Method and device for pushing a card, non-volatile storage medium, electronic device

Abstract

The application discloses a method and device for pushing number cards, a nonvolatile storage medium and an electronic device. The method comprises the following steps: obtaining multiple index information of a target number card to be re-pushed, wherein the index information is used for indicating the pushing time information of the target number card and the area information of the target number card; determining the standardized score of each index information in the multiple index information, deleting the first type index information corresponding to the standardized score less than a preset threshold, and obtaining the second type index information corresponding to the standardized score greater than the preset threshold; determining the weight of each index information in the second type index information; determining the order conversion probability value of the target number card according to the weight of each index information, and re-pushing the target number card with the maximum order conversion probability value in the multiple target number cards. The application solves the technical problems of customer loss caused by the first delivery failure of the internet number card and the unstable daily pushing quantity of the internet number card.

Description

Technical Field

[0001] This application relates to the field of computer technology, and more specifically, to a method and apparatus for pushing SIM cards, a non-volatile storage medium, and an electronic device. Background Technology

[0002] In the delivery of internet SIM cards, a large number of rejected orders are generated due to various reasons such as false rejections, inability to contact customers temporarily, customers wanting the SIM card after initially rejecting it, customers forgetting to order the SIM card, and non-customers answering the phone without knowing they ordered the SIM card. As a result, there are problems with customer loss and low delivery volume of internet SIM cards during the off-season for SIM card orders.

[0003] There is currently no effective solution to the above problems. Summary of the Invention

[0004] This application provides a method and apparatus for pushing SIM cards, a non-volatile storage medium, and an electronic device to at least solve the technical problems of customer loss caused by the failure of the first delivery of internet SIM cards and the unstable number of internet SIM cards pushed daily.

[0005] According to one aspect of the embodiments of this application, a method for pushing SIM cards is provided, comprising: obtaining multiple indicator information of a target SIM card to be re-pushed, wherein the indicator information is used to indicate the push time information and the regional information of the target SIM card; determining the standardized score of each indicator information in the multiple indicator information, and deleting the first type of indicator information corresponding to the standardized score less than a preset threshold, thereby obtaining the second type of indicator information corresponding to the standardized score greater than the preset threshold; determining the weight of each indicator information in the second type of indicator information; determining the order conversion probability value of the target SIM card according to the weight of each indicator information, and re-pushing the target SIM card with the highest order conversion probability value among the multiple target SIM cards.

[0006] Optionally, the standardized score of each indicator among multiple indicator information is determined, including: obtaining the order volume and conversion rate corresponding to each indicator information; quantifying each indicator information based on the order volume and conversion rate to obtain the quantified score of each indicator information; and determining the standardized score of each indicator information based on the quantified score of each indicator information.

[0007] Optionally, the information of each indicator is quantified based on order volume and conversion rate to obtain a quantified score for each indicator, including: determining a first average order volume corresponding to multiple indicator information, and determining a second average conversion rate corresponding to multiple indicator information; identifying indicator information with order volume greater than the first average and conversion rate greater than the second average as primary indicator information; identifying indicator information with order volume less than the first average and conversion rate greater than the second average as secondary indicator information; identifying indicator information with order volume greater than the first average and conversion rate less than the second average as tertiary indicator information; identifying indicator information with order volume less than the first average and conversion rate less than the second average as quaternary indicator information; determining the quantified score of the primary indicator information as a first preset value, the quantified score of the secondary indicator information as a second preset value, the quantified score of the tertiary indicator information as a third preset value, and the quantified score of the quaternary indicator information as a fourth preset value, wherein the first preset value is greater than the second preset value, the second preset value is greater than the third preset value, and the third preset value is greater than the fourth preset value.

[0008] Optionally, the standardized score of each indicator information is determined based on the quantitative score of each indicator information, including: determining the maximum and minimum quantitative scores of each indicator information, and determining the first difference between the maximum and minimum quantitative scores, and determining the second difference between the self-quantitative score and the minimum quantitative score of each indicator information; and determining the ratio of the second difference to the first difference as the standardized score of each indicator information.

[0009] Optionally, determining the weight of each indicator in the second type of indicator information includes: comparing the quantitative scores of each indicator in the second type of indicator information to obtain multiple comparison results; using the multiple comparison results as elements of a pairwise comparison matrix; determining the product of the elements in each row of the pairwise comparison matrix and determining the square root of the product; determining the sum of the square roots of the pairwise comparison matrix, and determining the ratio of the square root of each indicator in the second type of indicator information to the sum of the square roots as the weight of each indicator.

