preference characteristics of the users corresponding to the product promotion institution towards relevant products or services when browsing its displayed content. Further, by combining the feature novelty and the browsing behavior features, the user browsing interests corresponding to the product promotion institution are analyzed. When the feature novelty is relatively high and the browsing behavior features show that the user frequently delves deeply into 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 features focus on the browsing of common product functions, it indicates that the user's interests tend to basic product characteristics and conventional usage methods.

[0054] S4. Calculate the interaction coupling index between the browsing information data and the advertisement interaction elements, and analyze the placement suitability of the nail machine product in the product promotion institution by combining the user browsing interests and the interaction coupling index.

[0055] By calculating the interaction coupling index between the browsing information data and the advertisement interaction elements, the present invention can understand the user's attention degree to the advertisement through the interaction coupling index, improving the analysis accuracy of the subsequent placement suitability of the nail machine product in the product promotion institution. It should be noted that the interaction coupling index represents the degree of association between the browsing information data and the advertisement interaction elements, thereby facilitating the understanding of the user's attention degree to the advertisement.

[0056] In an embodiment of the present invention, the calculation of the interaction coupling index between the browsing information data and the advertisement interaction elements includes: Extract the information identifiers in the browsing information data, and extract the key information identifiers from the information identifiers; Semantically parse the key information identifiers and the advertisement interaction elements respectively to obtain the information identifier semantics and the interaction element semantics; Calculate the semantic association degree between the information identifier semantics and the interaction element semantics; Calculate the interaction coupling index between the browsing information data and the advertisement interaction elements according to the semantic association degree.

[0057] It should be noted that the information identifier is a symbol, label, etc. used to mark specific meanings or distinguishable parts in the browsing information data. The key information identifier is the part selected from the information identifiers that is closely related to and plays a key role in the advertisement interaction. The semantics of the information identifier is the meaning and concept represented by it obtained through semantic analysis of the key information identifier. The semantics of the interaction element is the result of semantic interpretation of the advertisement interaction element. The semantic correlation degree represents the degree of correlation between the semantics of the information identifier and the semantics of the interaction element at the semantic level.

[0058] Furthermore, the information identifiers in the browsing information data can be extracted through 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 the key information identifiers are screened out through a key identifier screening algorithm, such as a frequency-based screening algorithm. The key information identifier and the advertisement interaction element can be semantically parsed through a semantic analysis engine, and the semantic analysis engine can adopt a natural language processing toolkit such as NLTK or a deep learning-based semantic analysis model to obtain the semantics of the information identifier and the semantics of the interaction element. The calculation process of the semantic correlation degree between the semantics of the information identifier and the semantics of the interaction element is as follows: the semantics of the information identifier and the semantics of the interaction element 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, such as cosine similarity, is calculated to obtain the semantic correlation degree value. The semantic correlation degrees corresponding to the browsing information data are summed up to obtain the interaction coupling index between the browsing information data and the advertisement interaction element.

[0059] By combining the user's browsing interests and the interaction coupling index, the present invention analyzes the placement suitability of the nail machine product in the product promotion institution, and can understand the placement matching degree of the nail machine product in the product promotion institution, thereby providing an important basis for formulating the subsequent advertisement push strategy corresponding to the nail machine product. It should be noted that the placement suitability represents the placement suitability degree of the nail machine product in the product promotion institution. Furthermore, by combining the user's browsing interests and the interaction coupling index, the placement suitability of the nail machine product in the product promotion institution is analyzed. If the nail-related content frequently appears in the user's browsing interests and the interaction coupling index is high, it indicates that the nail machine advertisement matches well with the user's behavior, indicating that when placed in this promotion institution, it can accurately reach potential users, and users are likely to interact with the advertisement, and the placement suitability is good.

[0060] S5. Combine the placement adaptability, the design innovation index, and the advertisement attraction index to formulate an advertisement push strategy corresponding to the nail art machine product. Based on the advertisement push strategy, perform the push process of the nail art machine product in the product promotion agency to obtain a push result.

[0061] In the present invention, by combining the placement adaptability, the design innovation index, and the advertisement attraction index, an advertisement push strategy corresponding to the nail art machine product is formulated. Based on the advertisement push strategy, the push process of the nail art machine product in the product promotion agency is performed, significantly improving the accuracy and effectiveness of advertisement placement, thereby achieving the effect of improving the advertisement push of the intelligent nail art machine. It should be noted that the advertisement push strategy is an advertisement push method corresponding to the nail art machine product. Further, the process of formulating the advertisement push strategy corresponding to the nail art machine product is as follows: First, lock in the accurate target audience with potential interest in the nail art machine according to the placement adaptability. Then, referring to the design innovation index, integrate the unique design highlights of the nail art machine into the advertisement creativity and visual presentation. Finally, combine the advertisement attraction index, select high-traffic and audience-matched placement agencies, and determine the best placement time period, thereby constructing a comprehensive and highly targeted advertisement push strategy.

