Promotion method and system based on agricultural product technology service

Abstract

The invention relates to the technical field of technical service promotion, in particular to a promotion method and system based on agricultural product technical services, and the method comprises the steps: periodically obtaining promotion data and feedback data; obtaining the synchronization frequency of the technology label corresponding to the single promotion article in a preset time period, and determining a preset promotion exposure based on the synchronization frequency; within a preset first promotion time period, determining an adjustment mode of a preset promotion exposure based on the preset promotion exposure corresponding to a single promotion article and the feedback data; within a preset second promotion time period, based on the matching degree of the promotion technology labels and the classification feature saliency, the promotion value of the corresponding classification is evaluated; generating a relation model based on the plurality of technology tags under the single classification and the corresponding historical promotion data and historical feedback data; according to the method, the popularization efficiency of agricultural product technical services is improved by improving the analysis accuracy of the popularization data and the feedback data of the popularization article.

Description

Technical Field

[0001] The present invention relates to the technical field of technical service promotion, and in particular to a promotion method and system based on agricultural product technical services. Background Art

[0002] my country is a big agricultural country, and agricultural products have always been the main source of our economy. The promotion of advanced agricultural technology can help farmers learn and apply advanced agricultural technology, improve crop yields and quality, and thus increase our country's economic growth. However, traditional agricultural product technical service promotion is usually carried out through traditional brochures, training meetings, etc., with low efficiency in information transmission, making it difficult to cover a wide range of farmers.

[0003] China Patent Application Publication No.: CN118229355B discloses a promotion method and system based on agricultural product technical services. The method includes the following steps: obtaining and dividing sensor data of agricultural product stations to obtain greenhouse area sensor data and processing area sensor data; analyzing according to greenhouse area sensor data to obtain agricultural product yield prediction data and agricultural product planting quality data; analyzing according to processing area sensor data to obtain agricultural product processing residue data and agricultural product processing yield prediction data; obtaining and sorting agricultural product station order data to obtain agricultural product planting sorting data, and evaluating to obtain order delivery timeliness data; evaluating based on agricultural product planting quality data, agricultural product processing residue data and order delivery timeliness data to obtain agricultural product competitiveness data; analyzing agricultural product station order data to obtain customer agricultural product service preference data. The invention can improve the safety of agricultural products.

[0004] It can be seen that the existing technology has the problem of insufficient accuracy in analyzing the promotion data and feedback data of promotion articles, which leads to the inability to select effective promotion methods, resulting in poor promotion effect and low efficiency of agricultural product technical services. Summary of the invention

[0005] To this end, the present invention provides a promotion method and system based on agricultural product technical services to overcome the problem in the prior art that the promotion data and feedback data of promotion articles are not accurately analyzed, resulting in the inability to select effective promotion methods, leading to poor promotion effect and low efficiency of agricultural product technical services.

[0006] To achieve the above object, the present invention provides a promotion method based on agricultural product technical services, comprising:

[0007] Periodically obtain promotion data and feedback data. Promotion data includes the publication time of promotion articles, technical tags of promotion articles and preset promotion exposure. Feedback data includes click data of promotion articles and the frequency of technical tags in the same period.

[0008] Obtain the concurrent frequency of the technical tags corresponding to a single promotion article within a preset period of time, and determine a preset promotion exposure based on the concurrent frequency;

[0009] In a preset first promotion period, determining an adjustment method of a preset promotion exposure amount based on the preset promotion exposure amount corresponding to a single promotion article and the feedback data;

[0010] In the preset second promotion period, the promotion articles are classified based on their click data, a promotion feedback curve is determined based on the classified click data, a matching degree of the promotion technical label is determined based on the promotion duration at which the characteristic points of the curve are located, and a classification feature significance is determined based on the consistency between the promotion feedback curve after each classification and the classification feature;

[0011] Under a single classification, a promotion value of the classification corresponding to the matching degree and the saliency evaluation;

[0012] Obtain promotion values ​​under each category, and determine several technical tags under a single category based on the promotion values;

[0013] Data training is performed based on several technical tags under a single category and the corresponding historical promotion data and historical feedback data to generate a relationship model between publication time, technical tags and preset promotion exposure;

[0014] The promotional articles to be promoted are obtained, the technical tags are obtained, and the corresponding publishing time and the preset promotion exposure are determined based on the relationship model.