[0010] Optionally, after determining the weight of each indicator in the second type of indicator information, the method for pushing the SIM card includes: using the standardized score of each indicator as an element of the judgment matrix, using the weight of each indicator as an element of the weight matrix, and performing a consistency check on the weight matrix; if the consistency check is passed, determining the order conversion probability of the target SIM card based on the weight of each indicator.

[0011] Optionally, the order conversion probability value of the target card is determined according to the weight of each indicator information, including: determining the order conversion probability value of each indicator information by multiplying the standardized score of each indicator information in the second type of indicator information with the weight of each indicator information.

[0012] According to another aspect of the embodiments of this application, an apparatus for pushing SIM cards is also provided, comprising: an acquisition module, configured to acquire multiple indicator information of a target SIM card to be re-pushed, wherein the indicator information is used to indicate the push time information and the regional information of the target SIM card; a first determination module, configured to determine the standardized score of each indicator information in the multiple indicator information, and delete the first type of indicator information corresponding to the standardized score less than a preset threshold, and obtain the second type of indicator information corresponding to the standardized score greater than the preset threshold; a second determination module, configured to determine the weight of each indicator information in the second type of indicator information; and a push module, configured to determine the order conversion probability value of the target SIM card according to the weight of each indicator information, and re-push the target SIM card with the highest order conversion probability value among the multiple target SIM cards.

[0013] According to another aspect of the embodiments of this application, a non-volatile storage medium is also provided, which stores a computer program, wherein the device containing the non-volatile storage medium executes the above-described method for pushing SIM cards by running the computer program.

[0014] According to another aspect of the embodiments of this application, an electronic device is also provided, including: a memory and a processor, the processor being configured to run a program stored in the memory, wherein the program executes the above-described method for pushing SIM cards when it runs.

[0015] In this embodiment, multiple indicator information of the target SIM card to be re-pushed is obtained. The indicator information indicates the push time and regional information of the target SIM card. The standardized score of each indicator is determined, and the first type of indicator information corresponding to standardized scores below a preset threshold is deleted, resulting in the second type of indicator information corresponding to standardized scores above the preset threshold. The weight of each indicator in the second type of indicator information is determined. The order conversion probability value of the target SIM card is determined based on the weight of each indicator. The target SIM card with the highest order conversion probability value among the multiple target SIM cards is re-pushed. This expands the indicator information of internet SIM cards. Factor analysis and analytic hierarchy process are used to quantify the expanded indicator information. Key indicator information is established based on the quantified indicator information, and each key indicator is weighted and scored. Based on the scoring results, SIM cards that failed initial delivery are selected for re-push. This ensures the objectivity of the selection results and enhances the effectiveness of SIM card push, thereby achieving the technical effect of identifying potential customers and reducing customer churn. This solves the technical problems of customer churn caused by the initial failure of internet SIM card delivery and the unstable daily push quantity of internet SIM cards. Attached Figure Description

[0016] The accompanying drawings, which are included to provide a further understanding of this application and form part of this application, illustrate exemplary embodiments and are used to explain this application, but do not constitute an undue limitation of this application. In the drawings:

[0017] Figure 1 This is a hardware structure block diagram of a computer terminal (or mobile device) for implementing a method for pushing SIM cards according to an embodiment of this application;

[0018] Figure 2 This is a flowchart of a method for pushing SIM cards according to an embodiment of this application;

[0019] Figure 3 It is a table of values ​​for an average random consistency index based on relevant technologies;

[0020] Figure 4 This is a structural diagram of a device for pushing SIM cards according to an embodiment of this application. Detailed Implementation

[0021] To enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present application, and not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative effort should fall within the scope of protection of the present application.

[0022] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of this application described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0023] To better understand the embodiments of this application, the technical terms involved in the embodiments of this application are explained below:

[0024] Internet SIM card / SIM card: The Internet SIM card / SIM card mentioned in this application embodiment is a mobile phone special package card launched by telecommunications operators in cooperation with Internet merchants. In this case, the Internet realizes the exchange of information and the sharing of resources through its propagation function.

[0025] Factor analysis is a statistical technique that extracts common factors from a group of variables. It is a multivariate statistical analysis method that starts from the dependencies within a correlation matrix composed of multiple variables and reduces variables with overlapping information and correlations to a few uncorrelated comprehensive factors. Through factor analysis, multiple variables are grouped according to the degree of correlation between them, so that variables within the same group are highly correlated, while variables in different groups are uncorrelated or have low correlation. Each group of variables represents a basic structure, namely a common factor.

