Product information pushing method and device, equipment and medium

Abstract

The invention discloses a product information pushing method and device, equipment and a medium. The method comprises the following steps: according to product acquisition record information of each reservation user, determining product statistical information of each reservation user; the product statistical information comprises an average acquisition interval, an acquisition frequency, a product value and an acquisition frequency; determining a classification evaluation value of each reservation user according to the product statistical information of each reservation user; and determining the user type of each reservation user according to the classification evaluation value and the association evaluation value of each reservation user, and pushing the product information to each reservation user according to a product information pushing mode corresponding to the user type. According to the embodiment of the invention, the user type of each user sending the product reservation request can be determined through the authorized information of the user, and the product information is pushed to each user according to the product information pushing mode corresponding to the user type, so that the information is pushed in a targeted manner according to the user type.

Description

Technical Field

[0001] The present invention relates to the field of financial technology, and in particular to a method, device, equipment and medium for pushing product information. Background Art

[0002] Users can send product reservation requests to the business system of financial institutions through terminal devices to apply for reservations for a certain number of products issued by financial institutions. Products issued by financial institutions include but are not limited to digital collections and other different types of commemorative products. For each user who sends a product reservation request, the business system of the financial institution needs to push the product information of the products issued by the financial institution to the user.

[0003] In the related art, the commonly used product information push scheme is: using a fixed product information push method to push product information of products issued by financial institutions to each user who sends a product reservation request. The product information push scheme in the related art is not flexible in pushing product information, and it is impossible to determine the user type of each user who sends a product reservation request through the authorized information of each user who sends a product reservation request stored in the business system of the financial institution, and to push information in a targeted manner according to the user type. Summary of the invention

[0004] The present invention provides a product information push method, device, equipment and medium to solve the problem that the product information push scheme in the related art is not flexible in pushing product information, and it is impossible to determine the user type of each user who sends the product reservation request through the authorized information of each user who sends the product reservation request stored in the business system of the financial institution, and to push information in a targeted manner according to the user type.

[0005] According to one aspect of the present invention, a method for pushing product information is provided, comprising:

[0006] Determine the product statistics of each user according to the product acquisition record information of each user; wherein the product statistics include: average acquisition interval, acquisition frequency, product value and acquisition times;

[0007] Determine the classification evaluation value of each reservation user based on the product statistical information of each reservation user;

[0008] The user type of each reservation user is determined according to the classification evaluation value and the associated evaluation value of each reservation user, and the product information is pushed to each reservation user according to the product information push method corresponding to the user type of each reservation user.

[0009] According to another aspect of the present invention, there is provided a product information push device, comprising:

[0010] An information determination module is used to determine product statistical information of each reservation user according to the product acquisition record information of each reservation user; wherein the product statistical information includes: average acquisition interval, acquisition frequency, product value and acquisition times;

[0011] A value determination module is used to determine the classification evaluation value of each reservation user according to the product statistical information of each reservation user;

[0012] The information push module is used to determine the user type of each reservation user according to the classification evaluation value and the associated evaluation value of each reservation user, and push product information to each reservation user according to the product information push method corresponding to the user type of each reservation user.

[0013] According to another aspect of the present invention, an electronic device is provided, the electronic device comprising:

[0014] at least one processor;

[0015] and a memory communicatively coupled to the at least one processor;

[0016] The memory stores a computer program executed by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the product information pushing method described in any embodiment of the present invention.

[0017] According to another aspect of the present invention, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the product information push method described in any embodiment of the present invention when executed.

[0018] According to another aspect of the present invention, a computer program product is provided. The computer program product includes a computer program. When the computer program is executed by a processor, the product information push method according to any embodiment of the present invention is implemented.

[0019] The technical solution of the embodiment of the present invention determines the product statistical information of each reservation user according to the product acquisition record information of each reservation user; the product statistical information includes: average acquisition interval, acquisition frequency, product value and acquisition times; then, according to the product statistical information of each reservation user, the classification evaluation value of each reservation user is determined; finally, according to the classification evaluation value and the associated evaluation value of each reservation user, the user type of each reservation user is determined, and according to the product information push method corresponding to the user type of each reservation user, the product information is pushed to each reservation user, so that the product information push solution in the related art is not flexible in pushing product information, and it is impossible to determine the user type of each user who sends the product reservation request through the authorized information of each user who sends the product reservation request stored in the business system of the financial institution, and To solve the problem of targeted information push based on user type, the product statistical information of each reservation user can be determined based on the product acquisition record information, and then the classification evaluation value of each reservation user can be determined based on the determined product statistical information. The user type of each reservation user can be determined based on the classification evaluation value and the associated evaluation value of each reservation user. The user type of each user who sends a product reservation request can be determined through the authorized information of each user who sends a product reservation request stored in the business system of the financial institution. Product information can be pushed to each reservation user according to the product information push method corresponding to the determined user type of each reservation user, so that information can be pushed in a targeted manner according to the user type. Product information can be pushed in a manner suitable for each user who sends a product reservation request, thereby improving the flexibility of the product information push process.

[0020] It should be understood that the contents described in this section are not intended to identify the key or important features of the embodiments of the present invention, nor are they intended to limit the scope of the present invention. Other features of the present invention will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0022] Figure 1 The present invention provides a flowchart of a method for pushing product information in accordance with the first embodiment of the present invention.

[0023] Figure 2 This is a flow chart of a product information push method provided in Embodiment 2 of the present invention.

[0024] Figure 3This is a structural diagram of a product information push device provided in Embodiment 3 of the present invention.

[0025] Figure 4 A schematic diagram of the structure of an electronic device for implementing the product information push method according to an embodiment of the present invention. DETAILED DESCRIPTION

[0026] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings 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 should fall within the scope of protection of the present invention.

[0027] It should be noted that the terms "target", "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "comprise", "include" and "have" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0028] It should be noted that the relevant information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data for display, data for analysis, etc.) involved in this disclosure are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data comply with relevant laws, regulations and standards in relevant regions.