[0015] Furthermore, determining the preset promotion exposure based on the concurrent frequency includes determining the promotion exposure based on an average value of the technical tags corresponding to single promotion articles with the same concurrent frequency within a preset time period.

[0016] Furthermore, the method for adjusting the preset promotion exposure amount based on the preset promotion exposure amount corresponding to a single promotion article and the feedback data includes adjusting the preset promotion exposure amount by an adjustment coefficient based on a comparison result in which the difference between the number of clicks on the promotion article in the preset first promotion period and the preset promotion exposure amount is greater than or equal to the preset difference.

[0017] Furthermore, the difference between the number of clicks on the promotional article during the preset first promotion period and the preset promotion exposure is the difference between the preset promotion exposure and the number of clicks on the promotional article, and the preset difference is determined based on the historical average of the difference between the number of clicks on the promotional article with the same preset promotion exposure and the preset promotion exposure.

[0018] Further, determining the matching degree of the promotion technology label based on the promotion duration of the characteristic point of the curve includes determining the matching degree of the promotion technology label according to the ratio of the promotion duration of the rising curve to the total promotion duration.

[0019] Furthermore, determining the classification feature significance based on the consistency between the promotion feedback curve after each classification and the classification feature includes determining the classification feature significance based on the ratio of the number of promotion feedback curves after each classification that have similar change trends under different classification features to the total number of promotion feedback curves.

[0020] Further, under a single category, evaluating the promotion value of the corresponding category based on the matching degree and the significance includes calculating the promotion value of the corresponding category according to the matching degree and the significance.

[0021] Furthermore, obtaining the promotion value under each category and determining a number of technical tags under a single category based on the promotion value includes determining a number of technical tags under a single category according to categories whose promotion values ​​are greater than or equal to a preset promotion value.

[0022] Furthermore, the step of generating a relationship model between publication time, technical tags and preset promotion exposure includes:

[0023] Collect historical promotion data and feedback data, including publication time, technical tags, and actual promotion exposure;

[0024] Split the dataset into training and test sets, usually using cross-validation or hold-out methods;

[0025] Use the training set to train the model and optimize the model parameters to fit the data;

[0026] Use the test set to evaluate the performance of the model, compare the predicted results with the actual results, and evaluate the accuracy and generalization ability of the model.

[0027] A system applied to the promotion method based on agricultural product technical services, comprising:

[0028] The data acquisition module is used to periodically acquire promotion data and feedback data. The promotion data includes the publication time of the promotion article, the technical tags of the promotion article and the preset promotion exposure. The feedback data includes the click data of the promotion article and the frequency of the technical tags during the same period.

[0029] A promotion exposure determination module, which is connected to the data acquisition module and is used to obtain the concurrent frequency of the technical tags corresponding to a single promotion article within a preset period of time, and determine the preset promotion exposure based on the concurrent frequency;

[0030] A promotion exposure adjustment module, which is connected to the promotion exposure determination module and is used to determine an adjustment method for the preset promotion exposure based on the preset promotion exposure corresponding to a single promotion article and the feedback data within a preset first promotion period;

[0031] A promotion value evaluation module, which is connected to the promotion exposure adjustment module, and is used to evaluate the promotion value of the corresponding classification based on the matching degree of the promotion technical label determined based on the promotion duration of the curve feature point and the classification feature significance determined based on the consistency between the promotion feedback curve after each classification and the classification feature;

[0032] The relationship model generation module is connected to the promotion value evaluation module and is used to perform data training based on a number of technical tags under a single category and the corresponding historical promotion data and historical feedback data to generate a relationship model between publication time, technical tags and preset promotion exposure.

[0033] Compared with the prior art, the beneficial effect of the present invention is that the present invention can quantify the promotion of different technical labels by understanding the frequency of the technical labels corresponding to a single promotion article in a preset period of time. Determining the preset promotion exposure based on these concurrent frequencies is helpful to evaluate the promotion effect of different technical labels. By analyzing which labels appear frequently in a specific period of time and adjusting the promotion exposure accordingly, the promotion effect and conversion rate are improved. The above method improves the accuracy of the analysis of the promotion data and feedback data of the promotion articles, and then selects effective promotion methods to improve the promotion effect and efficiency of agricultural product technology services.