[0026] The Analytic Hierarchy Process (AHP) is an analytical method that combines qualitative and quantitative analysis. Through AHP, the problem is decomposed into different components based on its nature and the overall goal. These components are then grouped and combined at different levels according to their interrelationships and hierarchical relationships, forming a multi-level analytical structure model. Ultimately, the problem is reduced to determining the relative importance or ranking of the lowest level (solutions, measures, etc. for decision-making) relative to the highest level (overall goal). In this embodiment, to select re-pulled SIM cards, AHP is used to determine the indicator information affecting the selection results and assign weights to these indicators. The SIM cards to be re-pulled are then determined based on these weights.

[0027] Range: The difference between the largest and smallest numbers in a sequence of numbers.

[0028] Range standardization is the simplest method to eliminate the influence of variable dimensions and range of variation. After processing by range standardization, the values ​​of the original data are all in [0, 1].

[0029] According to an embodiment of this application, a method embodiment for pushing SIM cards is provided. It should be noted that the steps shown in the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions. Also, although a logical order is shown in the flowchart, in some cases, the steps shown or described may be executed in a different order than that shown here.

[0030] The method embodiments provided in this application can be executed on a mobile terminal, computer terminal, or similar computing device. Figure 1 A hardware block diagram of a computer terminal (or mobile device) for implementing a method of pushing SIM cards is shown. Figure 1As shown, the computer terminal 10 (or mobile device 10) may include one or more processors 102 (shown as 102a, 102b, ..., 102n in the figure) (processor 102 may include, but is not limited to, a microprocessor MCU or a programmable logic device FPGA, etc.), a memory 104 for storing data, and a transmission module 106 for communication functions. In addition, it may also include: a display, an input / output interface (I / O interface), a universal serial bus (USB) port (which may be included as one of the ports of a BUS bus), a network interface, a power supply, and / or a camera. Those skilled in the art will understand that... Figure 1 The structure shown is for illustrative purposes only and does not limit the structure of the aforementioned electronic device. For example, computer terminal 10 may also include... Figure 1 The more or fewer components shown, or having the same Figure 1 The different configurations shown.

[0031] It should be noted that the aforementioned one or more processors 102 and / or other data processing circuits are generally referred to herein as "data processing circuits". These data processing circuits may be embodied, in whole or in part, in software, hardware, firmware, or any other combination thereof. Furthermore, the data processing circuits may be a single, independent processing module, or may be integrated, in whole or in part, into any other element within the computer terminal 10 (or mobile device). As involved in the embodiments of this application, the data processing circuits serve as a processor control mechanism (e.g., selection of a variable resistor termination path connected to an interface).

[0032] The memory 104 can be used to store software programs and modules of application software, such as the program instructions / data storage device corresponding to the method of pushing SIM cards in this embodiment. The processor 102 executes various functional applications and data processing by running the software programs and modules stored in the memory 104, thereby implementing the above-mentioned method of pushing SIM cards. The memory 104 may include high-speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some instances, the memory 104 may further include memory remotely located relative to the processor 102, and these remote memories can be connected to the computer terminal 10 via a network. Examples of such networks include, but are not limited to, the Internet, corporate intranets, local area networks, mobile communication networks, and combinations thereof.

[0033] The transmission device 106 is used to receive or send data via a network. Specific examples of the network described above may include a wireless network provided by the communication provider of the computer terminal 10. In one example, the transmission device 106 includes a Network Interface Controller (NIC), which can connect to other network devices via a base station to communicate with the Internet. In another example, the transmission device 106 may be a Radio Frequency (RF) module, used for wireless communication with the Internet.

[0034] The display can be, for example, a touchscreen liquid crystal display (LCD) that allows the user to interact with the user interface of the computer terminal 10 (or mobile device).

[0035] Figure 2 This is a flowchart of a method for pushing SIM cards according to an embodiment of this application, such as... Figure 2 As shown, the method includes the following steps:

[0036] Step S202: Obtain multiple indicator information of the target SIM card to be re-pushed, wherein the indicator information is used to indicate the push time information and the regional information of the target SIM card.

[0037] In step S202, indicator information of multiple SIM cards that failed to push on the first time (i.e., target SIM cards) is obtained. The indicator information includes push time information related to the target SIM card, which includes: the time of the target SIM card's first push failure, the time of the target SIM card's first re-push, and the time interval between the time of the first push failure and the first re-push. The push time information can be expanded from a specific moment to the time interval to which that moment belongs, such as morning, afternoon, holidays, weekdays, etc. The indicator information also includes the geographic / regional information of the target SIM card and the geographic / regional information of the destination to which the target SIM card is pushed. The geographic information of the target SIM card can be specified down to the province / city / district.

[0038] Step S204: Determine the standardized score of each indicator information in the multiple indicator information, and delete the first type of indicator information corresponding to the standardized score that is less than the preset threshold, and obtain the second type of indicator information corresponding to the standardized score that is greater than the preset threshold.