[0029] Embodiment 1

[0030] Figure 1 This is a flowchart of a product information push method provided in Embodiment 1 of the present invention. This embodiment is applicable to the case where product information is pushed to a user who sends a product reservation request. The method can be executed by a product information push device, which can be implemented in the form of hardware and / or software, and can be configured in the business system of a financial institution. The business system of a financial institution can be a server set up in the financial institution for processing the business of the financial institution. Figure 1 As shown, the method includes:

[0031] Step 101: Determine product statistics of each reservation user based on product acquisition record information of each reservation user.

[0032] The product statistical information includes: average acquisition interval, acquisition frequency, product value and acquisition times.

[0033] Optionally, each reservation user may refer to multiple users who have sent a product reservation request to the business system of a financial institution through a terminal device to apply for a reservation of a certain number of products issued by the financial institution. The product reservation request may be information for applying for a reservation of a certain number of products issued by a financial institution. Products issued by financial institutions include but are not limited to digital collections and other different types of commemorative products. Digital collections refer to unique digital certificates generated using blockchain technology corresponding to specific works or artworks.

[0034] Optionally, the product acquisition record information of the scheduled user may refer to the operation-related information of the product acquisition operation performed by the scheduled user within the target time interval recorded by the business system of the financial institution. The scheduled user has authorized the business system of the financial institution to record and process the operation-related information of each product acquisition operation performed by the scheduled user within the target time interval. The target time interval may refer to the target duration before the current moment. The target duration may be a preset duration. Exemplarily, the target duration is 3 months, and the target time interval may refer to the 3 months before the current moment. The product acquisition operation may refer to the operation of acquiring the product of the financial institution. The operation-related information of the product acquisition operation may be composed of the time of the product acquisition operation, the product value and the product type. The time of the product acquisition operation may be the time when the scheduled user performs the product acquisition operation. The product value of the product acquisition operation may be a numerical value used to characterize the value of the product acquired through the product acquisition operation. The product type of the product acquisition operation may be a text used to characterize the type of the product acquired through the product acquisition operation. For each product acquisition operation performed by the scheduled user within the target time interval, the business system of the financial institution will record an operation-related information. The product acquisition record information of the scheduled user includes the operation-related information of all product acquisition operations performed by the scheduled user within the target time interval. Each operation-related information includes the time, product value, and product type of the product acquisition operation to which the operation-related information belongs. The total number of operation-related information included in the product acquisition record information of the scheduled user is the total number of product acquisition operations performed by the scheduled user within the target time interval.

[0035] Optionally, the average acquisition interval of the scheduled user may refer to the difference between the time of the last product acquisition operation performed by the scheduled user within the target time interval and the time of the first product acquisition operation performed by the scheduled user within the target time interval. The average acquisition interval of the scheduled user may be expressed as:

[0036] R=T lasttime -T firsttime ,

[0037] Among them, R is the average acquisition interval of the reservation users, T lasttime T is the time when the scheduled user performs the last product acquisition operation within the target time interval. firsttime The time when the scheduled user performs the first product acquisition operation within the target time interval.

[0038] Optionally, the acquisition frequency of the scheduled user may refer to the total number of times the scheduled user performs product acquisition operations within the target time interval. The total number of operation-related information contained in the product acquisition record information of the scheduled user is the total number of times the scheduled user performs product acquisition operations within the target time interval. The acquisition frequency of the scheduled user can be obtained by counting the total number of operation-related information contained in the product acquisition record information of the scheduled user.

[0039] Optionally, the product value of the reserved user may refer to the sum of the product values ​​of all product acquisition operations performed by the reserved user within the target time interval.

[0040] Optionally, the acquisition times of the reservation user may be the number of times the reservation user acquires the target product within the target time interval. The target product may be a designated commemorative product issued by a financial institution. The total number of operation-related information whose product type is a text used to characterize the type of the target product contained in the product acquisition record information of the reservation user is the number of times the reservation user acquires the target product within the target time interval. The acquisition times of the reservation user may be obtained by counting the total number of operation-related information whose product type is a text used to characterize the type of the target product contained in the product acquisition record information of the reservation user.

[0041] Optionally, the product acquisition record information of each reservation user can be obtained from the business system of the financial institution, and then the average acquisition interval, acquisition frequency, product value and acquisition times of each reservation user can be determined based on the product acquisition record information of each reservation user. The following operations can be performed for each reservation user: extract the time of the last product acquisition operation performed by the reservation user within the target time interval and the time of the first product acquisition operation performed by the reservation user within the target time interval from the product acquisition record information of the reservation user, calculate the difference between the time of the last product acquisition operation performed by the reservation user within the target time interval and the time of the first product acquisition operation performed by the reservation user within the target time interval, and obtain the average acquisition interval of the reservation user; count the total number of operation-related information contained in the product acquisition record information of the reservation user to obtain the acquisition frequency of the reservation user; extract the product value of all product acquisition operations performed by the reservation user within the target time interval from the product acquisition record information of the reservation user, calculate the sum of the product value of all product acquisition operations performed by the reservation user within the target time interval, and obtain the product value of the reservation user; count the total number of operation-related information whose product type is text used to characterize the type of the target product contained in the product acquisition record information of the reservation user to obtain the acquisition times of the reservation user.

[0042] Step 102: Determine the classification evaluation value of each reservation user based on the product statistical information of each reservation user.

[0043] Optionally, the user type of the subscriber may be information used to characterize the classification of service behaviors that the financial institution needs to provide to the subscriber. The classification evaluation value of the subscriber may be a value used to characterize the user type of the subscriber determined based on information that the subscriber has authorized the financial institution to process.

