Point fission system and method based on Internet point shopping mall

Abstract

The invention provides a point fission system and method based on an internet point mall, and relates to the technical field of point fission, and the system comprises a first obtaining module which is used for obtaining the historical point data corresponding to each user in a plurality of users, so as to obtain the point fission participation degree corresponding to each user; the second acquisition module is used for acquiring a user portrait corresponding to each user in the plurality of users so as to obtain an integral fission family corresponding to each user; wherein each integral fission family comprises a plurality of integral fission methods; each integral fission method in each integral fission family has a corresponding integral fission participation degree; and the method determination module is used for determining an integral fission method corresponding to each user according to the integral fission participation degree and the integral fission family corresponding to each user. According to the method, a proper point fission method is determined for each user. The user group expansion and the user activeness improvement can be better realized.

Description

Background Art

[0002] In many commercial operations and user incentive systems today, the point fission method is widely used. Point fission usually refers to a series of mechanisms such as users obtaining points, consuming points, and driving new users to participate through points, in order to achieve the purpose of expanding the user group and improving user activity.

[0003] For example, common online e-commerce platforms and offline retail stores' membership systems all have points rules. Users can earn points after shopping, commenting, sharing, etc. on the platform. Points accumulated to a certain level can be used to redeem goods, coupons, or participate in lucky draws. At the same time, some platforms will also give extra points based on users' recommendation of new user registrations, so as to stimulate users to actively attract new users and form a fission effect of points.

[0004] Offline, businesses like chain coffee shops and gyms also use point incentives in their membership systems. Points are converted according to the amount of consumption, and the points can be redeemed for benefits such as drink upgrades and free fitness classes. This encourages members to continue consuming and recommend friends to become members, thereby expanding the customer base.

[0005] However, most of these existing point fission methods use unified and standardized rules for all users. In other words, whether the user is a newly registered primary user, a long-term active, high-level loyal user, or a user with different consumption preferences (for example, some users prefer to buy electronic products, while others prefer to buy beauty products), the platform often uses exactly the same point acquisition, consumption, and fission mechanisms to treat them. As a result, it is impossible to achieve accurate incentives for various types of users, and it is difficult to maximize the role of point fission in user expansion, activity improvement, etc. Therefore, there is an urgent need for a point fission method that can be tailored to each user's activity, user level, preferences, etc., in order to make up for the shortcomings of existing technologies and more efficiently play the value of points in commercial operations and user incentive systems. Summary of the invention

[0006] In response to the above technical problems, the present application provides a points fission system and method based on an Internet points mall, which at least partially solves the problems existing in the prior art.

[0007] In a first aspect of the present application, a points fission system based on an Internet points mall is provided, the system comprising:

[0008] The first acquisition module is used to acquire the historical points data corresponding to each user among a plurality of users, so as to obtain the points fission participation degree corresponding to each user;

[0009] The second acquisition module is used to acquire a user portrait corresponding to each user among a plurality of users, so as to obtain a cumulative fission family corresponding to each user; wherein each cumulative fission family includes a plurality of cumulative fission methods; and each cumulative fission method in each cumulative fission family has a corresponding cumulative fission participation degree;

[0010] The method determination module is used to determine the corresponding integral fission method for each user according to the integral fission participation degree and the integral fission family corresponding to each user.

[0011] In a second aspect of the present application, a points fission method based on an Internet points mall is provided, the method comprising:

[0012] Obtaining historical points data corresponding to each of a number of users to obtain the points fission participation corresponding to each user;

[0013] Obtain a user portrait corresponding to each user from a number of users to obtain a cumulative fission family corresponding to each user; wherein each cumulative fission family includes a number of cumulative fission methods; each cumulative fission method in each cumulative fission family has a corresponding cumulative fission participation degree;

[0014] According to the accumulation fission participation and accumulation fission family corresponding to each user, the accumulation fission method corresponding to each user is determined.