[0039] In step S204, the indicator information is quantified and assigned a value. The range standardization method is used to standardize the indicator information of the target number card to obtain the standardized score corresponding to each indicator information. The indicator information with a standardized score less than a preset threshold is determined as information that does not affect the result of screening and re-pushing the number card, and it is deleted. The indicator information with a standardized score greater than the preset threshold that affects the result of screening and re-pushing the number card (i.e., the second type of indicator information) is screened out.

[0040] Step S206: Determine the weight of each indicator in the second type of indicator information.

[0041] In step S206, the weights of the indicator information (i.e., the second type of indicator information) that affect the result of screening and re-pushing number cards are assigned using the AHP method, so as to obtain the weight values ​​of each indicator information (i.e., the second type of indicator information) that affects the result of screening and re-pushing number cards.

[0042] Step S208: Determine the order conversion probability value of the target number card according to the weight of each indicator information, and re-push the target number card with the highest order conversion probability value among multiple target number cards.

[0043] In step S208, the success rate of re-pushing the target number card (i.e., the order conversion probability value of the target number card) is determined according to the weight value of each indicator information (i.e., the second type of indicator information) that affects the result of the re-pushing of the number card, and the target number card with the highest success rate is re-pushed.

[0044] According to an optional embodiment of this application, determining the standardized score of each indicator among multiple indicator information includes the following steps: obtaining the order volume and conversion rate corresponding to each indicator information; quantifying each indicator information based on the order volume and conversion rate to obtain the quantified score of each indicator information; and determining the standardized score of each indicator information based on the quantified score of each indicator information.

[0045] In this embodiment, the standardized scores corresponding to each indicator information of the target SIM card are obtained by the following method: First, the order volume of the target SIM card corresponding to each indicator information and the success rate (i.e., conversion rate) of pushing the target SIM card to each indicator information are obtained. Based on the above order volume and the success rate (i.e., conversion rate) of pushing the target SIM card to each indicator information, the standardized scores of each indicator information are obtained by the range standardization method.

[0046] As in the previous embodiment, the information of each indicator is quantified based on order volume and conversion rate to obtain a quantified score for each indicator. This includes: determining a first average order volume corresponding to multiple indicator information and a second average conversion rate corresponding to multiple indicator information; identifying indicator information with order volume greater than the first average and conversion rate greater than the second average as first-level indicator information; identifying indicator information with order volume less than the first average and conversion rate greater than the second average as second-level indicator information; identifying indicator information with order volume greater than the first average and conversion rate less than the second average as third-level indicator information; identifying indicator information with order volume less than the first average and conversion rate less than the second average as fourth-level indicator information; determining the quantified score of the first-level indicator information as a first preset value, the quantified score of the second-level indicator information as a second preset value, the quantified score of the third-level indicator information as a third preset value, and the quantified score of the fourth-level indicator information as a fourth preset value, wherein the first preset value is greater than the second preset value, the second preset value is greater than the third preset value, and the third preset value is greater than the fourth preset value.

[0047] In this embodiment, the same type of indicator information is quantified into different levels based on order volume and conversion rate, and different scores (i.e., quantified scores) are assigned to indicator information of different levels. The higher the level corresponding to the score (i.e., quantified score), the greater the impact on the result of screening and re-pushing target number cards. The method is as follows: obtain the order volume of target number cards for each indicator information in multiple indicator information, and determine the average order volume (i.e., the first average value); obtain the success rate (i.e., conversion rate) of pushing target number cards for each indicator information in multiple indicator information, and determine the average success rate (i.e., conversion rate) (i.e., the second average value); mark the indicator information whose order volume is greater than the average order volume (i.e., the first average value) and whose conversion rate is greater than the average success rate (i.e., the second average value) as first-level indicator information, and set the quantity of first-level indicator information. The quantitative score is determined as the first preset value; the indicator information where the order volume is less than the average of the above order volumes (i.e., the first average value) and the conversion rate is greater than the average of the above success rates (i.e., the second average value) is marked as secondary indicator information, and the quantitative score of the secondary indicator information is determined as the second preset value; the indicator information where the order volume is greater than the average of the above order volumes (i.e., the first average value) and the conversion rate is less than the average of the above success rates (i.e., the second average value) is marked as tertiary indicator information, and the quantitative score of the tertiary indicator information is determined as the third preset value; the indicator information where the order volume is less than the average of the above order volumes (i.e., the first average value) and the conversion rate is less than the average of the above success rates (i.e., the second average value) is marked as quaternary indicator information, and the quantitative score of the quaternary indicator information is determined as the fourth preset value. For example, the target provinces for pushing SIM cards are quantitatively classified, determining the average order volume of multiple target provinces and the average conversion rate of push success rate (i.e., conversion rate) of multiple provinces. Provinces with order volume greater than the average order volume and push success rate (i.e., conversion rate) greater than the average conversion rate are classified as Level 1 provinces; provinces with order volume less than the average order volume and push success rate (i.e., conversion rate) greater than the average conversion rate are classified as Level 2 provinces; provinces with order volume greater than the average order volume and push success rate (i.e., conversion rate) less than the average conversion rate are classified as Level 3 provinces; and provinces with order volume less than the average order volume and push success rate (i.e., conversion rate) less than the average conversion rate are classified as Level 4 provinces. Quantitative scores of 4 points, 3 points, 2 points, and 1 point are assigned to the above Level 1, Level 2, Level 3, and Level 4 provinces, respectively.