[0044] Optionally, a classification evaluation value for each reservation user is determined based on the product statistical information of each reservation user, including: standardizing the average acquisition interval, acquisition frequency, product value and acquisition times of each reservation user to obtain the standardized average acquisition interval, acquisition frequency, product value and acquisition times of each reservation user; determining the classification evaluation value for each reservation user based on the standardized average acquisition interval, acquisition frequency, product value and acquisition times of each reservation user.

[0045] In this way, the average acquisition interval, acquisition frequency, product value and acquisition times of each reservation user can be standardized, so as to improve the consistency of the average acquisition interval, acquisition frequency, product value and acquisition times of each reservation user, and then based on the standardized average acquisition interval, acquisition frequency, product value and acquisition times of each reservation user, the classification evaluation value of each reservation user can be preliminarily determined to avoid errors in the preliminarily determined classification evaluation values ​​of each reservation user due to large differences between the average acquisition interval, acquisition frequency, product value and acquisition times of each reservation user.

[0046] Optionally, the average acquisition interval, acquisition frequency, product value and acquisition times of each reservation user are standardized to obtain the standardized average acquisition interval, acquisition frequency, product value and acquisition times of each reservation user, including: standardizing the average acquisition interval of each reservation user through a first standardization processing rule to obtain the standardized average acquisition interval of each reservation user; standardizing the acquisition frequency, product value and acquisition times of each reservation user through a second standardization processing rule to obtain the standardized acquisition frequency, product value and acquisition times of each reservation user.

[0047] Therefore, the average acquisition interval of each reservation user can be standardized through standardized processing rules suitable for standardizing the average acquisition interval of each reservation user, and the acquisition frequency, product value and number of acquisitions of each reservation user can be standardized through standardized processing rules suitable for standardizing the acquisition frequency, product value and number of acquisitions of each reservation user, thereby ensuring the effectiveness of the standardized processing.

[0048] Optionally, the first standardized processing rule may be a standardized processing rule suitable for standardizing the average acquisition interval of each reservation user. The first standardized processing rule may be to substitute the average acquisition interval of each reservation user and the maximum and minimum values ​​of multiple average acquisition intervals corresponding to the average acquisition interval of each reservation user into the first standardized processing formula to obtain the standardized average acquisition interval of each reservation user. The first standardized processing formula may be a pre-set formula for determining the standardized average acquisition interval of a specified reservation user based on the average acquisition interval of a specified reservation user and the maximum and minimum values ​​of multiple average acquisition intervals corresponding to the average acquisition interval of the specified reservation user. The average acquisition interval of each reservation user is standardized by the first standardized processing rule to obtain the standardized average acquisition interval of each reservation user, including: arranging the average acquisition intervals of each reservation user in ascending order of value to form a sequence; for each reservation user, determining the standardized average acquisition interval of the reservation user by the following first standardized processing formula:

[0049]

[0050] Among them, X i ' j is the standardized average acquisition interval of the reservation users, x ij is the average acquisition interval of the reservation users, x nj is the average acquisition interval of the last reservation user in the sequence, max{x ij …x nj} is the maximum value of the average acquisition intervals starting from the average acquisition interval of the reservation user to the average acquisition interval of the last reservation user in the sequence, min{x ij …x nj} is the minimum value of each average acquisition interval starting from the average acquisition interval of the reservation user to the end of the average acquisition interval of the last reservation user in the sequence. The maximum value and the minimum value of each average acquisition interval starting from the average acquisition interval of the reservation user to the end of the average acquisition interval of the last reservation user in the sequence are the maximum value and the minimum value of the multiple average acquisition intervals corresponding to the average acquisition interval of the reservation user. For each reservation user, the maximum value and the minimum value of each average acquisition interval starting from the average acquisition interval of the reservation user to the end of the average acquisition interval of the last reservation user in the sequence can be counted, and the average acquisition interval of the reservation user and the counted maximum value and minimum value are substituted into the first standardization processing formula to obtain the standardized average acquisition interval of the reservation user. The smaller the average acquisition interval, the better, so negative standardization is adopted, and the average acquisition interval of each reservation user is standardized by the first standardization processing rule to obtain the standardized average acquisition interval of each reservation user.

[0051] Optionally, the second standardization processing rule may be a standardization processing rule suitable for standardizing the acquisition frequency, product value, and acquisition times of each reservation user. The second standardization processing rule may be to substitute the acquisition frequency, product value, and acquisition times of each reservation user, the minimum and maximum values ​​of the corresponding multiple acquisition frequencies, multiple product values, or multiple acquisition times into the second standardization processing formula to obtain the standardized acquisition frequency, product value, and acquisition times of each reservation user. The second standardization processing formula may be a pre-set formula for determining the standardized acquisition frequency of the designated reservation user based on the acquisition frequency of the designated reservation user and the minimum and maximum values ​​of the multiple acquisition frequencies corresponding to the acquisition frequency of the designated reservation user, determining the standardized product value of the designated reservation user based on the product value of the designated reservation user and the minimum and maximum values ​​of the multiple acquisition frequencies corresponding to the product value of the designated reservation user, or determining the standardized acquisition times of the designated reservation user based on the acquisition times of the designated reservation user and the minimum and maximum values ​​of the multiple acquisition frequencies corresponding to the acquisition times of the designated reservation user.