[0015] This application has at least the following beneficial effects:

[0016] The points fission system based on the Internet points mall provided by the present application first obtains the historical points data corresponding to each user among several users to obtain the points fission participation degree corresponding to each user; secondly, obtains the user portrait corresponding to each user among several users to obtain the points fission family corresponding to each user; wherein each points fission family includes several points fission methods; each points fission method in each points fission family has a corresponding points fission participation degree; finally, according to the points fission participation degree and points fission family corresponding to each user, the points fission method corresponding to each user is determined. Here, according to the points usage, points activity, user's habitual preferences and other factors corresponding to each user, a suitable points fission method is determined for each user. It can better achieve the expansion of the user group and the improvement of user activity. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0018] Figure 1 A structural block diagram of a points fission system based on an Internet points mall provided in an embodiment of the present application;

[0019] Figure 2 A flowchart of a points fission method based on an Internet points mall provided in an embodiment of the present application. DETAILED DESCRIPTION

[0020] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of this application.

[0021] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application 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 interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or server that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0022] It should be noted that various aspects of the embodiments within the scope of the appended claims are described below. It should be apparent that the aspects described herein may be embodied in a wide variety of forms, and any specific structure and / or function described herein is merely illustrative. Based on the present application, it should be understood by those skilled in the art that an aspect described herein may be implemented independently of any other aspect, and two or more of these aspects may be combined in various ways. For example, any number of aspects described herein may be used to implement the device and / or practice the method. In addition, other structures and / or functionalities other than one or more of the aspects described herein may be used to implement this device and / or practice this method.

[0023] Please refer to Figure 1 As shown, the embodiment of the present application provides a points fission system 100 based on an Internet points mall, the system comprising: a first acquisition module 110, a second acquisition module 120 and a method determination module 130; wherein,

[0024] The first acquisition module 110 is used to acquire historical score data corresponding to each user among a plurality of users, so as to obtain the score fission participation degree corresponding to each user.

[0025] Specifically, the integral fission participation degree indicates the user's required participation degree for the corresponding integral fission method. The higher the integral fission participation degree, the higher the user's required participation degree for the corresponding integral fission method.

[0026] In an exemplary embodiment of the present application, the first acquisition module includes:

[0027] The first acquisition unit is used to acquire historical point data corresponding to each user among a plurality of users to obtain a point activity level corresponding to each user.

[0028] Wherein, the first acquisition unit includes:

[0029] The integral acquisition subunit is used to acquire the integral data of each user at each target time point in the target time window, so as to obtain the integral data change curve list QL = (QL1, QL2, ..., QL i , …, QL n ), i = 1, 2, ..., n, where n is the number of users; QL i is the integral data change curve corresponding to the i-th user; the end time of the target time window is the current time; the time distance between any two adjacent target time points is equal.

[0030] Here, obtaining the changes in the user's points data in the recent period can reflect the user's use of and attention to the points in the recent period.

[0031] The activity determination subunit is used to determine the model according to QL and activity level, and obtain the integral activity level list H = (H1, H2, ..., H i , …, H n ), where H i is the points activity level corresponding to the i-th user.

[0032] Here, the higher the score activity level, the more the user has used and paid more attention to the score in the recent period, and vice versa, the less the user has used and paid less attention to the score in the recent period. For example, if the score data change curve corresponding to a certain user decreases smoothly, it means that the user may have used and paid less attention to the score in the recent period, which may be caused by the expiration of the score. In this case, the corresponding score activity level is low. Or if the score data change curve corresponding to a certain user fluctuates frequently, it means that the user may have used and paid more attention to the score in the recent period, which may be caused by the continuous use of points and acquisition of new points. In this case, the corresponding score activity level is high.

[0033] The second acquisition unit is used to acquire the historical score data corresponding to each user among the plurality of users to obtain the fixed score level corresponding to each user; wherein the fixed score level is the score level corresponding to the highest historical score data.

[0034] The fixed score level is the score level corresponding to the highest score data in history. For example, if a user's current score level is level 2 and its corresponding fixed score level is level 5, it means that the user used to be a heavy user, but the current score level may drop due to low current activity.

[0035] The participation determination unit is used to obtain the point fission participation corresponding to each user according to the point activity level and the fixed point level corresponding to each user.