[0048] According to another optional embodiment of this application, the standardized score of each indicator information is determined based on the quantified score of each indicator information, including: determining the maximum quantified score and the minimum quantified score of each indicator information, and determining a first difference between the maximum quantified score and the minimum quantified score; determining a second difference between the self-quantified score of each indicator information and the minimum quantified score; and determining the ratio of the second difference to the first difference as the standardized score of each indicator information.

[0049] In this embodiment, the standardized score of each indicator information is obtained based on the quantified score of each indicator information using the following method. For the same type of indicator information, the quantified scores of the indicator information after quantification and grading are obtained, and the largest quantified score (Xmax) and the smallest quantified score (Xmin) are determined to determine the quantification range (i.e., the first difference) of the same type of indicator information, where the range (R) = Xmax - Xmin; the difference between the quantified score (X) corresponding to each indicator information and the above range (R) is determined (i.e., the second difference), where the second difference = XR; and according to the formula... Determine the standardized score (X) for each indicator. ′ For example, in the previous embodiment, the target province for the pushed target SIM card was divided into four levels: Level 1, Level 2, Level 3, and Level 4. The quantitative score for Level 1 provinces was set to 4 points, for Level 2 provinces to 3 points, for Level 3 provinces to 2 points, and for Level 4 provinces to 1 point. The standard value for Level 1 provinces was then... Standard values ​​for second-tier provinces Standard values ​​for third-tier provinces Standard values ​​for fourth-level provinces

[0050] It should be noted that after the range standardization method, regardless of whether the original data is positive or negative, the standardized score of each indicator information belongs to [0, 1]. That is, the indicator information is transformed into a positive indicator and its influence on the selection and re-push numbers is consistent. When the quantitative score of some indicator information is added, the range (R) needs to be recalculated.

[0051] According to some preferred embodiments of this application, determining the weight of each indicator in the second type of indicator information includes the following steps: comparing the quantified scores of each indicator in the second type of indicator information to obtain multiple comparison results; using the multiple comparison results as elements of a pairwise comparison matrix; determining the product of the elements in each row of the pairwise comparison matrix and determining the square root of the product; determining the sum of the square roots of the pairwise comparison matrix, and determining the ratio of the square root of each indicator in the second type of indicator information to the sum of the square roots as the weight of each indicator.

[0052] In some preferred embodiments, the weight of each indicator information in the indicator information with a standardized score greater than a preset threshold (i.e., the second type of indicator information) is determined by the following method: the quantified scores of any two indicator information i and indicator information j in the second type of indicator information are compared. If the quantified scores of indicator information i and indicator information j are equal, it is considered that indicator information i and indicator information j have the same influence on the result of screening and re-pushing target number cards. The comparison result of indicator information i and indicator information j is quantified into a numerical value of 1 according to the scaling method in AHP analysis (Santy 1-9 scaling method). If the quantified score of indicator information i is greater than the quantified score of indicator information j, but the difference between the quantified scores is small, such as less than 10, it is considered that the influence of indicator information i on the result of screening and re-pushing target number cards is slightly greater than that of indicator information j. The comparison result of indicator information i and indicator information j is quantified to a value of 3 according to the AHP analysis scaling method (Santy 1-9 scaling method). If the quantified score of indicator information i is greater than the quantified score of indicator information j, such as the difference between the quantified scores being between 10 and 20, it is considered that the influence of indicator information i on the result of screening and re-pushing target number cards is slightly greater than that of indicator information j. The influence of indicator information i on the result of selecting and re-pushing target number cards is greater than that of indicator information j. Based on the AHP analysis scaling method (Santy 1-9 scaling method), the comparison result of indicator information i and indicator information j is quantified to a value of 5. If the quantified score of indicator information i is greater than that of indicator information j, such as a difference of 20-30, then the influence of indicator information i on the result of selecting and re-pushing target number cards is considered to be far greater than that of indicator information j. According to the AHP analysis scaling method (Santy 1-9 scaling method), the comparison result of indicator information i and indicator information j is quantified to a value of 7. If the quantified score of indicator information i is greater than the quantified score of indicator information j, such as a difference of more than 30, it is considered that the influence of indicator information i on the result of screening and re-pushing target number cards is much greater than the influence of indicator information j on the result of screening and re-pushing target number cards. According to the AHP analysis scaling method (Santy 1-9 scaling method), the comparison result of indicator information i and indicator information j is quantified to a value of 9.

