Internet data service intelligent management system

Abstract

The invention discloses an internet data service intelligent management system, and belongs to the technical field of service management. The method and the device are used for solving the technical problems of poor omnibearing display effect and poor self-adaptive optimization management effect of vehicle sales network reservation service data in an existing scheme. According to a demand target input by a user, different sales outlets and different sales personnel meeting the demand target are automatically matched, and service data of the different sales outlets and the different sales personnel meeting the demand target are subjected to comprehensive conventional display recommendation. Further processing and consistency matching are carried out on the requirements of the user, and all-around special display recommendation is carried out on different target sales outlets and different target sales personnel meeting the requirements according to a matching result; and targeted target salesman shopping guide service recommendation can be further implemented according to user requirements.

Description

Technical Field

[0001] The present invention relates to the technical field of service management, and in particular to an intelligent management system for Internet data services. Background Art

[0002] When implementing the existing Internet data service management solutions, for vehicle sales network reservation services, the existing service solutions still remain at a single reserved display mode, and cannot provide users with more historical service data of sales outlets and sales personnel, which in turn results in users being unable to fully understand the service status data corresponding to different sales outlets and different sales personnel. There is a poor effect of all-round display of vehicle sales network reservation service data and poor effect of adaptive optimization management. Summary of the invention

[0003] The purpose of the present invention is to provide an Internet data service intelligent management system to solve the technical problems of poor all-round display effect and poor adaptive optimization management effect of vehicle sales network reservation service data in existing solutions.

[0004] The purpose of the present invention can be achieved through the following technical solutions:

[0005] An Internet data service intelligent management system, comprising:

[0006] The Internet data service routine supervision processing module is used to automatically match different sales outlets and different sales personnel that meet the demand targets according to the demand targets input by the user, and to make a comprehensive routine display and recommendation of the service data of different sales outlets and different sales personnel that meet the demand targets;

[0007] The special supervision processing module of Internet data services is used to process and match the requirements input by users, and make all-round special display recommendations for different target sales outlets and different target sales personnel that meet the requirements based on the matching results;

[0008] The Internet data service recommendation supervision and processing module is used to conduct different aspects of supervision and analysis on the targeted display recommendation effects after the implementation of regular display recommendations and special display recommendations, and to adaptively implement targeted optimization management for different display recommendations based on the analysis results.

[0009] Preferably, the demand target input by the user is obtained and keyword recognition is performed to obtain the demand target keyword, the demand target keyword is input into the sales service database for retrieval and matching, all sales outlets to which sample demand keywords consistent with the demand target keyword belong are marked as target sales outlets, and different sales personnel in different target sales outlets are marked as target sales personnel;

[0010] When the service data of different target sales outlets are comprehensively displayed and recommended, the historical sales performance values ​​XYj corresponding to all target sales personnel in different target sales outlets are obtained, and the formula Calculate and obtain the historical sales impact value LY corresponding to different target sales outlets; where LF is the total historical store sales score corresponding to the user demand target of the target sales outlet; j is the different target sales personnel in the target sales outlet, j = 1, 2, 3, ..., m; m is a positive integer, which is the total number of all target sales personnel in the target sales outlet.

[0011] Preferably, different target sales outlets are arranged in descending order according to the values ​​of the historical sales impact values, and a comprehensive conventional display recommendation is made for the different target sales outlets;

[0012] Furthermore, different target sales personnel in target sales outlets are arranged in descending order according to the numerical values ​​of historical sales performance, and all-round conventional display recommendations are made for different target sales personnel.

[0013] Preferably, the step of acquiring the historical sales business values ​​corresponding to different target sales personnel of the target sales outlets includes:

[0014] Get the total number of people LJj received by different target sales personnel who have handled the same user demand target, as well as the total historical sales volume LXj and the total historical sales score LFj of different target sales personnel who have handled the same user demand target; and use the historical sales processing formula Calculate and obtain the historical sales processing values ​​LCj corresponding to different target sales personnel in the target sales outlets; where CB is the historical sales processing standard value corresponding to the same user demand target;

[0015] And, through the historical sales formula Calculate and obtain the historical sales transaction value XCj corresponding to different target sales personnel in the target sales outlets; where LX′ and LF′ are the standard values ​​of the total historical sales volume and the total historical sales score corresponding to the same user demand target, respectively.