[0036] Here, the cumulative fission participation J corresponding to the i-th user i Meet the following conditions:

[0037] J i =F i *(a Hi -1);

[0038] Among them, F i is the fixed score level corresponding to the i-th user, a is the preset base number; H i >0.

[0039] F i The larger the value is, the greater the historical participation of the user in the cumulative fission, and the user's current activity may be reduced or still very high. i With J i is positively correlated, that is, the greater the historical participation of the user in the splitting of points, the greater the user's attention to the points situation, and the more it is necessary to improve the user stickiness of this type of user. iIt is also related to the current activity level. The higher the current points activity level, the more attention the user pays to the points situation. At this time, the user's required participation should be increased to encourage the user to frequently participate in points fission activities.

[0040] It should be noted that the higher the participation in points fission, the more new users need to be developed or the more tasks need to be completed to obtain the same points. In this embodiment, the participation in points fission is determined based on the user's corresponding fixed points level and current points activity level. That is, users with high participation in points fission have higher corresponding participation in points fission and higher corresponding fixed points level. This means that the user currently or currently and in historical time has a higher attention to points fission and is more enthusiastic. Therefore, in order to better develop new users or improve user activity, the corresponding participation in points fission is improved.

[0041] And J i With F i Linearly related to H i Exponential correlation, i.e. J i H i (Current activity level) has a greater impact. The resulting point fission participation is more reasonable, that is, users with high current activity can expand more new users or do more tasks in order to obtain points. On the contrary, if users with low current activity are set with a lower point fission participation in order to increase their interest in point fission, they can obtain more points by expanding fewer new users or doing fewer tasks. This improves user stickiness.

[0042] The second acquisition module 120 is used to obtain a user portrait corresponding to each user among a number of users to obtain a cumulative fission family corresponding to each user; wherein each cumulative fission family includes a number of cumulative fission methods; and each cumulative fission method in each cumulative fission family has a corresponding cumulative fission participation degree.

[0043] Specifically, the second acquisition module includes:

[0044] The portrait acquisition unit is used to acquire a user portrait corresponding to each user among a plurality of users.

[0045] User portraits include the user’s basic information, search preferences on the corresponding platform, consumption preferences, etc.

[0046] The probability determination unit is used to obtain the portrait type probability of the user portrait corresponding to each user according to the classification model to obtain the portrait type probability list set LB = (LB1, LB2, ..., LB i , …, LB n ), where LB i LB is the portrait type probability table corresponding to the i-th user; i=(LB i，1 , L.B. i，2 , …, LB i，j , …, LB i，m );j=1,2,…,m;wherein, m is the number of image types; LB i，j is the probability that the i-th user belongs to the j-th portrait type.

[0047] Here, the portrait types may include travel preference, home preference, electronic product preference, etc.

[0048] The label determination unit is used to obtain the necessary image type labels corresponding to each of the plurality of integrated fission families; so as to obtain the necessary image list label set Z = (Z1, Z2, ..., Z x , …, Z y ); x = 1, 2, ..., y; where y is the number of the multiplication family; Z x is the necessary image type label list corresponding to the xth product fission family; Z x =(Z x，1 , Z x，2 , …, Z x，c , …, Z x，f(x) ); c = 1, 2, ..., f(x); f(x) is the number of necessary image type labels corresponding to the x-th product fission family; Z x，c is the cth necessary portrait type label corresponding to the xth product fission family; the necessary portrait type corresponding to any necessary portrait type label belongs to one of the m portrait types.

[0049] Here, each accumulation fission family is a family composed of a large class of specific targeted accumulation fission methods, and each accumulation fission method also has a corresponding necessary image type label. As an example: the necessary image type labels corresponding to a certain accumulation fission family may be travel preference and electronic product preference, that is, the corresponding accumulation fission methods in the family are all set for users who prefer travel and electronic product categories.

[0050] A matching degree determination unit is used to obtain a matching degree list set P=(P1, P2, ..., P i ,…,P n );P i is the matching degree list corresponding to the i-th user; P i =(P i，1 , P i，2 ,…,P i，x ,…,P i，y );P i，x is the matching degree between the i-th user and the x-th product fission family.