[0053] If the comparison order of indicator information i and indicator information j is reversed when comparing their quantized values, the quantized value of the comparison result will be the reciprocal of the original quantized values. For example, if the sum of the quantized values ​​of indicator information i and indicator information j is still less than 10, the comparison result of indicator information i and indicator information j will be quantized as the value 3, while the comparison result of indicator information j and indicator information i will be quantized as the value... The quantified values ​​of the above comparison results are used as elements of a matrix to obtain a pairwise comparison matrix. The product of the elements in each row of the matrix is ​​calculated, and the square root of the product is obtained. Each row's product corresponds to a unique indicator, and the power of the square root is the same as the number of indicators in the second type of indicator information. For example, if there are n indicators affecting the result of screening and re-pushing SIM cards (i.e., second-type indicator information), then the nth root of the product of the elements in each row is calculated. According to the formula... Determine the weight of each indicator (W) i ),in, The nth root of the indicator information i This is the sum of the multiple nth roots obtained from the pairwise comparison matrix above.

[0054] According to an optional embodiment of this application, after determining the weight of each indicator in the second type of indicator information, the method for pushing the SIM card includes: using the standardized score of each indicator as an element of a judgment matrix, using the weight of each indicator as an element of a weight matrix, and performing a consistency check on the weight matrix; if the consistency check is passed, determining the order conversion probability of the target SIM card based on the weight of each indicator.

[0055] In this embodiment, after determining the weight values ​​of each indicator in the indicator information (i.e., the second type of indicator information) that affects the result of screening and re-pushing SIM cards according to the above embodiment, multiple weight values ​​are used as elements of a matrix to obtain a weight matrix. A consistency check is then performed on the weight matrix. If the weight matrix passes the consistency check, the order conversion probability of the target SIM card is determined based on the weights of each indicator. The consistency check method is as follows: according to the formula... Determine the largest eigenvalue (λ) of the weight matrix max ), where A is a judgment matrix composed of the quantitative values ​​of the comparison results of each indicator (such as 1, 3, 5, etc. mentioned above), W is a weight matrix, and AW is the matrix obtained by multiplying matrix A and matrix W, (AW) i The sum of the elements in each row of the matrix obtained by multiplying matrices A and W; next, according to the formula... A consistency test is performed, where CR is the Consistent Ratio and CI is the Consistency Index. RI stands for Average Randomconsistency Index. Figure 3 Here is a table of values ​​for the average random consistency index, RI, from... Figure 3 As shown in the table, when CR < 0.1, the consistency test is considered passed.

[0056] According to some other preferred embodiments of this application, the order conversion probability value of the target card is determined based on the weight of each indicator information, including: determining the order conversion probability value of each indicator information by multiplying the standardized score of each indicator information in the second type of indicator information with the weight of each indicator information.

[0057] In some other preferred embodiments, after passing the consistency check, several indicators that have a significant impact on the re-push success rate of a target number are determined. For example, five indicators, A, B, C, D, and E, are selected. The re-push success rate (i.e., order conversion probability value) of the target number is calculated based on the quantified value and weight value of these five indicators. The calculation formula is as follows: Order conversion probability value = quantified value of A * weight of A + quantified value of B * weight of B + quantified value of C * weight of C + quantified value of D * weight of D + quantified value of E * weight of E.

[0058] Figure 4 This is a structural diagram of a device for pushing SIM cards according to an embodiment of this application, as shown below. Figure 4 As shown, the device includes: an acquisition module 40, used to acquire multiple indicator information of the target SIM card to be re-pushed, wherein the indicator information is used to indicate the push time information and the regional information of the target SIM card; a first determination module 42, used to determine the standardized score of each indicator information in the multiple indicator information, and delete the first type of indicator information corresponding to the standardized score less than a preset threshold, and obtain the second type of indicator information corresponding to the standardized score greater than the preset threshold; a second determination module 44, used to determine the weight of each indicator information in the second type of indicator information; and a push module 46, used to determine the order conversion probability value of the target SIM card according to the weight of each indicator information, and re-push the target SIM card with the highest order conversion probability value among the multiple target SIM cards.

[0059] It should be noted that, Figure 4 Preferred embodiments of the shown examples can be found in [reference needed]. Figure 2 The relevant descriptions of the embodiments shown will not be repeated here.