[0016] Preferably, the historical sales processing values ​​and historical sales transaction values ​​obtained by the corresponding processing of different target sales personnel are calculated by formula Calculate and obtain the historical sales performance value XYj corresponding to the target salesperson; where α is the sales impact factor, and its value range is (0, 1).

[0017] Preferably, the requirements input by the user are obtained and keywords are identified and combined to obtain a requirement keyword set, and all the requirement keywords in the requirement keyword set are sequentially input into the sales service tag database for retrieval and matching. If the number of matching requirement keywords in the retrieval and matching results is 0, a conventional display recommendation is performed to the user;

[0018] If the number of matching demand requirement keywords in the search matching results is N, where N is the total number of all demand requirement keywords in the demand requirement keyword set, the target salesperson who meets the demand requirements will be marked as a special salesperson, and the target sales outlet where the special salesperson is located will be marked as a special sales outlet, and the special salesperson and the special sales outlet will be recommended to the user as the first special display.

[0019] Preferably, if the number of matching demand requirement keywords in the search matching results is greater than 0 and less than N, the corresponding target salesperson who partially meets the demand requirement is marked as a preferred salesperson, and the target sales outlet to which the preferred salesperson belongs is marked as a preferred sales outlet;

[0020] The total number of matches of different preferred sales personnel corresponding to the demand requirement keyword set is counted, and the different preferred sales personnel are arranged in descending order according to the total number of matches, and a comprehensive second special display recommendation is made for different target sales personnel and their corresponding preferred sales outlets.

[0021] Preferably, the total number of recommendations confirmed corresponding to the regular display recommendations and the special display recommendations is monitored and obtained respectively, and the total number of recommended transactions corresponding to the regular display recommendations and the special display recommendations is monitored and obtained respectively, and the total number of recommendations confirmed and the total number of recommended transactions corresponding to different display recommendations are calculated by the formula Calculate and obtain the recommendation implementation validity XTk corresponding to different display recommendations; where k=1, 2, respectively, are regular display recommendations and special display recommendations; CTk is CT1, CT2, respectively, the total number of recommended transactions corresponding to regular display recommendations and special display recommendations; QTk is QT1, QT2, respectively, the total number of recommendations confirmed corresponding to regular display recommendations and special display recommendations; CBk is CB1, CB2, respectively, the recommendation implementation standard values ​​corresponding to regular display recommendations and special display recommendations.

[0022] Preferably, data analysis is performed on the effectiveness of recommendation implementation corresponding to different display recommendations, the recommendation implementation effects corresponding to different display recommendations are determined, and targeted optimization management is implemented;

[0023] If the recommendation implementation validity is greater than 0, the corresponding display recommendation will be marked as a normal display recommendation;

[0024] If the recommendation implementation validity is less than or equal to 0, the corresponding display recommendation will be marked as a display recommendation to be optimized, and the subsequent implementation of the display recommendation to be optimized will be managed through recommendation optimization.

[0025] Compared with the existing solutions, the present invention achieves the following beneficial effects:

[0026] The present invention automatically matches different sales outlets and different sales personnel that meet the demand targets according to the demand targets input by the user, and makes comprehensive and conventional display and recommendation of the service data of different sales outlets and different sales personnel that meet the demand targets, thereby improving the comprehensive display effect of the reservation service data of the existing vehicle sales network as well as the user's informed effect and independent selection effect.

[0027] Based on the target sales personnel information screened in the early stage, the present invention further processes and matches the user's needs and requirements, and according to the matching results, makes all-round special display recommendations for different target sales outlets and different target sales personnel that meet the needs and requirements, thereby further implementing targeted shopping guide service recommendations for target sales personnel based on user needs and requirements, further improving the all-round display effect of vehicle sales network reservation service data, and effectively improving the user's offline experience effect.

[0028] The present invention conducts different aspects of supervision and analysis on the targeted display recommendation effects after the implementation of conventional display recommendations and special display recommendations, and adaptively implements targeted optimization management for different display recommendations based on the analysis results, thereby realizing retrospective evaluation and autonomous correction and improvement of the all-round display implementation effects of vehicle sales network reservation service data, thereby improving the autonomous supervision effect and autonomous improvement effect of the all-round display implementation of vehicle sales network reservation service data. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] The present invention will be further described below in conjunction with the accompanying drawings.