[0051] Here, Pi，x Meet the following conditions:

[0052]

[0053] Among them, LB i，c The i-th user belongs to Z x，c The probability of the same image type.

[0054] It can be understood that if the total probability of the necessary portrait type label corresponding to a certain integral fission family in the portrait type probability list corresponding to a certain user is higher, it means that the matching degree between the user and the integral fission family is higher.

[0055] A family determination unit is used to obtain a corresponding multiplication family list JZ=(JZ1, JZ2, ..., JZ i , …, JZ n );JZ i is the family ID of the multiplication family corresponding to the i-th user; JZ i is MAX(P i ) is the family identifier of the product fission family corresponding to the value; MAX() is the preset maximum value determination function.

[0056] The method determination module 130 is used to determine the corresponding integral fission method for each user according to the integral fission participation degree and the integral fission family corresponding to each user.

[0057] Specifically, since each integral fission mutation method in the integral fission mutation family has a corresponding integral fission mutation participation, the most appropriate integral fission mutation method is selected in the determined integral fission mutation family according to the corresponding integral fission mutation participation. As an example: if the integral fission mutation participation corresponding to user i is 6, the corresponding integral fission mutation family is family A, the integral fission mutation participation corresponding to integral fission mutation method A in family A is 3, and the integral fission mutation participation corresponding to integral fission mutation method B in family A is 6, then integral fission mutation method B is selected as the integral fission mutation method of user i.

[0058] Please refer to Figure 2 As shown, the embodiment of the present application provides a point splitting method based on an Internet point mall. For a detailed description of the method, please refer to the above system embodiment, which will not be repeated here. The method includes the following steps:

[0059] Step S100, obtaining historical points data corresponding to each user among a number of users to obtain the points fission participation degree corresponding to each user.

[0060] Step S200, obtaining a user portrait corresponding to each user among a plurality of users to obtain a cumulative fission family corresponding to each user; wherein each cumulative fission family includes a plurality of cumulative fission methods; and each cumulative fission method in each cumulative fission family has a corresponding cumulative fission participation degree.

[0061] Step S300, determining the corresponding integral fission method for each user according to the integral fission participation degree and the integral fission family corresponding to each user.

[0062] In an exemplary embodiment of the present application, step S100 further includes the following steps:

[0063] Obtain historical points data corresponding to each of a number of users to obtain the points activity level corresponding to each user.

[0064] The historical score data corresponding to each user among a plurality of users is obtained to obtain a fixed score level corresponding to each user; wherein the fixed score level is the score level corresponding to the highest historical score data.

[0065] According to the point activity level and fixed point level corresponding to each user, the point fission participation corresponding to each user is obtained.

[0066] In an exemplary embodiment of the present application, the acquiring of historical points data corresponding to each user among a plurality of users to obtain a points activity level corresponding to each user includes:

[0067] Obtain the integral data of each user at each target time point in the target time window among a number of users to obtain an integral data change curve list QL = (QL1, QL2, ..., QL i , …, QL n ), i = 1, 2, ..., n, where n is the number of users; QL i is the integral data change curve corresponding to the i-th user; the end time of the target time window is the current time; the time distance between any two adjacent target time points is equal.

[0068] Determine the model based on QL and activity level to obtain the score activity level list H = (H1, H2, ..., H i , …, H n ), where H i is the points activity level corresponding to the i-th user.

[0069] In an exemplary embodiment of the present application, the cumulative fission participation degree J corresponding to the i-th user is i Meet the following conditions:

[0070] J i =F i*(a Hi -1);

[0071] Among them, F i is the fixed score level corresponding to the i-th user, a is the preset base number; H i >0.