[0052] Optionally, the acquisition frequency of each reservation user is standardized by a second standardization processing rule to obtain a standardized acquisition frequency of each reservation user, including: arranging the acquisition frequencies of each reservation user from large to small according to the numerical value to form a sequence; for each reservation user, determining the standardized acquisition frequency of the reservation user by the following second standardization processing formula:

[0053]

[0054] Among them, X i 'j is the standardized acquisition frequency of the reservation user, x ij is the acquisition frequency of the reservation user, x nj is the acquisition frequency of the last reservation user in the sequence, min{x ij …x nj} is the minimum value of the acquisition frequencies in the sequence starting from the acquisition frequency of the reservation user to the acquisition frequency of the last reservation user, max{x ij …x nj} is the maximum value among the acquisition frequencies starting from the acquisition frequency of the reservation user to the acquisition frequency of the last reservation user in the sequence, and the minimum and maximum values ​​among the acquisition frequencies starting from the acquisition frequency of the reservation user to the acquisition frequency of the last reservation user in the sequence are the minimum and maximum values ​​among the multiple acquisition frequencies corresponding to the acquisition frequency of the reservation user. For each reservation user, the minimum and maximum values ​​among the acquisition frequencies starting from the acquisition frequency of the reservation user to the acquisition frequency of the last reservation user in the sequence can be counted, and the acquisition frequency of the reservation user, the maximum and minimum values ​​counted are substituted into the second standardization processing formula to obtain the standardized acquisition frequency of the reservation user. The larger the acquisition frequency, the better, so forward standardization is adopted, and the acquisition frequency of each reservation user is standardized through the second standardization processing rule to obtain the standardized acquisition frequency of each reservation user.

[0055] Optionally, the product value of each reservation user is standardized by a second standardization processing rule to obtain the standardized product value of each reservation user, including: arranging the product value of each reservation user from large to small according to the value to form a sequence; for each reservation user, determining the standardized product value of the reservation user by the following second standardization processing formula:

[0056]

[0057] Among them, X i ' j is the standardized product value of the reservation user, x jj is the product value of the reservation user, x nj is the product value of the last user who made an appointment in the sequence, min{x ij …x nj} is the minimum value of each product value in the sequence starting from the product value of the user who made the reservation to the product value of the last user who made the reservation, max{x ij …x nj} is the maximum value of each product value in the sequence starting from the product value of the reservation user to the product value of the last reservation user, and the minimum and maximum values ​​of each product value in the sequence starting from the product value of the reservation user to the product value of the last reservation user are the minimum and maximum values ​​of multiple product values ​​corresponding to the product value of the reservation user. For each reservation user, the minimum and maximum values ​​of each product value in the sequence starting from the product value of the reservation user to the product value of the last reservation user can be counted, and the product value of the reservation user and the counted maximum and minimum values ​​are substituted into the second standardization processing formula to obtain the standardized product value of the reservation user. The larger the product value, the better, so forward standardization is adopted, and the product value of each reservation user is standardized through the second standardization processing rule to obtain the standardized product value of each reservation user.

[0058] Optionally, the acquisition times of each reservation user are standardized by a second standardization processing rule to obtain the standardized acquisition times of each reservation user, including: arranging the acquisition times of each reservation user from large to small according to the numerical value to form a sequence; for each reservation user, determining the standardized acquisition times of the reservation user by the following second standardization processing formula:

[0059]

[0060] Among them, X i ' j is the standardized acquisition number of the reservation user, x ij is the number of times the reservation user is obtained, x nj is the number of times the last reservation user in the sequence is obtained, min{x ij …x nj} is the minimum value of the acquisition times in the sequence starting from the acquisition times of the reservation user to the acquisition times of the last reservation user, max{x ij …x nj} is the maximum value of each acquisition number in the sequence starting from the acquisition number of the reservation user to the acquisition number of the last reservation user, and the minimum and maximum values ​​of each acquisition number in the sequence starting from the acquisition number of the reservation user to the acquisition number of the last reservation user are the minimum and maximum values ​​of the multiple acquisition numbers corresponding to the acquisition number of the reservation user. For each reservation user, the minimum and maximum values ​​of each acquisition number in the sequence starting from the acquisition number of the reservation user to the acquisition number of the last reservation user can be counted, and the acquisition number of the reservation user, the maximum value and the minimum value counted are substituted into the second standardization processing formula to obtain the standardized acquisition number of the reservation user. The larger the acquisition number, the better, so forward standardization is adopted, and the acquisition number of each reservation user is standardized by the second standardization processing rule to obtain the standardized acquisition number of each reservation user.

[0061] Optionally, determining a classification evaluation value for each reservation user based on the standardized average acquisition interval, acquisition frequency, product value and acquisition times of each reservation user includes: performing the following operations for each reservation user: determining the product of the standardized average acquisition interval of the reservation user and the first weight value as the weighted average acquisition interval of the reservation user; determining the product of the standardized acquisition frequency of the reservation user and the second weight value as the weighted acquisition frequency of the reservation user; determining the product of the standardized product value of the reservation user and the third weight value as the weighted product value of the reservation user; determining the product of the standardized acquisition times of the reservation user and the fourth weight value as the weighted acquisition times of the reservation user; determining the classification evaluation value of the reservation user based on a classification evaluation value calculation formula and the weighted average acquisition interval, acquisition frequency, product value and acquisition times of the reservation user.

[0062] Thus, the classification evaluation value of each reservation user can be determined based on the standardized average acquisition interval, acquisition frequency, product value, acquisition times and corresponding weight value of each reservation user.

[0063] Optionally, the first weight value may be a pre-set value for characterizing the importance of the average acquisition interval. The second weight value may be a pre-set value for characterizing the importance of the acquisition frequency. The third weight value may be a pre-set value for characterizing the importance of the product value. The fourth weight value may be a pre-set value for characterizing the importance of the number of acquisitions. Exemplarily, the first weight value is 0.3, the second weight value is 0.15, the third weight value is 0.4, and the fourth weight value is 0.15.

[0064] Optionally, determining the classification evaluation value of the reservation user according to the classification evaluation value calculation formula and the weighted average acquisition interval, acquisition frequency, product value, and acquisition number of the reservation user includes: determining the classification evaluation value of the reservation user by the following classification evaluation value calculation formula:

[0065] S1=RS1+FS1+FM1+PS1,

[0066] Among them, S1 is the classification evaluation value of the reservation user, RS1 is the weighted average acquisition interval of the reservation user, FS1 is the weighted acquisition frequency of the reservation user, FM1 is the weighted product value of the reservation user, and PS1 is the weighted acquisition number of the reservation user. The classification evaluation value calculation formula can be a pre-set formula for determining the classification evaluation value of the reservation user based on the weighted average acquisition interval, acquisition frequency, product value and acquisition number of the reservation user.