[0030] Figure 1 This is a module block diagram of an Internet data service intelligent management system of the present invention.

[0031] Figure 2 The present invention is a flowchart of the steps of operating an Internet data service intelligent management system.

[0032] Figure 3 This is a flowchart of the steps of performing data analysis and comprehensive special display recommendations based on user input requirements in the present invention. DETAILED DESCRIPTION

[0033] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0034] like Figure 1 to Figure 2 As shown, the present invention is an Internet data service intelligent management system, including an Internet data service conventional supervision processing module, an Internet data service special supervision processing module and an Internet data service recommended supervision processing module;

[0035] The Internet data service routine supervision processing module is used to automatically match different sales outlets and different sales personnel that meet the demand target according to the demand target input by the user, and to make a comprehensive routine display and recommendation of the service data of different sales outlets and different sales personnel that meet the demand target; including:

[0036] The demand target input by the user is obtained and keyword recognition is performed to obtain the demand target keyword. The demand target input by the user may specifically be a vehicle model, which is filled in through an Internet webpage. Keyword recognition of the demand target is an existing conventional technical solution, and the specific implementation steps are not repeated here; the demand target keyword is input into the sales service database for retrieval and matching, and all sales outlets to which sample demand keywords that are consistent with the demand target keyword belong are marked as target sales outlets, and different sales personnel in different target sales outlets are marked as target sales personnel;

[0037] It should be noted that the sales service database is composed of the local sales outlets information of different brands of vehicles and the information of different sales personnel; the sales outlets can specifically be 4S stores of different brands of vehicles;

[0038] Different from the existing technical solutions, when users use the Internet vehicle sales service, the existing vehicle sales service solutions mostly stay at a single reserved contact method, which makes it impossible for users to fully understand the sales of the same vehicle by different sales outlets and different sales personnel, resulting in poor experience of users actually going to offline consultation, and there are barriers and opacity in Internet vehicle sales service information;

[0039] When the service data of different target sales outlets are comprehensively displayed and recommended, the historical sales performance values ​​XYj corresponding to all target sales personnel in different target sales outlets are obtained, and the formula Calculate and obtain the historical sales impact value LY corresponding to different target sales outlets; where LF is the total historical store sales score corresponding to the user demand target of the target sales outlet, which is obtained based on the big data of transaction user scores of the same user demand target in history; j is the different target salespersons in the target sales outlet, j = 1, 2, 3, ..., m; m is a positive integer, which is the total number of all target salespersons in the target sales outlet;

[0040] The historical sales impact value is used to calculate different historical sales data of the target sales outlets corresponding to the same user demand target, so as to digitally represent the historical sales status of the target sales outlets for the user demand target; the larger the historical sales impact value, the better the historical sales status of the target sales outlets for the user demand target;

[0041] The steps of obtaining the historical sales business values ​​corresponding to different target sales personnel of the target sales outlets include:

[0042] Get the total number of people LJj received by different target sales personnel who have handled the same user demand target, as well as the total historical sales volume LXj and the total historical sales score LFj of different target sales personnel who have handled the same user demand target; and use the historical sales processing formula Calculate and obtain the historical sales processing values ​​LCj corresponding to different target sales personnel in the target sales outlets; where CB is the historical sales processing standard value corresponding to the same user demand target, and the historical sales processing standard value LCj corresponding to all target sales personnel with the same user demand target can be calculated. is determined by the median value of

[0043] The historical sales processing value is used to calculate the historical reception data and historical sales data of the target salesperson corresponding to the same user demand target, so as to digitally represent the corresponding historical sales processing status;

[0044] And, through the historical sales formula Calculate and obtain the historical sales transaction value XCj corresponding to different target sales personnel in the target sales outlets; where LX′ and LF′ are the standard value of the historical sales volume and the standard value of the historical sales total score corresponding to the same user demand target, respectively, which can be obtained according to the median value of all historical sales volume and the median value of all historical sales total scores corresponding to the same user demand target;

[0045] The historical sales transaction value is used to calculate the historical sales data and historical scoring data of the target salesperson corresponding to the same user demand target, so as to digitally represent the corresponding historical sales transaction status;