[0034] Furthermore, the present invention can more accurately control the promotion exposure amount by determining whether to adjust the preset promotion exposure amount according to the comparison result between the difference between the click volume and the preset promotion exposure amount and the preset difference, ensuring that the resources are more effectively used on the articles that generate actual clicks, which helps to optimize the promotion strategy, improve the click-through rate and conversion rate, and dynamically adjust the preset promotion exposure amount by adjusting the coefficient, so as to more effectively allocate promotion resources. In this way, it is possible to avoid investing too many resources in articles with low click volume, but to concentrate resources on articles with better potential effects, thereby improving the overall promotion effect. The above method improves the accuracy of the analysis of the promotion data and feedback data of the promotion articles, and then selects an effective promotion method to improve the promotion effect and efficiency of agricultural product technical services.

[0035] Furthermore, the present invention can more accurately control the promotion exposure amount by determining whether to adjust the preset promotion exposure amount according to the comparison result between the difference between the click volume and the preset promotion exposure amount and the preset difference, ensuring that the resources are more effectively used on the articles that generate actual clicks, which helps to optimize the promotion strategy, improve the click-through rate and conversion rate, and dynamically adjust the preset promotion exposure amount by adjusting the coefficient, so as to more effectively allocate promotion resources. In this way, it is possible to avoid investing too many resources in articles with low click volume, but to concentrate resources on articles with better potential effects, thereby improving the overall promotion effect. The above method improves the accuracy of the analysis of the promotion data and feedback data of the promotion articles, and then selects an effective promotion method to improve the promotion effect and efficiency of agricultural product technical services.

[0036] Furthermore, the present invention can help to gain a deeper understanding of the characteristics and behavior patterns of user groups by determining the prominence of classification features. Based on the analysis of the prominence of classification features, more detailed user analysis can be performed, key features can be identified, and promotion strategies can be formulated in a targeted manner. By determining the prominence of classification features, promotion strategies can be adjusted according to the degree of influence of different features on promotion feedback. This helps to achieve personalized promotion, ensure that the pushed content is more in line with the interests and needs of users, and improve user participation and conversion rate.

[0037] Furthermore, the present invention can more accurately determine the promotion value under a specific classification by evaluating the matching degree and the prominence. This helps to accurately locate the target audience, ensure that the promotion content is more in line with their interests and needs, and improve the click-through rate and conversion rate. The promotion value of the classification based on the matching degree and the prominence can help optimize the promotion strategy. Investing more resources in the classification with high matching degree and high prominence can improve the promotion effect. The promotion value of the classification based on the matching degree and the prominence can realize personalized promotion strategy and improve the promotion effect.

[0038] Furthermore, the present invention can guide the optimization of promotional content by determining the technical tags under a single category. According to whether the promotion value is greater than or equal to a preset promotion value, the corresponding technical tags can be selected to adjust the style, form or focus of the promotional content to make it more in line with the needs of the target audience, thereby improving the attractiveness of the content and the click-through rate. Determining the technical tags based on the promotion value helps to implement personalized promotion strategies. Different technical tags can be customized for a single category to better meet the needs of the audience in that category and achieve personalized promotion.

[0039] Furthermore, the present invention performs data training on several technical tags under a single category and the corresponding historical promotion data and historical feedback data to generate a relationship model between publication time, technical tags and preset promotion exposure. By inputting the technical tags of the articles to be promoted into the relationship model, the corresponding publication time and preset promotion exposure can be quickly obtained. The above method improves the accuracy of the analysis of the promotion data and feedback data of the promotion articles, and then selects effective promotion methods to improve the promotion effect and efficiency of agricultural product technical services. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Figure 1 A flowchart of a promotion method based on agricultural product technical services according to an embodiment of the present invention;

[0041] Figure 2 A flowchart of determining whether a preset promotion exposure amount needs to be adjusted based on the promotion method of agricultural product technical services according to an embodiment of the present invention;

[0042] Figure 3 It is a structural schematic diagram of a promotion system based on agricultural product technical services according to an embodiment of the present invention. DETAILED DESCRIPTION

[0043] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; 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.

[0044] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the protection scope of the present invention.

[0045] It should be noted that, in the description of the present invention, terms such as "up", "down", "left", "right", "inside" and "outside" indicating directions or positional relationships are based on the directions or positional relationships shown in the drawings. This is merely for the convenience of description and does not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation. Therefore, it cannot be understood as a limitation on the present invention.