[0062] Compared with the problems described in the background art, based on the advertisement design criteria, the present invention formulates creative review indicators corresponding to the design team resources, and can obtain the quality evaluation criteria for the subsequent designed advertisements of the design team resources, thereby laying a foundation for subsequent evaluation of the effectiveness and feasibility of advertisement creativity. Further, by analyzing the creative characteristic dimensions corresponding to the nail art machine product based on the product design data, the present invention can obtain the characteristic performances of the nail art machine advertisement creation in different aspects, thereby improving the calculation accuracy of the index creative level factor corresponding to the creative review indicators. By extracting the browsing behavior characteristics in the user browsing set data, the present invention can accurately grasp the behavior pattern characteristics of users during the browsing process related to product promotion, laying a foundation for subsequent analysis of user browsing interests. Further, by calculating the interaction coupling index between the browsing information data and the advertisement interaction elements, the present invention can understand the degree of user attention to the advertisement through the interaction coupling index, improving the analysis accuracy of the placement adaptability of the subsequent nail art machine product in the product promotion agency. Further, by combining the placement adaptability, the design innovation index, and the advertisement attraction index, the present invention formulates an advertisement push strategy corresponding to the nail art machine product. Based on the advertisement push strategy, the push process of the nail art machine product in the product promotion agency is performed, significantly improving the accuracy and effectiveness of advertisement placement, thereby achieving the effect of improving the advertisement push of the intelligent nail art machine. Therefore, the intelligent nail art machine advertisement push method and system provided by the embodiments of the present invention can achieve the best effect of intelligent nail art machine advertisement push.

[0063] Example 2: As Figure 2 shown, it is a functional module diagram of an intelligent nail art machine advertisement push system of the present invention.

[0064] The intelligent nail art machine advertisement push system 200 of the present invention can be installed in an electronic device. According to the functions achieved, the intelligent nail art machine advertisement push system may include an index formulation module 201, an advertisement attraction index calculation module 202, a user browsing interest analysis module 203, a placement suitability analysis module 204, and an advertisement push module 205. The modules of the present invention may also be referred to as units, which refer to a series of computer program segments that can be executed by a processor of an electronic device and can complete fixed functions, and are stored in the memory of the electronic device.

[0065] In the embodiments of the present invention, the functions of each module / unit are as follows: The index formulation module 201 is used to obtain the nail art machine products to be promoted and the product promotion agencies, query the design team resources in the product promotion agencies, determine the advertisement design criteria corresponding to the design team resources, and formulate the creative review indicators corresponding to the design team resources based on the advertisement design criteria; The advertisement attraction index calculation module 202 is used to collect the product design data of the nail art machine products during the advertisement design process, analyze the creative characteristic dimensions corresponding to the nail art machine products based on the product design data, combine the creative characteristic dimensions and the creative review indicators, calculate the index creative level factors corresponding to the creative review indicators, evaluate the design innovation index corresponding to the product promotion agencies based on the index creative level factors, and calculate the advertisement attraction index corresponding to the nail art machine products; The user browsing interest analysis module 203 is used to query the user browsing set data of the product promotion agencies. The user browsing set data includes browsing information data and browsing behavior data, extract the browsing behavior characteristics in the user browsing set data, evaluate the novelty of the browsing behavior characteristics, and analyze the user browsing interest corresponding to the product promotion agencies by combining the novelty and the browsing behavior characteristics; The placement suitability analysis module 204 is used to calculate the interaction coupling index between the browsing information data and the advertisement interaction elements, and analyze the placement suitability of the nail art machine products in the product promotion agencies by combining the user browsing interest and the interaction coupling index; The advertisement pushing module 205 is configured to formulate an advertisement pushing strategy corresponding to the nail art machine product by combining the placement adaptability, the design innovation index, and the advertisement attraction index, and perform pushing processing of the nail art machine product in the product promotion agency based on the advertisement pushing strategy to obtain a pushing result.

[0066] Specifically, each module in the intelligent nail art machine advertisement pushing system 200 in the embodiments of the present invention adopts the same technical means as those in the Figure 1 intelligent nail art machine advertisement pushing method described above, and can produce the same technical effects, which will not be elaborated here.

[0067] For those skilled in the art, it is obvious that the present invention is not limited to the details of the above exemplary embodiments, and without departing from the spirit or basic characteristics of the present invention, the present invention can be implemented in other specific forms.

[0068] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit them. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical solutions of the present invention can be modified or equivalently replaced 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 machine, characterized in that: The method comprises: Obtain the nail machine products to be promoted and the 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; 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 indicator by combining the creative characteristic dimension and the creative review indicator, 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; querying user browsing collection data of the product promotion agency, the user browsing collection data including browsing information data and browsing behavior data, extracting browsing behavior features from the user browsing collection data, evaluating feature novelty corresponding to the browsing behavior features, and combining the feature novelty and the browsing behavior features to analyze the user browsing interests corresponding to the product promotion agency; Calculating the interactive coupling index between the browsing information data and the advertisement interactive element, and analyzing the suitability of the nail machine product for placement in the product promotion organization in combination with the user browsing interest and the interactive coupling index; In combination with the delivery adaptability, the design innovation index and the advertising attraction index, an advertising push strategy corresponding to the nail machine product is formulated, and based on the advertising push strategy, the push processing of the nail machine product in the product promotion organization is executed to obtain a push result.