[0072] In an exemplary embodiment of the present application, step S200 further includes the following steps:

[0073] Obtain a user portrait corresponding to each of a number of users;

[0074] According to the classification model, the portrait type probability of the user portrait corresponding to each user is obtained to obtain the portrait type probability list set LB = (LB1, LB2, ..., LB i , …, LB n ), where LB i is the portrait type probability table corresponding to the i-th user;

[0075] LB i =(LB i，1 , L.B. i，2 , …, LB i，j , …, LB i，m );j=1,2,…,m;wherein, m is the number of image types; LB i，j is the probability that the i-th user belongs to the j-th portrait type;

[0076] Obtain the necessary image type labels corresponding to each of the several multiplication families; to obtain the necessary image list label set Z = (Z1, Z2, ..., Z x , …, Z y ); x = 1, 2, ..., y; where y is the number of the multiplication family; Z x is the necessary image type label list corresponding to the xth product fission family; Z x =(Z x，1 , Z x，2 , …, Z x，c , …, Z x，f(x) ); c = 1, 2, ..., f(x); f(x) is the number of necessary image type labels corresponding to the x-th product fission family; Z x，c is the cth necessary image type label corresponding to the xth product fission family; the necessary image type corresponding to any necessary image type label belongs to one of the m image types;

[0077] According to LB and Z, we get the matching list set P = (P1, P2, ..., P i ,…,P n );P iis the matching degree list corresponding to the i-th user; P i =(P i，1 , P i，2 ,…,P i，x ,…,P i，y );P i，x is the matching degree between the i-th user and the x-th product fission family;

[0078] According to P, we get the corresponding cumulative fission family list JZ = (JZ1, JZ2, ..., JZ i , …, JZ n );JZ i is the family ID of the multiplication family corresponding to the i-th user; JZ i is MAX(P i ) is the family identifier of the product fission family corresponding to the value; MAX() is the preset maximum value determination function.

[0079] In the exemplary embodiment of the present application, P i，x Meet the following conditions:

[0080]

[0081] Among them, LB i，c The i-th user belongs to Z x，c The probability of the same image type.

[0082] In an exemplary embodiment of the present application, an electronic device capable of implementing the above method is also provided.

[0083] Those skilled in the art will appreciate that various aspects of the present application may be implemented as a system, method or program product. Therefore, various aspects of the present application may be specifically implemented in the following forms, namely: a complete hardware implementation, a complete software implementation (including firmware, microcode, etc.), or a combination of hardware and software, which may be collectively referred to as "circuit", "module" or "system" herein.

[0084] The electronic device according to this embodiment of the present application is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0085] The electronic device is presented in the form of a general-purpose computing device. The components of the electronic device may include, but are not limited to: the at least one processor mentioned above, the at least one storage device mentioned above, and a bus connecting different system components (including storage devices and processors).

[0086] The storage stores program codes, which can be executed by the processor, so that the processor executes the steps described in the above “Exemplary Method” section of this specification according to various exemplary embodiments of the present application.

[0087] The memory may include readable media in the form of volatile memory, such as random access memory (RAM) and / or cache memory, and may further include read only memory (ROM).

[0088] The storage may also include a program / utility having a set (at least one) of program modules, such program modules including but not limited to: an operating system, one or more application programs, other program modules and program data, each of which or some combination may include the implementation of a network environment.

[0089] The bus may represent one or more of several types of bus structures including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, a processor, or a local bus using any of a variety of bus architectures.

[0090] The electronic device can also communicate with one or more external devices (such as keyboards, pointing devices, Bluetooth devices, etc.), and can also communicate with one or more devices that enable users to interact with the electronic device, and / or communicate with any device (such as routers, modems, etc.) that enables the electronic device to communicate with one or more other computing devices. This communication can be carried out through an input / output (I / O) interface. In addition, the electronic device can also communicate with one or more networks (such as local area networks (LANs), wide area networks (WANs) and / or public networks, such as the Internet) through a network adapter. As shown in the figure, the network adapter communicates with other modules of the electronic device through a bus. It should be understood that, although not shown in the figure, other hardware and / or software modules can be used in conjunction with the electronic device, including but not limited to: microcode, device drivers, redundant processors, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, etc.