[0046] In addition, it should be noted that in the description of the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0047] See also Figure 1-Figure 2 As shown, Figure 1 A flowchart of a promotion method based on agricultural product technical services according to an embodiment of the present invention; Figure 2 The present invention is a flowchart of a promotion method for agricultural product technical services according to an embodiment of the present invention for determining whether a preset promotion exposure amount needs to be adjusted.

[0048] The promotion method based on agricultural product technical services in the embodiment of the present invention includes:

[0049] Step S1, periodically acquiring promotion data and feedback data, the promotion data including the publication time of the promotion article, the technical tags of the promotion article and the preset promotion exposure, and the feedback data including the click data of the promotion article and the frequency of the technical tags in the same period;

[0050] Step S2, obtaining the concurrent frequency of the technical tags corresponding to a single promotion article within a preset period of time, and determining a preset promotion exposure based on the concurrent frequency;

[0051] Step S3, determining an adjustment method of the preset promotion exposure amount based on the preset promotion exposure amount corresponding to a single promotion article and the feedback data within the preset first promotion period;

[0052] Step S4, within the preset second promotion period, classification is performed based on the click data of the promotion articles, a promotion feedback curve is determined based on the classified click data, a matching degree of the promotion technical label is determined based on the promotion duration of the curve feature point, and a classification feature significance is determined based on the consistency between the promotion feedback curve after each classification and the classification feature;

[0053] Step S5, under a single classification, evaluating the promotion value of the corresponding classification based on the matching degree and the saliency;

[0054] Step S6, obtaining promotion values ​​under each category, and determining a number of technical tags under a single category based on the promotion values;

[0055] Step S7, performing data training based on a number of technical tags under a single category and corresponding historical promotion data and historical feedback data, to generate a relationship model between publication time, technical tags and preset promotion exposure;

[0056] Step S8, obtaining the promotional article to be promoted, obtaining the technical tag, and determining the corresponding publication time and preset promotion exposure based on the relationship model.

[0057] Specifically, in step S2, determining the preset promotion exposure based on the concurrent frequency includes determining the average promotion exposure of the technical tags corresponding to the single promotion articles with the same concurrent frequency within the preset time period.

[0058] In the embodiment of the present invention, the concurrent frequency of the technical tags corresponding to the single promotional article within the preset time period is the ratio of the number of times the technical tags corresponding to the promotional article appear within the preset time period to the total number of times all technical tags appear. The preset time period can be set to 30 days.

[0059] The present invention can quantify the promotion of different technical labels by understanding the frequency of the technical labels corresponding to a single promotion article in a preset period of time. Determining the preset promotion exposure based on these concurrent frequencies is helpful to evaluate the promotion effect of different technical labels, and by analyzing which labels appear frequently in a specific period of time, and adjusting the promotion exposure accordingly, the promotion effect and conversion rate are improved. The above method improves the accuracy of the analysis of the promotion data and feedback data of the promotion article, and then selects an effective promotion method to improve the promotion effect and efficiency of agricultural product technical services.

[0060] Specifically, in step S3, within the preset first promotion period, when determining the adjustment method of the preset promotion exposure amount based on the preset promotion exposure amount corresponding to a single promotion article and the feedback data, the adjustment method of the preset promotion exposure amount is determined according to the comparison result of the difference N between the click volume of the promotion article within the preset first promotion period and the preset promotion exposure amount and the preset difference N0;

[0061] When N≥N0, determine to adjust the preset promotion exposure N1 by the adjustment coefficient K;

[0062] When N<N0, determine not to adjust the preset promotion exposure amount;

[0063] Among them, the value of the preset difference N0 is the historical average of the number of clicks on the promotional articles with the same preset promotional exposure and the difference between the preset promotional exposure, but the above value is not limited to this, and technical personnel in this field can also adjust the value according to actual needs.

[0064] In the embodiment of the present invention, the preset first promotion period can be selected as 10 days, and the difference between the click volume of the promotion article and the preset promotion exposure volume in the preset first promotion period is the difference between the preset promotion exposure volume and the click volume of the promotion article.

[0065] Specifically, the adjustment coefficient K is calculated and set by the following formula:

[0066]

[0067] The adjusted preset promotion exposure amount N1' is set to N1'=K×N1.