[0067] Step 103: determine the user type of each reservation user according to the classification evaluation value and the associated evaluation value of each reservation user, and push the product information to each reservation user according to the product information push method corresponding to the user type of each reservation user.

[0068] Optionally, the associated evaluation value of the reserved user may be a value related to the reserved user that the preset user has authorized the business system of the financial institution to obtain and process. The business system of the financial institution stores the associated evaluation value of the reserved user. The associated evaluation value of the reserved user includes, but is not limited to: a value used to characterize the importance of the service behavior that the financial institution needs to provide to the reserved user, a value used to characterize the category of the service behavior that the financial institution needs to provide to the reserved user, and a value used to characterize the status of the reserved user.

[0069] Optionally, a plurality of different user types are pre-set in the business system of the financial institution. The product information push method corresponding to each user type is a method suitable for pushing product information to the reservation user whose user type is the user type. The product information may refer to information used to describe the products issued by the financial institution. For each reservation user, the user type of the reservation user may be one of the plurality of different user types.

[0070] Optionally, in a specific example, the user types pre-set in the business system of the financial institution include: a first user type, a second user type, a third user type, a fourth user type, a fifth user type, a sixth user type, a seventh user type, and an eighth user type. The product information push method corresponding to the first user type is that the product information can be pushed to the reservation user whose user type is the first user type through an offline method or an online method according to the first push frequency. The first push frequency can be a frequency suitable for pushing product information to the reservation user whose user type is the first user type. Pushing product information to the reservation user through an offline method can refer to sending information to the business personnel of the financial institution, prompting the business personnel of the financial institution to provide the product information to the reservation user. Pushing product information to the reservation user through an online method can refer to pushing product information to the terminal device used by the reservation user through an application. The product information push method corresponding to the second user type is that the product information can be pushed to the reservation user whose user type is the second user type through an offline method or an online method according to the second push frequency. The second push frequency can be a frequency suitable for pushing product information to the reservation user whose user type is the second user type. The product information push mode corresponding to the third user type is that product information can be pushed to the reservation user whose user type is the third user type through offline or online methods according to the third push frequency. The third push frequency may be a frequency suitable for pushing product information to the reservation user whose user type is the third user type. The product information push mode corresponding to the fourth user type is that product information can be pushed to the reservation user whose user type is the fourth user type through offline or online methods according to the fourth push frequency. The fourth push frequency may be a frequency suitable for pushing product information to the reservation user whose user type is the fourth user type. The product information push mode corresponding to the fifth user type is that product information can be pushed to the reservation user whose user type is the fifth user type through offline or online methods according to the fifth push frequency. The fifth push frequency may be a frequency suitable for pushing product information to the reservation user whose user type is the fifth user type. The product information push mode corresponding to the sixth user type is that product information can be pushed to the reservation user whose user type is the sixth user type through offline and online methods according to the sixth push frequency. The sixth push frequency may be a frequency suitable for pushing product information to the reservation user whose user type is the sixth user type. The product information push method corresponding to the seventh user type is to push product information to the reservation user of the seventh user type through an offline method or an online method according to the seventh push frequency. The seventh push frequency may be a frequency suitable for pushing product information to the reservation user of the seventh user type. The product information push method corresponding to the eighth user type is to push product information to the reservation user of the eighth user type through an offline method or an online method according to the eighth push frequency.The eighth push frequency may be a frequency suitable for pushing product information to the reservation users whose user type is the eighth user type.

[0071] Optionally, the user type of each reservation user is determined based on the classification evaluation value and the associated evaluation value of each reservation user, including: determining the sum of the classification evaluation value and the associated evaluation value of each reservation user as the final classification evaluation value of each reservation user; and determining the user type of each reservation user based on the final classification evaluation value of each reservation user and the classification evaluation value range of each user type.

[0072] In this way, the classification evaluation value and the associated evaluation value of each reservation user can be superimposed to obtain the final classification evaluation value of each reservation user, and the user type of each reservation user can be automatically determined based on the final classification evaluation value of each reservation user and the classification evaluation value range of each user type.

[0073] Optionally, for each reservation user, the associated evaluation value of the reservation user can be obtained from the business system of the financial institution, and the sum of the classification evaluation value and the associated evaluation value of the reservation user is calculated, and the calculated sum of the classification evaluation value and the associated evaluation value of the reservation user is determined as the final classification evaluation value of the reservation user.

[0074] Optionally, for each user type, the classification evaluation value interval of the user type may be a value interval that includes the final classification evaluation values ​​of all the reserved users whose user type is the user type. The final classification evaluation value of each reserved user will be included in the classification evaluation value interval of a user type. If the final classification evaluation value of the reserved user is included in the classification evaluation value interval of a certain user type, it can be determined that the user type of the reserved user is the user type. The classification evaluation value intervals of each user type are stored in the business system of the financial institution.

[0075] Optionally, in a specific example, the user types pre-set in the business system of the financial institution include: a first user type, a second user type, a third user type, a fourth user type, a fifth user type, a sixth user type, a seventh user type, and an eighth user type. The classification evaluation value interval of the first user type is greater than or equal to 0.8. The classification evaluation value interval of the second user type is greater than or equal to 0.7 and less than 0.8. The classification evaluation value interval of the third user type is greater than or equal to 0.6 and less than 0.7. The classification evaluation value interval of the fourth user type is greater than or equal to 0.5 and less than 0.6. The classification evaluation value interval of the fifth user type is greater than or equal to 0.4 and less than 0.5. The classification evaluation value interval of the sixth user type is greater than or equal to 0.3 and less than 0.4. The classification evaluation value interval of the seventh user type is greater than or equal to 0.2 and less than 0.3. The classification evaluation value interval of the eighth user type is less than 0.2.