[0060] According to the method provided in this application embodiment, based on indicator expansion, indicator quantification, and indicator standardization, a scheme suitable for screening and re-pushing phone numbers is integrated with factor analysis and hierarchical analysis methods. Based on indicator screening principles and factor analysis methods, key indicator factors are established. Hierarchical analysis is used to assign weights and scores to each indicator factor, increasing the scientific rigor of the calculation process and improving the ability to identify potential customers. Direct selection of original indicator variables is abandoned; instead, the information of the original variables is recombined to find common factors affecting the indicator variables, achieving data simplification. The use of hierarchical analysis (AHP) ensures the objectivity of the screening results. After a series of phone number feature identifications and indicator calculations, the batch of orders with the highest conversion probability is selected for secondary push, enhancing the effectiveness of phone number push.

[0061] This application also provides a non-volatile storage medium storing a computer program, wherein the device containing the non-volatile storage medium executes the above-described method for pushing SIM cards by running the computer program.

[0062] The aforementioned non-volatile storage medium is used to store a program that performs the following functions: acquiring multiple indicator information of the target SIM card to be re-pushed, wherein the indicator information is used to indicate the push time information and the regional information of the target SIM card; determining the standardized score of each indicator information in the multiple indicator information, and deleting the first type of indicator information corresponding to the standardized score less than a preset threshold, obtaining the second type of indicator information corresponding to the standardized score greater than the preset threshold; determining the weight of each indicator information in the second type of indicator information; determining the order conversion probability value of the target SIM card according to the weight of each indicator information, and re-pushing the target SIM card with the highest order conversion probability value among the multiple target SIM cards.

[0063] This application also provides an electronic device, including a memory and a processor, the processor being used to run a program stored in the memory, wherein the program executes the above-described method for pushing SIM cards.

[0064] The aforementioned electronic device is used to run a program that performs the following functions: acquiring multiple indicator information of the target SIM card to be re-pushed, wherein the indicator information is used to indicate the push time information and the regional information of the target SIM card; determining the standardized score of each indicator information in the multiple indicator information, and deleting the first type of indicator information corresponding to the standardized score less than a preset threshold, obtaining the second type of indicator information corresponding to the standardized score greater than the preset threshold; determining the weight of each indicator information in the second type of indicator information; determining the order conversion probability value of the target SIM card according to the weight of each indicator information, and re-pushing the target SIM card with the highest order conversion probability value among the multiple target SIM cards.

[0065] It should be noted that the modules in the aforementioned SIM card push device can be program modules (e.g., a set of program instructions to implement a specific function) or hardware modules. For the latter, they can take the following forms, but are not limited to them: each of the above modules is represented by a processor, or the functions of each of the above modules are implemented by a processor.

[0066] The sequence numbers of the embodiments in this application are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.

[0067] In the above embodiments of this application, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0068] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. The device embodiments described above are merely illustrative; for example, the division of units can be a logical functional division, and in actual implementation, there may be other division methods. For instance, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the displayed or discussed mutual coupling, direct coupling, or communication connection may be through some interfaces; the indirect coupling or communication connection between units or modules may be electrical or other forms.

[0069] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0070] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0071] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to related technologies, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, read-only memory (ROM), random access memory (RAM), portable hard drives, magnetic disks, or optical disks.

[0072] The above description is only a preferred embodiment of this application. It should be noted that for those skilled in the art, several improvements and modifications can be made without departing from the principle of this application, and these improvements and modifications should also be considered within the scope of protection of this application.

Claims

1. A method for pushing SIM cards, characterized in that, include: Obtain multiple indicator information of the target SIM card to be re-pushed, wherein the indicator information is used to indicate the push time information and the regional information of the target SIM card; Determine the standardized score of each indicator among the multiple indicator information, and delete the first type of indicator information corresponding to the standardized score less than a preset threshold, to obtain the second type of indicator information corresponding to the standardized score greater than the preset threshold; Determine the weight of each indicator in the second type of indicator information; The order conversion probability value of the target number card is determined according to the weight of each indicator information, and the target number card with the highest order conversion probability value among multiple target number cards is re-pushed; Determining the standardized score of each indicator among the multiple indicator information includes: obtaining the order volume and conversion rate corresponding to each indicator information; quantifying each indicator information based on the order volume and conversion rate to obtain a quantized score for each indicator information; determining a quantized difference for range standardization of each indicator information based on the quantized score of each indicator information, and determining the standardized score based on the quantized difference, wherein the quantized difference includes at least the quantized range of similar indicator information, and the difference between the quantized score of each indicator information and the quantized range; Determining the weight of each indicator in the second type of indicator information includes: comparing the quantified scores of each indicator in the second type of indicator information to obtain multiple comparison results; using the analytic hierarchy process (AHP) to quantify the multiple comparison results into elements of a pairwise comparison matrix; determining the product of the elements in each row of the pairwise comparison matrix and determining the square root of the product; determining the sum of the square roots of the pairwise comparison matrix, and determining the ratio of the square root of each indicator in the second type of indicator information to the sum of the square roots as the weight of each indicator.