[0091] Through the description of the above implementation methods, it is easy for those skilled in the art to understand that the example implementation methods described here can be implemented by software or by combining software with necessary hardware. Therefore, the technical solution according to the implementation methods of the present application can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (which can be a CD-ROM, a USB flash drive, a mobile hard disk, etc.) or on a network, and includes several instructions to enable a computing device (which can be a personal computer, a server, a terminal device, or a network device, etc.) to execute the method according to the implementation methods of the present application.

[0092] In an exemplary embodiment of the present application, a computer-readable storage medium is also provided, on which a program product capable of implementing the above method of the present specification is stored. In some possible implementations, various aspects of the present application can also be implemented in the form of a program product, which includes a program code. When the program product is run on a terminal device, the program code is used to enable the terminal device to execute the steps according to various exemplary implementations of the present application described in the above "Exemplary Method" section of the present specification.

[0093] The program product may use any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. The readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples of readable storage media (a non-exhaustive list) include: an electrical connection with one or more wires, a portable 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 above.

[0094] Computer readable signal media may include data signals propagated in baseband or as part of a carrier wave, in which readable program code is carried. Such propagated data signals may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. Readable signal media may also be any readable medium other than a readable storage medium, which may send, propagate, or transmit a program for use by or in conjunction with an instruction execution system, apparatus, or device.

[0095] The program code embodied on the readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wired, optical cable, RF, etc., or any suitable combination of the foregoing.

[0096] Program code for performing the operations of the present application may be written in any combination of one or more programming languages, including object-oriented programming languages ​​such as Java, C++, etc., and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user computing device, partially on the user device, as a separate software package, partially on the user computing device and partially on a remote computing device, or entirely on a remote computing device or server. In the case of a remote computing device, the remote computing device may be connected to the user computing device through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computing device (e.g., via the Internet using an Internet service provider).

[0097] In addition, the above-mentioned figures are only schematic illustrations of the processes included in the method according to the exemplary embodiments of the present application, and are not intended to be limiting. It is easy to understand that the processes shown in the above-mentioned figures do not indicate or limit the time sequence of these processes. In addition, it is also easy to understand that these processes can be performed synchronously or asynchronously, for example, in multiple modules.

[0098] It should be noted that, although several modules or units of the equipment for action execution are mentioned in the above detailed description, this division is not mandatory. In fact, according to the embodiments of the present application, the features and functions of two or more modules or units described above can be embodied in one module or unit. On the contrary, the features and functions of one module or unit described above can be further divided into being embodied by multiple modules or units.

[0099] The above are only specific implementations of the present application, but the protection scope of the present application is not limited thereto. Any changes or substitutions that can be easily thought of by a person skilled in the art within the technical scope disclosed in the present application should be included in the protection scope of the present application. Therefore, the protection scope of the present application shall be based on the protection scope of the claims.

Claims

1. A points fission system based on an Internet points mall, characterized in that: The system comprises: The first acquisition module is used to acquire the historical points data corresponding to each user among a plurality of users, so as to obtain the points fission participation degree corresponding to each user; The second acquisition module is used to acquire a user portrait corresponding to each user among a plurality of users, so as to obtain a cumulative fission family corresponding to each user; wherein each cumulative fission family includes a plurality of cumulative fission methods; and each cumulative fission method in each cumulative fission family has a corresponding cumulative fission participation degree; The method determination module is used to determine the corresponding integral fission method for each user according to the integral fission participation degree and the integral fission family corresponding to each user.

2. The points fission system based on the Internet points mall according to claim 1 is characterized in that: The first acquisition module includes: A first acquisition unit is used to acquire historical points data corresponding to each user among a plurality of users to obtain a points activity level corresponding to each user; A second acquisition unit is used to acquire historical score data corresponding to each user among a plurality of users, so as to obtain a fixed score level corresponding to each user; wherein the fixed score level is the score level corresponding to the highest historical score data; The participation determination unit is used to obtain the point fission participation corresponding to each user according to the point activity level and the fixed point level corresponding to each user.