[0046] The historical sales processing values ​​and historical sales transaction values ​​obtained by corresponding processing of different target sales personnel are calculated through the formula Calculate and obtain the historical sales performance value XYj corresponding to the target salesperson; where α is the sales impact factor, and its value range is (0, 1), and the specific value can be 0.6183;

[0047] The historical sales performance value is used to calculate the historical sales supervision processing data of different aspects of the target salesperson corresponding to the same user demand target, so as to digitally represent the corresponding historical sales performance status;

[0048] Arrange different target sales outlets in descending order according to the values ​​of historical sales impact values, and make comprehensive regular display recommendations for different target sales outlets; comprehensive regular display recommendations for target sales outlets, specifically including the total number of all target sales personnel corresponding to the target sales outlets, the total historical sales volume of stores with the same user demand target, and the total historical store sales score;

[0049] Furthermore, different target sales personnel in the target sales outlets are arranged in descending order according to the values ​​of historical sales performance values, and all-round conventional display recommendations are made for different target sales personnel; all-round conventional display recommendations for target sales personnel specifically include the total historical sales volume and total historical sales score of the target sales personnel corresponding to the same user demand target;

[0050] In the embodiment of the present invention, different sales outlets and different sales personnel that meet the demand target are automatically matched according to the demand target input by the user, and the service data of different sales outlets and different sales personnel that meet the demand target are comprehensively and routinely displayed and recommended, thereby improving the comprehensive display effect of the existing vehicle sales network reservation service data as well as the user's informed effect and independent selection effect.

[0051] The Internet data service special supervision processing module is used to process and match the requirements input by the user, and make all-round special display recommendations for different target sales outlets and different target sales personnel that meet the requirements based on the matching results; including:

[0052] Obtain the requirements input by the user and perform keyword recognition and combination. The requirements are specifically the requirements of the user for the salesperson who receives the customer, such as good attitude, careful introduction, good service, etc. The user fills in the requirements by himself to obtain a requirement keyword set. All the requirement keywords in the requirement keyword set are sequentially input into the sales service tag database for retrieval and matching;

[0053] like Figure 3As shown, if the number of matching demand requirement keywords in the search matching results is 0, a regular display recommendation is made to the user; this means that the user has no demand requirements, or the user's demand requirements do not match the sales service tags corresponding to all target sales personnel, and a regular display recommendation is implemented;

[0054] If the number of matching demand requirement keywords in the search matching results is N, where N is the total number of all demand requirement keywords in the demand requirement keyword set, the target salesperson who meets the demand requirement is marked as a special salesperson, and the target sales outlet where the special salesperson is located is marked as a special sales outlet, and the special salesperson and the special sales outlet are recommended to the user as a first special display;

[0055] If the number of matching demand requirement keywords in the search results is greater than 0 and less than N, the corresponding target salesperson who partially meets the demand requirements is marked as a preferred salesperson, and the target sales outlet to which the preferred salesperson belongs is marked as a preferred sales outlet;

[0056] The total number of matches of different preferred sales personnel corresponding to the demand requirement keyword set is counted, and the different preferred sales personnel are arranged in descending order according to the total number of matches, and a comprehensive second special display recommendation is made for different target sales personnel and their corresponding preferred sales outlets; the first special display recommendation is more targeted than the second special display recommendation;

[0057] In an embodiment of the present invention, based on the target sales personnel information screened in advance, the user's needs and requirements are further processed and matched for consistency, and different target sales outlets and different target sales personnel that meet the needs and requirements are comprehensively specially displayed and recommended according to the matching results. This can achieve further targeted target sales personnel shopping guide service recommendations based on user needs and requirements, further improve the comprehensive display effect of vehicle sales network reservation service data, and effectively improve the user's offline experience effect.

[0058] The Internet data service recommendation supervision processing module is used to conduct supervision analysis on different aspects of the targeted display recommendation effects after the implementation of regular display recommendations and special display recommendations, and to adaptively implement targeted optimization management for different display recommendations based on the analysis results; including:

[0059] Monitor and obtain the total number of recommendations confirmed for regular display recommendations and special display recommendations respectively, and monitor and obtain the total number of recommended transactions corresponding to regular display recommendations and special display recommendations respectively. The total number of recommendations confirmed and the total number of recommended transactions corresponding to different display recommendations are calculated by the formula Calculate and obtain the recommendation implementation validity XTk corresponding to different display recommendations; where k=1, 2, respectively, for regular display recommendations and special display recommendations; CTk is CT1, CT2, respectively, for the total number of recommended transactions corresponding to regular display recommendations and special display recommendations; QTk is QT1, QT2, respectively, for the total number of recommendations determined corresponding to regular display recommendations and special display recommendations; CBk is CB1, CB2, respectively, for the recommended implementation standard values ​​corresponding to regular display recommendations and special display recommendations, which can be determined based on the preliminary design requirement data corresponding to regular display recommendations and special display recommendations, or customized based on the actual effect data corresponding to the existing display recommendation schemes and combined with the actual application requirements of the actual application scenarios;

[0060] Recommendation implementation validity is used to calculate the different recommendation implementation effect data after different display recommendations are implemented, so as to digitally represent the corresponding effects of different display recommendations;

[0061] Conduct data analysis on the effectiveness of implementation of recommendations corresponding to different display recommendations, determine the implementation effects of recommendations corresponding to different display recommendations, and implement targeted optimization management;

[0062] If the recommendation implementation validity is greater than 0, the corresponding display recommendation will be marked as a normal display recommendation;

[0063] If the recommendation implementation validity is less than or equal to 0, the display recommendation will be marked as a display recommendation to be optimized, and the subsequent implementation of the display recommendation to be optimized will be managed by recommendation optimization. Specifically, the existing recommendation rules for the display recommendation to be optimized will be supplemented and corrected.

[0064] In the embodiment of the present invention, by performing different aspects of supervisory analysis on the targeted display recommendation effects after the implementation of conventional display recommendations and special display recommendations, and adaptively implementing targeted optimization management for different display recommendations based on the analysis results, it is possible to retrospectively evaluate and independently correct and improve the all-round display implementation effects of the vehicle sales network reservation service data, thereby improving the autonomous supervisory effect and autonomous improvement effect of the all-round display implementation of the vehicle sales network reservation service data.

[0065] In addition, the formulas involved in the above are all dimensionless and numerical calculations. They are a formula that is closest to the actual situation obtained by collecting a large amount of data and simulating it with simulation software.

[0066] In the several embodiments provided by the present invention, it should be understood that the disclosed system can be implemented in other ways. For example, the above-described embodiments of the invention are only illustrative, for example, the division of modules is only a logical function division, and there may be other division methods in actual implementation.

[0067] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical modules, and may be located in one place or distributed on multiple network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0068] In addition, each functional module in each embodiment of the present invention may be integrated into one processing module, or each module may exist physically separately, or two or more modules may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of hardware plus software functional modules.

[0069] It is obvious to a person skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the present invention can be implemented in other specific forms without departing from the essential characteristics of the present invention.

[0070] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solution of the present invention can be modified or replaced by equivalents without departing from the spirit and scope of the technical solution of the present invention.

Claims

1. An Internet data service intelligent management system, characterized in that: include: The Internet data service routine supervision processing module is used to automatically match different sales outlets and different sales personnel that meet the demand targets according to the demand targets input by the user, and to make a comprehensive routine display and recommendation of the service data of different sales outlets and different sales personnel that meet the demand targets; The special supervision processing module of Internet data services is used to process and match the requirements input by users, and make all-round special display recommendations for different target sales outlets and different target sales personnel that meet the requirements based on the matching results; The Internet data service recommendation supervision and processing module is used to conduct different aspects of supervision and analysis on the targeted display recommendation effects after the implementation of regular display recommendations and special display recommendations, and to adaptively implement targeted optimization management for different display recommendations based on the analysis results.

2. An Internet data service intelligent management system according to claim 1, characterized in that: Obtain the demand target input by the user and perform keyword recognition to obtain the demand target keyword, input the demand target keyword into the sales service database for retrieval and matching, mark all sales outlets that have sample demand keywords that are consistent with the demand target keyword as target sales outlets, and mark different sales personnel in different target sales outlets as target sales personnel; When the service data of different target sales outlets are comprehensively displayed and recommended, the historical sales performance values ​​XYj corresponding to all target sales personnel in different target sales outlets are obtained, and the formula Calculate and obtain the historical sales impact value LY corresponding to different target sales outlets; where LF is the total historical store sales score corresponding to the user demand target of the target sales outlet; j is the different target salespersons in the target sales outlet, j = 1, 2, 3, ..., m; m is a positive integer, which is the total number of all target sales personnel in the target sales outlets.