[0076] Optionally, the user type of each reserved user is determined based on the final classification evaluation value of each reserved user and the classification evaluation value interval of each user type, including: performing the following operation for each reserved user: determining the target user type whose classification evaluation value interval in each user type includes the final classification evaluation value of the reserved user as the user type of the reserved user.

[0077] Thus, the user type of the reservation user can be automatically determined among various user types based on the numerical relationship between the classification evaluation value interval and the final classification evaluation value of the reservation user, so as to facilitate subsequent targeted information push according to the user type of the reservation user.

[0078] Optionally, the target user type is a user type whose classification evaluation value interval in each user type includes the final classification evaluation value of the reservation user. The target user type is the user type of the reservation user. For each reservation user, it can be determined whether the classification evaluation value interval of each user type includes the final classification evaluation value of the reservation user, and the target user type whose classification evaluation value interval includes the final classification evaluation value of the reservation user is determined as the user type of the reservation user. After determining the user type of the reservation user, the product information is pushed to the reservation user according to the product information push method corresponding to the user type of each reservation user.

[0079] Optionally, if the reservation user is a first user type, product information can be pushed to the reservation user offline or online according to the first push frequency. If the reservation user is a second user type, product information can be pushed to the reservation user offline or online according to the second push frequency. If the reservation user is a third user type, product information can be pushed to the reservation user offline or online according to the third push frequency. If the reservation user is a fourth user type, product information can be pushed to the reservation user offline or online according to the fourth push frequency. If the reservation user is a fifth user type, product information can be pushed to the reservation user offline or online according to the fifth push frequency. If the reservation user is a sixth user type, product information can be pushed to the reservation user offline and online according to the sixth push frequency. If the reservation user is a seventh user type, product information can be pushed to the reservation user offline or online according to the seventh push frequency. If the reservation user is an eighth user type, product information can be pushed to the reservation user offline or online according to the eighth push frequency.

[0080] The technical solution of the embodiment of the present invention determines the product statistical information of each reservation user according to the product acquisition record information of each reservation user; the product statistical information includes: average acquisition interval, acquisition frequency, product value and acquisition times; then, according to the product statistical information of each reservation user, the classification evaluation value of each reservation user is determined; finally, according to the classification evaluation value and the associated evaluation value of each reservation user, the user type of each reservation user is determined, and according to the product information push method corresponding to the user type of each reservation user, the product information is pushed to each reservation user, so that the product information push solution in the related art is not flexible in pushing product information, and it is impossible to determine the user type of each user who sends the product reservation request through the authorized information of each user who sends the product reservation request stored in the business system of the financial institution, and To solve the problem of targeted information push based on user type, the product statistical information of each reservation user can be determined based on the product acquisition record information, and then the classification evaluation value of each reservation user can be determined based on the determined product statistical information. The user type of each reservation user can be determined based on the classification evaluation value and the associated evaluation value of each reservation user. The user type of each user who sends a product reservation request can be determined through the authorized information of each user who sends a product reservation request stored in the business system of the financial institution. Product information can be pushed to each reservation user according to the product information push method corresponding to the determined user type of each reservation user, so that information can be pushed in a targeted manner according to the user type. Product information can be pushed in a manner suitable for each user who sends a product reservation request, thereby improving the flexibility of the product information push process.

[0081] Embodiment 2

[0082] Figure 2 This is a flowchart of a product information push method provided in Embodiment 2 of the present invention. This embodiment of the present invention can be combined with each optional solution in one or more of the above embodiments. Figure 2 As shown, the method includes:

[0083] Step 201: Determine the average acquisition interval, acquisition frequency, product value and acquisition times of each scheduled user based on the product acquisition record information of each scheduled user.

[0084] Step 202: Standardize the average acquisition interval, acquisition frequency, product value, and acquisition times of each subscription user to obtain the standardized average acquisition interval, acquisition frequency, product value, and acquisition times of each subscription user.

[0085] Step 203: Determine the classification evaluation value of each reservation user according to the standardized average acquisition interval, acquisition frequency, product value and acquisition times of each reservation user.

[0086] Step 204: Determine the sum of the classification evaluation value and the associated evaluation value of each reservation user as the final classification evaluation value of each reservation user.

[0087] Step 205: Determine the user type of each reservation user according to the final classification evaluation value of each reservation user and the classification evaluation value interval of each user type.

[0088] Step 206: Push product information to each reservation user according to the product information push method corresponding to the user type of each reservation user.

[0089] The technical solution of the embodiment of the present invention can determine the average acquisition interval, acquisition frequency, product value and acquisition times of each reservation user based on the product acquisition record information, and then determine the classification evaluation value of each reservation user based on the standardized average acquisition interval, acquisition frequency, product value and acquisition times, and determine the user type of each reservation user based on the classification evaluation value and the associated evaluation value of each reservation user, so as to determine the user type of each user who sends the product reservation request through the authorized information of each user who sends the product reservation request stored in the business system of the financial institution, and push product information to each reservation user according to the product information push method corresponding to the determined user type of each reservation user, so as to carry out targeted information push according to the user type, push product information in a way suitable for each user who sends the product reservation request, and improve the flexibility of the product information push process.

[0090] Embodiment 3

[0091] Figure 3 This is a schematic diagram of the structure of a product information push device provided in Embodiment 3 of the present invention. The device can be configured in the business system of a financial institution. Figure 3 As shown, the device includes: an information determination module 301, a value determination module 302 and an information push module 303.

[0092] Among them, the information determination module 301 is used to determine the product statistical information of each reservation user based on the product acquisition record information of each reservation user; wherein the product statistical information includes: average acquisition interval, acquisition frequency, product value and number of acquisitions; the value determination module 302 is used to determine the classification evaluation value of each reservation user based on the product statistical information of each reservation user; the information push module 303 is used to determine the user type of each reservation user based on the classification evaluation value and the associated evaluation value of each reservation user, and push the product information to each reservation user according to the product information push method corresponding to the user type of each reservation user.