[0068] The present invention determines whether to adjust the preset promotion exposure amount according to the comparison result between the difference between the click amount and the preset promotion exposure amount and the preset difference, and can more accurately control the promotion exposure amount, ensure that the resources are more effectively used on the articles that generate actual clicks, help optimize the promotion strategy, improve the click-through rate and conversion rate, and dynamically adjust the preset promotion exposure amount by adjusting the coefficient, so as to more effectively allocate promotion resources. In this way, it is possible to avoid investing too many resources in articles with low clicks, but to concentrate resources on articles with better potential effects, improve the overall promotion effect, and improve the accuracy of the analysis of the promotion data and feedback data of the promotion articles through the above method, so as to select effective promotion methods to improve the promotion effect and efficiency of agricultural product technical services.

[0069] Specifically, in step S4, determining the matching degree of the promotion technology label based on the promotion duration of the curve feature point includes determining the matching degree M of the promotion technology label according to the ratio T0 of the rising promotion duration T of the curve to the total promotion duration.

[0070] The classification based on click data of the promotional article in the embodiment of the present invention includes but is not limited to "classification according to the number of clicks, classification according to the click time, and classification according to the click position", and the promotion time where the characteristic point of the curve is located includes the promotion time when the curve rises, and the characteristic point of the curve is the turning point where the curve changes from a downward trend to an upward trend.

[0071] The present invention classifies the click data based on the promotion articles within a preset second promotion period, and draws a promotion feedback curve according to the classified click data. The promotion feedback curve can reveal the trend of click volume changes at different time points, and help determine the user's preference for the promotion content. According to the promotion duration where the characteristic points of the curve are located, the promotion strategy can be adjusted and content suitable for different user groups can be pushed in a targeted manner to achieve personalized promotion. By drawing a promotion feedback curve based on the click data, the user's reaction to the promotion content can be better understood. The matching degree of the promotion technology label is determined according to the promotion duration where the characteristic points of the curve are located, and the promotion content can be optimized. The above method improves the accuracy of the analysis of the promotion data and feedback data of the promotion articles, and then selects an effective promotion method to improve the promotion effect and efficiency of agricultural product technical services.

[0072] Specifically, in step S4, the determination of the classification feature significance based on the consistency between the promotion feedback curve after each classification and the classification feature includes determining the classification feature significance H according to the ratio of the number of promotion feedback curves Y with similar change trends under different classification features after each classification to the total number of promotion feedback curves Y0.

[0073] In the embodiment of the present invention, the preset second promotion period can be selected as 20 days. The consistency between the promotion feedback curve after each classification and the classification characteristics is the number of promotion feedback curves after each classification that have similar change trends under different classification characteristics. The similar change trends include similar change directions, amplitudes or shapes under different classification characteristics.

[0074] The present invention can help to deeply understand the characteristics and behavior patterns of user groups by determining the classification feature significance. Based on the analysis of the classification feature significance, more detailed user analysis can be carried out, key features can be identified and targeted promotion strategies can be formulated. By determining the classification feature significance, the promotion strategy can be adjusted according to the degree of influence of different features on promotion feedback. This helps to achieve personalized promotion, ensure that the pushed content is more in line with the interests and needs of users, and improve user participation and conversion rate.

[0075] Specifically, in step S5, evaluating the promotion value of the corresponding classification based on the matching degree and the saliency under a single classification includes calculating the promotion value G of the corresponding classification according to the matching degree and the saliency.

[0076] Specifically, the promotion value G is calculated by the following formula:

[0077]

[0078] Among them, T represents the promotion time of the rising curve, T0 represents the total promotion time, α represents the influence coefficient of matching degree on the promotion value, and its value is preferably 0.46, Y represents the number of promotion feedback curves with similar change trends under different classification characteristics after each classification, Y0 represents the total number of promotion feedback curves, and β represents the influence coefficient of significance on the promotion value, and its value is preferably 0.54.

[0079] The present invention can more accurately determine the promotion value under a specific classification by evaluating the matching degree and the prominence. This helps to accurately locate the target audience, ensure that the promotion content is more in line with their interests and needs, and improve the click-through rate and conversion rate. The promotion value of the classification based on the matching degree and the prominence evaluation can help optimize the promotion strategy. Investing more resources in the classification with high matching degree and high prominence can improve the promotion effect. The promotion value of the classification based on the matching degree and the prominence evaluation can realize personalized promotion strategy and improve the promotion effect.

[0080] Specifically, in step S6, obtaining the promotion value under each category and determining a number of technical labels under a single category based on the promotion value includes determining a number of technical labels under a single category according to a category whose promotion value G is greater than or equal to a preset promotion value G0.