3. The points fission system based on the Internet points mall according to claim 2 is characterized in that: The first acquiring unit includes: The integral acquisition subunit is used to acquire the integral data of each user at each target time point in the target time window, so as to obtain the integral data change curve list QL = (QL1, QL2, ..., QL i , …, QL n ), i = 1, 2, ..., n, where n is the number of users; QL i is the integral data change curve corresponding to the i-th user; the end time of the target time window is the current time; the time distance between any two adjacent target time points is equal; The activity determination subunit is used to determine the model according to QL and activity level, and obtain the integral activity level list H = (H1, H2, ..., H i , …, H n ), where H i is the points activity level corresponding to the i-th user.

4. The points fission system based on the Internet points mall according to claim 2 is characterized in that: The cumulative fission participation J corresponding to the i-th user i Meet the following conditions: J i =F i *(a Hi -1); Among them, F i is the fixed score level corresponding to the i-th user, a is the preset base number; H i >0.

5. The points fission system based on the Internet points mall according to claim 1 is characterized in that: The second acquisition module includes: A portrait acquisition unit, used to acquire a user portrait corresponding to each of a number of users; The probability determination unit is used to obtain the portrait type probability of the user portrait corresponding to each user according to the classification model to obtain the portrait type probability list set LB = (LB1, LB2, ..., LB i , …, LB n ), where LB i LB is the portrait type probability table corresponding to the i-th user; i =(LB i，1 , L.B. i，2 , …, LB i，j , …, LB i，m );j=1,2,…,m;wherein, m is the number of image types; LB i，j is the probability that the i-th user belongs to the j-th portrait type; The label determination unit is used to obtain the necessary image type labels corresponding to each of the plurality of integrated fission families; so as to obtain the necessary image list label set Z = (Z1, Z2, ..., Z x , …, Z y ); x = 1, 2, ..., y; where y is the number of the multiplication family; Z x is the necessary image type label list corresponding to the xth product fission family; Z x =(Z x，1 , Z x，2 , …, Z x，c , …, Z x，f(x) ); c = 1, 2, ..., f(x); f(x) is the number of necessary image type labels corresponding to the x-th product fission family; Z x，c is the cth necessary image type label corresponding to the xth product fission family; the necessary image type corresponding to any necessary image type label belongs to one of the m image types; A matching degree determination unit is used to obtain a matching degree list set P=(P1, P2, ..., P i ,…,P n );P i is the matching degree list corresponding to the i-th user; P i =(P i，1 , P i，2 ,…,P i，x ,…,P i，y );P i，x is the matching degree between the i-th user and the x-th product fission family; A family determination unit is used to obtain a corresponding multiplication family list JZ=(JZ1, JZ2, ..., JZ i , …, JZ n );JZ i is the family ID of the multiplication family corresponding to the i-th user; JZ i is MAX(P i ) is the family identifier of the product fission family corresponding to the value; MAX() is the preset maximum value determination function.

6. The points fission system based on the Internet points mall according to claim 5 is characterized in that: P i，x Meet the following conditions: Among them, LB i，c The i-th user belongs to Z x，c The probability of the same image type.

7. A points fission method based on an Internet points mall, characterized in that: The method comprises: Obtaining historical points data corresponding to each of a number of users to obtain the points fission participation corresponding to each user; Obtain a user portrait corresponding to each user from a number of users to obtain a cumulative fission family corresponding to each user; wherein each cumulative fission family includes a number of cumulative fission methods; each cumulative fission method in each cumulative fission family has a corresponding cumulative fission participation degree; According to the accumulation fission participation and accumulation fission family corresponding to each user, the accumulation fission method corresponding to each user is determined.

8. The points fission method based on the Internet points mall according to claim 7 is characterized in that: The step of obtaining the historical points data corresponding to each user among the plurality of users to obtain the points fission participation degree corresponding to each user includes: Obtain historical points data corresponding to each of a number of users to obtain the points activity level corresponding to each user; Obtaining historical score data corresponding to each of the plurality of users to obtain a fixed score level corresponding to each user; wherein the fixed score level is the score level corresponding to the highest historical score data; According to the point activity level and fixed point level corresponding to each user, the point fission participation corresponding to each user is obtained.

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