[0093] The technical solution of the embodiment of the present invention determines the product statistical information of each reservation user according to the product acquisition record information of each reservation user; the product statistical information includes: average acquisition interval, acquisition frequency, product value and acquisition times; then, according to the product statistical information of each reservation user, the classification evaluation value of each reservation user is determined; finally, according to the classification evaluation value and the associated evaluation value of each reservation user, the user type of each reservation user is determined, and according to the product information push method corresponding to the user type of each reservation user, the product information is pushed to each reservation user, so that the product information push solution in the related art is not flexible in pushing product information, and it is impossible to determine the user type of each user who sends the product reservation request through the authorized information of each user who sends the product reservation request stored in the business system of the financial institution, and To solve the problem of targeted information push based on user type, the product statistical information of each reservation user can be determined based on the product acquisition record information, and then the classification evaluation value of each reservation user can be determined based on the determined product statistical information. The user type of each reservation user can be determined based on the classification evaluation value and the associated evaluation value of each reservation user. The user type of each user who sends a product reservation request can be determined through the authorized information of each user who sends a product reservation request stored in the business system of the financial institution. Product information can be pushed to each reservation user according to the product information push method corresponding to the determined user type of each reservation user, so that information can be pushed in a targeted manner according to the user type. Product information can be pushed in a manner suitable for each user who sends a product reservation request, thereby improving the flexibility of the product information push process.

[0094] In an optional implementation of an embodiment of the present invention, optionally, the value determination module 302 is specifically used to: standardize the average acquisition interval, acquisition frequency, product value and acquisition times of each scheduled user to obtain the standardized average acquisition interval, acquisition frequency, product value and acquisition times of each scheduled user; determine the classification evaluation value of each scheduled user based on the standardized average acquisition interval, acquisition frequency, product value and acquisition times of each scheduled user.

[0095] In an optional implementation of an embodiment of the present invention, optionally, when the value determination module 302 performs the operation of standardizing the average acquisition interval, acquisition frequency, product value and acquisition times of each reservation user to obtain the standardized average acquisition interval, acquisition frequency, product value and acquisition times of each reservation user, it is specifically used to: standardize the average acquisition interval of each reservation user through a first standardization processing rule to obtain the standardized average acquisition interval of each reservation user; standardize the acquisition frequency, product value and acquisition times of each reservation user through a second standardization processing rule to obtain the standardized acquisition frequency, product value and acquisition times of each reservation user.

[0096] In an optional implementation of the embodiment of the present invention, optionally, when the value determination module 302 performs the operation of determining the classification evaluation value of each reservation user according to the standardized average acquisition interval, acquisition frequency, product value and acquisition number of each reservation user, it is specifically used to: perform the following operations for each reservation user: determine the product between the standardized average acquisition interval of the reservation user and the first weight value as the weighted average acquisition interval of the reservation user; determine the product between the standardized acquisition frequency of the reservation user and the second weight value as the weighted acquisition frequency of the reservation user; determine the product between the standardized product value of the reservation user and the third weight value as the weighted product value of the reservation user; determine the product between the standardized acquisition number of the reservation user and the fourth weight value as the weighted acquisition number of the reservation user; determine the classification evaluation value of the reservation user according to the classification evaluation value calculation formula and the weighted average acquisition interval, acquisition frequency, product value and acquisition number of the reservation user.

[0097] In an optional implementation of an embodiment of the present invention, optionally, when the information push module 303 performs the operation of determining the user type of each reservation user based on the classification evaluation value and the associated evaluation value of each reservation user, it is specifically used to: determine the sum of the classification evaluation value and the associated evaluation value of each reservation user as the final classification evaluation value of each reservation user; determine the user type of each reservation user based on the final classification evaluation value of each reservation user and the classification evaluation value range of each user type.

[0098] In an optional implementation of the embodiment of the present invention, optionally, when the information push module 303 performs the operation of determining the user type of each reserved user based on the final classification evaluation value of each reserved user and the classification evaluation value interval of each user type, it is specifically used to: perform the following operation for each reserved user: determine the target user type whose classification evaluation value interval in each user type contains the final classification evaluation value of the reserved user as the user type of the reserved user.

[0099] The product information push device provided in the embodiment of the present invention can execute the product information push method provided in any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the execution method.

[0100] Embodiment 4

[0101] Figure 4 A schematic diagram of the structure of an electronic device 10 that can be used to implement the product information push method of an embodiment of the present invention is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workbenches, personal digital assistants, electronic devices, blade electronic devices, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices (such as helmets, glasses, watches, etc.) and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present invention described and / or required herein.

[0102] like Figure 4As shown, the electronic device 10 includes at least one processor 11, and a memory connected to the at least one processor 11, such as a read-only memory (ROM) 12, a random access memory (RAM) 13, etc., wherein the memory stores a computer program that can be executed by at least one processor, and the processor 11 can perform various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 12 or the computer program loaded from the storage unit 18 to the random access memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 10 can also be stored. The processor 11, the ROM 12, and the RAM 13 are connected to each other through a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0103] A number of components in the electronic device 10 are connected to the I / O interface 15, including: an input unit 16, such as a keyboard, a mouse, etc.; an output unit 17, such as various types of displays, speakers, etc.; a storage unit 18, such as a disk, an optical disk, etc.; and a communication unit 19, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0104] The processor 11 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any appropriate processor, controller, microcontroller, etc. The processor 11 executes the various methods and processes described above, such as a product information push method.

[0105] In some embodiments, the product information push method may be implemented as a computer program, which is tangibly contained in a computer-readable storage medium, such as a storage unit. In some embodiments, part or all of the computer program may be loaded and / or installed on a heterogeneous hardware accelerator via a ROM and / or a communication unit. When the computer program is loaded into RAM and executed by a processor, one or more steps of the product information push method described above may be performed. Alternatively, in other embodiments, the processor may be configured to execute the product information push method in any other appropriate manner (e.g., by means of firmware).