[0081] The present invention can guide the optimization of promotional content by determining the technical tags under a single category. According to whether the promotion value is greater than or equal to a preset promotion value, the corresponding technical tags can be selected to adjust the style, form or focus of the promotional content to make it more in line with the needs of the target audience, thereby improving the attractiveness of the content and the click-through rate. Determining the technical tags based on the promotion value helps to realize personalized promotion strategies. Different technical tags can be customized for a single category to better meet the needs of the audience in that category and realize personalized promotion.

[0082] In the embodiment of the present invention, the value range of the preset promotion value G0 is set to 0.6-1, and the value of the preset promotion value G0 is preferably 0.7, but the above value is not limited thereto, and those skilled in the art may also adjust the value according to actual needs.

[0083] Specifically, in step S7, the step of generating a relationship model between publication time, technical tags and preset promotion exposure includes:

[0084] Collect historical promotion data and feedback data, including publication time, technical tags, and actual promotion exposure;

[0085] Split the dataset into training and test sets, usually using cross-validation or hold-out methods;

[0086] Use the training set to train the model and optimize the model parameters to fit the data;

[0087] Use the test set to evaluate the performance of the model, compare the predicted results with the actual results, and evaluate the accuracy and generalization ability of the model.

[0088] Specifically, in step S8, the promotional article to be promoted is obtained, the technical tag is obtained, and the technical tag is input into the relationship model to determine the corresponding publication time and the preset promotion exposure.

[0089] The present invention performs data training on several technical labels under a single category and the corresponding historical promotion data and historical feedback data to generate a relationship model between publication time, technical labels and preset promotion exposure. By inputting the technical labels of the articles to be promoted into the relationship model, the corresponding publication time and preset promotion exposure can be quickly obtained. The above method improves the accuracy of the analysis of the promotion data and feedback data of the promotion articles, and then selects effective promotion methods to improve the promotion effect and efficiency of agricultural product technical services.

[0090] See also Figure 3 As shown, Figure 3 It is a structural schematic diagram of a promotion system based on agricultural product technical services according to an embodiment of the present invention.

[0091] Specifically, a system applied to the promotion method based on agricultural product technical services includes:

[0092] The data acquisition module is used to periodically acquire promotion data and feedback data. The promotion data includes the publication time of the promotion article, the technical tags of the promotion article and the preset promotion exposure. The feedback data includes the click data of the promotion article and the frequency of the technical tags during the same period.

[0093] A promotion exposure determination module, which is connected to the data acquisition module and is used to obtain the concurrent frequency of the technical tags corresponding to a single promotion article within a preset period of time, and determine the preset promotion exposure based on the concurrent frequency;

[0094] A promotion exposure adjustment module, which is connected to the promotion exposure determination module and is used to determine an adjustment method for the preset promotion exposure based on the preset promotion exposure corresponding to a single promotion article and the feedback data within a preset first promotion period;

[0095] A promotion value evaluation module, which is connected to the promotion exposure adjustment module, and is used to evaluate the promotion value of the corresponding classification based on the matching degree of the promotion technical label determined based on the promotion duration of the curve feature point and the classification feature significance determined based on the consistency between the promotion feedback curve after each classification and the classification feature;

[0096] The relationship model generation module is connected to the promotion value evaluation module and is used to perform data training based on a number of technical tags under a single category and the corresponding historical promotion data and historical feedback data to generate a relationship model between publication time, technical tags and preset promotion exposure.

[0097] So far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

[0098] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A promotion method based on agricultural product technical services, characterized in that: include: Periodically obtain promotion data and feedback data. Promotion data includes the publication time of promotion articles, technical tags of promotion articles and preset promotion exposure. Feedback data includes click data of promotion articles and the frequency of technical tags in the same period. Obtain the concurrent frequency of the technical tags corresponding to a single promotion article within a preset period of time, and determine a preset promotion exposure based on the concurrent frequency; In a preset first promotion period, determining an adjustment method of a preset promotion exposure amount based on the preset promotion exposure amount corresponding to a single promotion article and the feedback data; In the preset second promotion period, the promotion articles are classified based on their click data, a promotion feedback curve is determined based on the classified click data, a matching degree of the promotion technical label is determined based on the promotion duration of the curve feature point, and a classification feature significance is determined based on the consistency between the promotion feedback curve after each classification and the classification feature; Under a single classification, a promotion value of the classification corresponding to the matching degree and the saliency evaluation; Obtain promotion values ​​under each category, and determine several technical tags under a single category based on the promotion values; Data training is performed based on several technical tags under a single category and the corresponding historical promotion data and historical feedback data to generate a relationship model between publication time, technical tags and preset promotion exposure; The promotional articles to be promoted are obtained, the technical tags are obtained, and the corresponding publishing time and the preset promotion exposure are determined based on the relationship model.