2. The method for pushing advertisements for a smart nail machine according to claim 1, characterized in that: The step of formulating the creative review indicators corresponding to the design team resources based on the advertising design criteria includes: Conducting content analysis on the advertising design guidelines to obtain key points of the guidelines; Interpret the key points of the criteria and obtain the connotation of the criteria; Based on the content of the criteria, identify the core criteria points in the criteria points; 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 machine according to claim 1, characterized in that: The step of analyzing the creative characteristic dimensions corresponding to the nail art machine product based on the product design data includes: Sorting 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; Perform dimensional 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 machine according to claim 3, characterized in that: The calculating of the correlation coefficient between the design themes includes: Performing value assignment processing on the design theme to obtain a theme quantization value, and calculating a theme expectation value corresponding to the design theme based on the theme quantization value; Combining the topic quantification value and the topic expectation value, the correlation coefficient between the design topics is calculated by the following formula: ； Among them, A represents the correlation coefficient between design themes, Indicates the topic quantization value corresponding to the a-th topic in the design topic. It represents the expected value of the theme corresponding to the ath theme in the design theme. Both a and a+1 represent the serial number corresponding to the design theme. Indicates the topic quantization value corresponding to the a+1th topic in the design topic. 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.

5. The method for pushing advertisements for a smart nail machine according to claim 1, characterized in that: The combining the creative characteristic dimension and the creative review indicator to calculate the indicator creative level factor corresponding to the creative review indicator includes: Normalizing the creation characteristic dimension to obtain a standard characteristic value; Based on the standard characteristic value, calculating the average characteristic value and characteristic value standard deviation of the creative characteristic dimension; The characteristic weight corresponding to the creative characteristic dimension is calculated, and the indicator creative level factor corresponding to the creative review indicator is calculated by combining the characteristic weight, the average characteristic value, the standard characteristic value and the standard deviation of the characteristic value through 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 feature value of the creative feature 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 feature dimension.

6. The method for pushing advertisements for a smart nail machine according to claim 1, characterized in that: The calculating of the advertising attraction index corresponding to the nail art machine product includes: Collecting advertising display images and advertising interactive elements corresponding to the nail art machine product; Extracting advertisement display features from the advertisement display image, and analyzing the visual eye-catching attributes of the advertisement corresponding to the nail art machine product according to the advertisement display features; Based on the advertisement interaction elements, analyzing the advertisement interaction heat corresponding to the nail machine product; The advertisement attraction index corresponding to the nail machine product is calculated by combining the advertisement visual eye-catching attribute and the advertisement interaction heat.

7. The method for pushing advertisements for a smart nail machine according to claim 1, characterized in that: The extracting 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 sequence 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 organization 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.

8. The method for pushing advertisements for a smart nail machine according to claim 1, characterized in that: The evaluating 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 behavior attribute, calculating the uniqueness of the behavior attribute corresponding to the product promotion organization; Extracting behavior occurrence frequency information corresponding to the difference behavior element subset, and calculating the behavior frequency deviation value corresponding to the product promotion organization based on the behavior occurrence frequency information; Based on the uniqueness of the behavior attribute and the behavior frequency deviation value, the novelty of the features corresponding to the product promotion organization is evaluated.

9. The method for pushing advertisements for a smart nail machine according to claim 1, characterized in that: The calculating the interaction coupling index between the browsing information data and the advertisement interaction element includes: Extracting information identifiers from the browsing information data, and extracting key information identifiers from the information identifiers; Semantically parsing the key information identifier and the advertisement interactive element respectively to obtain information identifier semantics and interactive element semantics; Calculating the semantic association between the information identification semantics and the interaction element semantics; An interaction coupling index between the browsing information data and the advertisement interaction element is calculated according to the semantic association.

10. An intelligent nail machine advertising push system, characterized in that: The system comprises: An indicator formulation module is used to obtain nail machine products to be promoted and product promotion organizations, and 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; An advertising attraction index calculation module is used to collect product design data of the nail art machine product during the advertising design process, analyze the creative characteristic dimension corresponding to the nail art machine product based on the product design data, calculate the indicator creative level factor corresponding to the creative review indicator by combining the creative characteristic dimension and the creative review indicator, 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; A user browsing interest analysis module is used to query the user browsing collection data of the product promotion agency, the user browsing collection data includes browsing information data and browsing behavior data, extract browsing behavior features in 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; A delivery suitability analysis module, used to calculate the interactive coupling index between the browsing information data and the advertisement interactive element, and analyze the delivery suitability of the nail machine product in the product promotion organization in combination with the user browsing interest and the interactive coupling index; The advertising push module is used to formulate an advertising push strategy corresponding to the nail 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 machine product in the product promotion organization to obtain the push result.

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