[0106] Various implementations of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various implementations can include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0107] Computer programs for implementing the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, so that when the computer program is executed by the processor, the functions / operations specified in the flow chart and / or block diagram are implemented. The computer program may be executed entirely on the machine, partially on the machine, partially on the machine and partially on a remote machine as a stand-alone software package, or entirely on a remote machine or electronic device.

[0108] In the context of the present invention, a computer-readable storage medium may be a tangible medium that may contain or store a computer program for use by or in combination with an instruction execution system, device or equipment. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices or equipment, or any suitable combination of the foregoing. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0109] To provide interaction with a user, the systems and techniques described herein may be implemented on a heterogeneous hardware accelerator having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and pointing device (e.g., a mouse or trackball) through which a user can provide input to the heterogeneous hardware accelerator. Other types of devices may also be used to provide interaction with a user; for example, the feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form (including acoustic input, voice input, or tactile input).

[0110] The systems and techniques described herein may be implemented in a computing system that includes backend components (e.g., as a data electronic device), or a computing system that includes middleware components (e.g., an application electronic device), or a computing system that includes frontend components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such backend components, middleware components, or frontend components. The components of the system may be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), a blockchain network, and the Internet.

[0111] The computing system may include a client and an electronic device. The client and the electronic device are generally remote from each other and usually interact through a communication network. The relationship between the client and the electronic device is generated by computer programs running on corresponding computers and having a client-electronic device relationship with each other. The electronic device may be a cloud electronic device, also known as a cloud computing electronic device or a cloud host, which is a host product in the cloud computing service system to solve the defects of difficult management and weak business scalability in traditional physical hosts and VPS services.

[0112] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps described in the present invention can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solution of the present invention can be achieved, and this document does not limit this.

[0113] The above specific implementations do not constitute a limitation on the protection scope of the present invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A product information push method, characterized in that: include: Determine product statistics of each user according to the product acquisition record information of each user; wherein the product statistics include: average acquisition interval, acquisition frequency, product value and acquisition times; Determine the classification evaluation value of each reservation user based on the product statistical information of each reservation user; The user type of each reservation user is determined according to the classification evaluation value and the associated evaluation value of each reservation user, and the product information is pushed to each reservation user according to the product information push method corresponding to the user type of each reservation user.

2. The product information push method according to claim 1, characterized in that: According to the product statistics of each reservation user, the classification evaluation value of each reservation user is determined, including: The average acquisition interval, acquisition frequency, product value and acquisition times of each reservation user are standardized to obtain the standardized average acquisition interval, acquisition frequency, product value and acquisition times of each reservation user; The classification evaluation value of each reservation user is determined based on the standardized average acquisition interval, acquisition frequency, product value and acquisition times of each reservation user.

3. The product information push method according to claim 2, characterized in that: The average acquisition interval, acquisition frequency, product value and acquisition times of each reservation user are standardized to obtain the standardized average acquisition interval, acquisition frequency, product value and acquisition times of each reservation user, including: The average acquisition interval of each reservation user is standardized by a first standardization processing rule to obtain a standardized average acquisition interval of each reservation user; The acquisition frequency, product value and acquisition times of each reservation user are standardized through the second standardization processing rule to obtain the standardized acquisition frequency, product value and acquisition times of each reservation user.

4. The product information push method according to claim 2, characterized in that: According to the standardized average acquisition interval, acquisition frequency, product value and acquisition times of each reservation user, the classification evaluation value of each reservation user is determined, including: Perform the following operations for each scheduled user: Determine the product of the standardized average acquisition interval of the reserved users and the first weight value as the weighted average acquisition interval of the reserved users; Determine the product of the normalized acquisition frequency of the reserved user and the second weight value as the weighted acquisition frequency of the reserved user; Determine the product value after weighting of the reserved user by multiplying the standardized product value of the reserved user and the third weight value as the weighted product value of the reserved user; Determine the product of the standardized acquisition number of the reserved user and the fourth weight value as the weighted acquisition number of the reserved user; The classification evaluation value of the reservation user is determined according to the classification evaluation value calculation formula and the weighted average acquisition interval, acquisition frequency, product value, and acquisition times of the reservation user.

5. The product information push method according to claim 1, characterized in that: According to the classification evaluation value and the associated evaluation value of each reservation user, the user type of each reservation user is determined, including: The sum of the classification evaluation value and the associated evaluation value of each reservation user is determined as the final classification evaluation value of each reservation user; The user type of each reserved user is determined according to the final classification evaluation value of each reserved user and the classification evaluation value interval of each user type.

6. The product information push method according to claim 5, characterized in that: According to the final classification evaluation value of each reservation user and the classification evaluation value range of each user type, the user type of each reservation user is determined, including: Perform the following operations for each scheduled user: The target user type whose classification evaluation value interval in each user type includes the final classification evaluation value of the reserved user is determined as the user type of the reserved user.

7. A product information push device, characterized in that: include: An information determination module is used to determine product statistical information of each reservation user according to the product acquisition record information of each reservation user; wherein the product statistical information includes: average acquisition interval, acquisition frequency, product value and acquisition times; A value determination module is used to determine the classification evaluation value of each reservation user according to the product statistical information of each reservation user; The information push module is used to determine the user type of each reservation user according to the classification evaluation value and the associated evaluation value of each reservation user, and push product information to each reservation user according to the product information push method corresponding to the user type of each reservation user.

8. An electronic device, characterized in that: The electronic device comprises: at least one processor; and a memory communicatively coupled to the at least one processor; The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the product information push method according to any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the product information push method according to any one of claims 1 to 6 when executed.

10. A computer program product, characterized in that The computer program product comprises a computer program, and when the computer program is executed by a processor, the product information pushing method according to any one of claims 1 to 6 is implemented.

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