3. An Internet data service intelligent management system according to claim 2, characterized in that: Arrange different target sales outlets in descending order according to the historical sales impact values, and make comprehensive conventional display recommendations for different target sales outlets; Furthermore, different target sales personnel in target sales outlets are arranged in descending order according to the numerical values ​​of historical sales performance, and all-round conventional display recommendations are made for different target sales personnel.

4. The Internet data service intelligent management system according to claim 2, characterized in that: The steps for obtaining the historical sales business values ​​corresponding to different target sales personnel of the target sales outlets include: Get the total number of people LJj received by different target sales personnel who have handled the same user demand target, as well as the total historical sales volume LXj and the total historical sales score LFj of different target sales personnel who have handled the same user demand target; and use the historical sales processing formula Calculate and obtain the historical sales processing values ​​LCj corresponding to different target sales personnel in the target sales outlets; where CB is the historical sales processing standard value corresponding to the same user demand target; And, through the historical sales formula Calculate and obtain the historical sales transaction value XCj corresponding to different target sales personnel in the target sales outlets; where LX′ and LF′ are the standard values ​​of the total historical sales volume and the total historical sales score corresponding to the same user demand target, respectively.

5. An Internet data service intelligent management system according to claim 4, characterized in that: The historical sales processing values ​​and historical sales transaction values ​​obtained by corresponding processing of different target sales personnel are calculated through the formula Calculate and obtain the historical sales performance value XYj corresponding to the target salesperson; where α is the sales impact factor, and its value range is (0, 1).

6. An Internet data service intelligent management system according to claim 5, characterized in that: Obtain the requirements input by the user and perform keyword recognition and combination to obtain a requirement keyword set, and input all the requirement keywords in the requirement keyword set into the sales service tag database for search and matching. If the number of matching requirement keywords in the search and matching results is 0, then make regular display recommendations to the user; If the number of matching demand requirement keywords in the search matching results is N, where N is the total number of all demand requirement keywords in the demand requirement keyword set, the target salesperson who meets the demand requirements will be marked as a special salesperson, and the target sales outlet where the special salesperson is located will be marked as a special sales outlet, and the special salesperson and the special sales outlet will be recommended to the user as the first special display.

7. An Internet data service intelligent management system according to claim 6, characterized in that: If the number of matching demand requirement keywords in the search results is greater than 0 and less than N, the corresponding target salesperson who partially meets the demand requirements is marked as a preferred salesperson, and the target sales outlet to which the preferred salesperson belongs is marked as a preferred sales outlet; The total number of matches of different preferred sales personnel corresponding to the demand requirement keyword set is counted, and the different preferred sales personnel are arranged in descending order according to the total number of matches, and a comprehensive second special display recommendation is made for different target sales personnel and their corresponding preferred sales outlets.

8. An Internet data service intelligent management system according to claim 7, characterized in that: Monitor and obtain the total number of recommendations confirmed for regular display recommendations and special display recommendations respectively, and monitor and obtain the total number of recommended transactions corresponding to regular display recommendations and special display recommendations respectively. The total number of recommendations confirmed and the total number of recommended transactions corresponding to different display recommendations are calculated by the formula Calculate and obtain the recommendation implementation validity XTk corresponding to different display recommendations; where k=1, 2, respectively, are regular display recommendations and special display recommendations; CTk is CT1, CT2, respectively, the total number of recommended transactions corresponding to regular display recommendations and special display recommendations; QTk is QT1, QT2, respectively, the total number of recommendations confirmed corresponding to regular display recommendations and special display recommendations; CBk is CB1, CB2, respectively, the recommendation implementation standard values ​​corresponding to regular display recommendations and special display recommendations.

9. An Internet data service intelligent management system according to claim 8, characterized in that: Conduct data analysis on the effectiveness of implementation of recommendations corresponding to different display recommendations, determine the implementation effects of recommendations corresponding to different display recommendations, and implement targeted optimization management; If the recommendation implementation validity is greater than 0, the corresponding display recommendation will be marked as a normal display recommendation; If the recommendation implementation validity is less than or equal to 0, the corresponding display recommendation will be marked as a display recommendation to be optimized, and the subsequent implementation of the display recommendation to be optimized will be managed through recommendation optimization.

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