2. The promotion method based on agricultural product technical services according to claim 1, characterized in that: Determining the preset promotion exposure based on the concurrent frequency includes determining the promotion exposure based on the average value of the technical tags corresponding to the single promotion articles with the same concurrent frequency within the preset time period.

3. The promotion method based on agricultural product technical services according to claim 2, characterized in that: The method for adjusting the preset promotion exposure amount based on the preset promotion exposure amount corresponding to a single promotion article and the feedback data includes adjusting the preset promotion exposure amount by an adjustment coefficient based on a comparison result that the difference between the number of clicks on the promotion article in a preset first promotion period and the preset promotion exposure amount is greater than or equal to the preset difference.

4. The promotion method based on agricultural product technical services according to claim 3 is characterized in that: The difference between the number of clicks on the promotional article during the preset first promotion period and the preset promotion exposure is the difference between the preset promotion exposure and the number of clicks on the promotional article, and the preset difference is determined based on the historical average of the difference between the number of clicks on the promotional article with the same preset promotion exposure and the preset promotion exposure.

5. The promotion method based on agricultural product technical services according to claim 4, characterized in that: Determining the matching degree of the promotion technology label based on the promotion duration of the curve feature point includes determining the matching degree of the promotion technology label according to the ratio of the promotion duration of the rising curve to the total promotion duration.

6. The promotion method based on agricultural product technical services according to claim 5, characterized in that: The determination of classification feature significance based on the consistency between the promotion feedback curve after each classification and the classification feature includes determining the classification feature significance according to the ratio of the number of promotion feedback curves after each classification that have similar change trends under different classification features to the total number of promotion feedback curves.

7. The promotion method based on agricultural product technical services according to claim 6, characterized in that: The evaluating, under a single category, a promotion value of a corresponding category based on the matching degree and the significance comprises calculating a promotion value of a corresponding category according to the matching degree and the significance.

8. The promotion method based on agricultural product technical services according to claim 7, characterized in that: The obtaining of promotion values ​​under each category and determining a number of technical tags under a single category based on the promotion values ​​includes determining a number of technical tags under a single category according to categories whose promotion values ​​are greater than or equal to a preset promotion value.

9. The promotion method based on agricultural product technical services according to claim 8, characterized in that: The step of generating a relationship model between publication time, technical tags and preset promotion exposure includes: Collect historical promotion data and feedback data, including publication time, technical tags, and actual promotion exposure; Split the dataset into training and test sets, usually using cross-validation or hold-out methods; Use the training set to train the model and optimize the model parameters to fit the data; Use the test set to evaluate the performance of the model, compare the predicted results with the actual results, and evaluate the accuracy and generalization ability of the model.

10. A system applied to the promotion method based on agricultural product technical services according to any one of claims 1 to 9, characterized in that: include: The data acquisition module is used to periodically acquire promotion data and feedback data. The promotion data includes the publication time of the promotion article, the technical tags of the promotion article and the preset promotion exposure. The feedback data includes the click data of the promotion article and the frequency of the technical tags during the same period. A promotion exposure determination module, which is connected to the data acquisition module and is used to obtain the concurrent frequency of the technical tags corresponding to a single promotion article within a preset period of time, and determine the preset promotion exposure based on the concurrent frequency; A promotion exposure adjustment module, which is connected to the promotion exposure determination module and is used to determine an adjustment method for the preset promotion exposure based on the preset promotion exposure corresponding to a single promotion article and the feedback data within a preset first promotion period; A promotion value evaluation module, which is connected to the promotion exposure adjustment module, and is used to evaluate the promotion value of the corresponding classification based on the matching degree of the promotion technical label determined based on the promotion duration of the curve feature point and the classification feature significance determined based on the consistency between the promotion feedback curve after each classification and the classification feature; The relationship model generation module is connected to the promotion value evaluation module and is used to perform data training based on a number of technical tags under a single category and the corresponding historical promotion data and historical feedback data to generate a relationship model between publication time, technical tags and preset promotion exposure.

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