2. The method according to claim 1, characterized in that, The information of each indicator is quantified based on the order volume and the conversion rate to obtain a quantitative score for each indicator, including: Determine a first average of the order volume corresponding to the multiple indicator information, and determine a second average of the conversion rate corresponding to the multiple indicator information; The indicator information where the order volume is greater than the first average and the conversion rate is greater than the second average is determined as primary indicator information; The indicator information where the order volume is less than the first average value and the conversion rate is greater than the second average value is determined as secondary indicator information; The indicator information where the order volume is greater than the first average value and the conversion rate is less than the second average value is determined as the third-level indicator information; The indicator information where the order volume is less than the first average value and the conversion rate is less than the second average value is determined as level four indicator information; The quantitative score of the first-level indicator information is determined as a first preset value, the quantitative score of the second-level indicator information is determined as a second preset value, the quantitative score of the third-level indicator information is determined as a third preset value, and the quantitative score of the fourth-level indicator information is determined as a fourth preset value, wherein the first preset value is greater than the second preset value, the second preset value is greater than the third preset value, and the third preset value is greater than the fourth preset value.

3. The method according to claim 2, characterized in that, Based on the quantitative scores of each indicator, a quantified difference is determined for range standardization of each indicator, and the standardized score is determined based on the quantified difference, including: Determine the maximum and minimum quantized scores for each indicator, and determine the first difference between the maximum and minimum quantized scores; Determine the second difference between the self-quantified score of each indicator and the minimum quantified score; The ratio of the second difference to the first difference is determined as the standardized score of each indicator information.

4. The method according to claim 1, characterized in that, After determining the weights of each indicator in the second type of indicator information, the method includes: The standardized scores of each indicator information are used as elements of the judgment matrix, the weights of each indicator information are used as elements of the weight matrix, and the weight matrix is ​​subjected to a consistency check. If the consistency check is passed, the order conversion probability of the target SIM card is determined according to the weight of each indicator information.

5. The method according to claim 1, characterized in that, The order conversion probability value of the target SIM card is determined based on the weight of each indicator, including: The product of the standardized score of each indicator in the second category of indicator information and the weight of each indicator information is determined as the order conversion probability value of each indicator information.

6. A device for pushing SIM cards, characterized in that, include: The acquisition module is used to acquire multiple indicator information of the target SIM card to be re-pushed, wherein the indicator information is used to indicate the push time information and the regional information of the target SIM card; The first determining module is used to determine the standardized score of each indicator information among the plurality of indicator information, and delete the first type of indicator information corresponding to the standardized score less than a preset threshold, and obtain the second type of indicator information corresponding to the standardized score greater than the preset threshold; determining the standardized score of each indicator information among the plurality of indicator information includes: obtaining the order volume and the conversion rate corresponding to each indicator information; quantifying each indicator information according to the order volume and the conversion rate to obtain the quantized score of each indicator information; determining the quantized difference for range standardization of each indicator information according to the quantized score of each indicator information, and determining the standardized score based on the quantized difference, wherein the quantized difference includes at least the quantized range of the same type of indicator information, and the difference between the quantized score of each indicator information and the quantized range; The second determining module is used to determine the weight of each indicator in the second type of indicator information, including: comparing the quantified scores of each indicator in the second type of indicator information to obtain multiple comparison results; using the analytic hierarchy process (AHP) to quantify the multiple comparison results into elements of a pairwise comparison matrix; determining the product of the elements in each row of the pairwise comparison matrix and determining the square root of the product; determining the sum of the square roots of the pairwise comparison matrix, and determining the ratio of the square root of each indicator in the second type of indicator information to the sum of the square roots as the weight of each indicator; The push module is used to determine the order conversion probability value of the target number card according to the weight of each indicator information, and to re-push the target number card with the highest order conversion probability value among multiple target number cards.

7. A non-volatile storage medium, characterized in that, The non-volatile storage medium stores a computer program, wherein the device containing the non-volatile storage medium executes the method for pushing SIM cards as described in any one of claims 1 to 5 by running the computer program.

8. An electronic device, characterized in that, include: A memory and a processor, the processor being configured to run a program stored in the memory, wherein the program, when running, performs the method for pushing a SIM card as described in any one of claims 1 to 5.

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