CN113034215A - Method and equipment for realizing consumption based on user network behavior information - Google Patents

Method and equipment for realizing consumption based on user network behavior information Download PDF

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Publication number
CN113034215A
CN113034215A CN201911349047.8A CN201911349047A CN113034215A CN 113034215 A CN113034215 A CN 113034215A CN 201911349047 A CN201911349047 A CN 201911349047A CN 113034215 A CN113034215 A CN 113034215A
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behavior
platform
value
user
quantization
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周之华
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/06Buying, selling or leasing transactions
    • G06Q30/0601Electronic shopping [e-shopping]
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/02Marketing; Price estimation or determination; Fundraising
    • G06Q30/0201Market modelling; Market analysis; Collecting market data

Abstract

The application aims to provide a method and equipment for realizing consumption based on user network behavior information. Compared with the prior art, the method and the device have the advantages that the network behavior information of the user on the platform is obtained; and converting the network behavior information into a behavior quantitative value of the user on the platform so that the user can consume on the platform through the behavior quantitative value. By the method, the network behavior information of the user is converted into the behavior quantization numerical value, so that the operation of the user on the platform can be quantized, the dependence of the user on the platform can be improved, the consumption is carried out on the platform through the behavior quantization numerical value, the user experience is improved, and the platform can attract or retain more users.

Description

Method and equipment for realizing consumption based on user network behavior information
Technical Field
The application relates to the technical field of computers, in particular to a technology for realizing consumption based on user network behavior information.
Background
In the prior art, when a user performs related network activities on a network platform, the network platform usually records only network behavior information of the user, and cannot reflect the behavior value of the user on the network platform through the network behavior information of the user.
Disclosure of Invention
The application aims to provide a method and equipment for realizing consumption based on user network behavior information.
According to one aspect of the application, a method for realizing consumption based on user network behavior information is provided, wherein the method comprises the following steps:
acquiring network behavior information of a user on a platform;
and converting the network behavior information into a behavior quantitative value of the user on the platform so that the user can consume on the platform through the behavior quantitative value.
Further, wherein the method further comprises:
determining a behavior quantification value assignable by the platform;
wherein the converting the network behavior information into the behavior quantitative value of the user on the platform comprises:
and converting the network behavior information into behavior quantitative values of the user on the platform based on the behavior quantitative values assignable to the platform, wherein the converted assignable behavior quantitative values are reduced by the corresponding converted behavior quantitative values.
Further, wherein the determining the platform assignable behavior quantification value comprises:
recovering the behavior quantization numerical value used by the user when the user consumes on the platform through the behavior quantization numerical value so as to establish a behavior quantization numerical value recovery library;
and determining the behavior quantization numerical value in the behavior quantization numerical value recycling library as the behavior quantization numerical value which can be distributed by the platform.
Further, wherein the determining the behavior quantification value assignable by the platform comprises or further comprises:
establishing a behavior quantization numerical library which can be distributed by the platform, wherein when the platform increases a total behavior quantization numerical value in the behavior quantization numerical library by one user every time;
and determining part or all behavior quantization values in the behavior quantization value information base as behavior quantization values which can be distributed by the platform.
Further, when the behavior quantization value in the behavior quantization value recycling library is non-zero, the network behavior information is preferentially converted into the behavior quantization value of the user on the platform based on the platform-assignable behavior quantization value in the behavior quantization value recycling library.
Further, the converting the network behavior information into the behavior quantitative value of the user on the platform based on the behavior quantitative value assignable by the platform comprises:
determining a behavior quantitative value adjusting parameter corresponding to a behavior quantitative value of the user on the platform, wherein the behavior quantitative value adjusting parameter is used for converting the network behavior information into the behavior quantitative value of the user on the platform;
and converting the network behavior information into the behavior quantitative value of the user on the platform based on the behavior quantitative value adjusting parameter and the platform assignable behavior quantitative value.
Further, wherein the adjustment parameter is changed based on a change in network behavior information of a population of users on the platform.
Further, wherein the method further comprises:
determining the corresponding legal currency value of the behavior quantization value of a unit on the platform;
and presenting the legal tender value of the unit behavior quantization value corresponding to the platform to a page corresponding to the platform.
Further, wherein the method further comprises:
determining a behavior quantization value corresponding to the commodity based on the corresponding legal currency value of the behavior quantization value of the unit on the platform and the legal currency selling price of the commodity;
and presenting the behavior quantitative value corresponding to the commodity to a commodity display page corresponding to the platform so that the user can purchase the corresponding commodity through the owned behavior quantitative value.
Further, the determining the corresponding legal tender value of the behavior quantified value on the platform by the unit comprises:
determining platform revenue values generated by all users in the platform based on network behavior information;
determining a platform behavioral value total based on the platform revenue value;
and determining the corresponding legal currency value of the behavior quantitative value of the unit on the platform based on the total platform behavior value and the effective behavior quantitative value in the platform.
Further, the effective behavior quantization value in the platform is a behavior quantization value corresponding to the platform user in the behavior quantization value information base.
Further, wherein the user is a member user in the platform.
Further, different network behavior information is converted into behavior quantization values of different sizes.
Further wherein the network behavior information comprises at least any one of:
logging in; reading; commenting; praise; sending a picture; writing an article; forwarding; drainage; organizing the activities; shopping; selling the product; and (5) paying for learning.
According to another aspect of the present application, there is also provided a computer readable medium having computer readable instructions stored thereon, the computer readable instructions being executable by a processor to implement the operations of the method as described above.
According to still another aspect of the present application, there is also provided an apparatus for implementing consumption based on user network behavior information, wherein the apparatus includes:
one or more processors; and
a memory storing computer readable instructions that, when executed, cause the processor to perform operations of the method as previously described.
Compared with the prior art, the method and the device have the advantages that the network behavior information of the user on the platform is obtained; and converting the network behavior information into a behavior quantitative value of the user on the platform so that the user can consume on the platform through the behavior quantitative value. By the method, the network behavior information of the user is converted into the behavior quantization numerical value, so that the operation of the user on the platform can be quantized, the dependence of the user on the platform can be improved, the consumption is carried out on the platform through the behavior quantization numerical value, the user experience is improved, and the platform can attract or retain more users.
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Other features, objects and advantages of the invention will become more apparent upon reading of the detailed description of non-limiting embodiments made with reference to the following drawings:
FIG. 1 illustrates a flow diagram of a method for enabling consumption based on user network behavior information in accordance with an aspect of the subject application.
The same or similar reference numbers in the drawings identify the same or similar elements.
Detailed Description
The present invention is described in further detail below with reference to the attached drawing figures.
In a typical configuration of the present application, the terminal, the device serving the network, and the trusted party each include one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include non-transitory computer readable media (transient media), such as modulated data signals and carrier waves.
To further illustrate the technical means and effects adopted by the present application, the following description clearly and completely describes the technical solution of the present application with reference to the accompanying drawings and preferred embodiments.
Fig. 1 shows a flowchart of a method for implementing consumption based on user network behavior information, which is performed by a device 1 and includes the following steps:
s11, the device 1 acquires the network behavior information of the user on the platform;
s12 the device 1 converts the network behavior information into a behavior quantization value of the user on the platform, so that the user can consume on the platform through the behavior quantization value.
In the present application, the device 1 includes at least any one of a user device or a network device. The user equipment includes a device capable of performing information interaction with the network device through a network, for example, the user equipment includes but is not limited to any mobile electronic product, such as a smart phone, a tablet computer, and the like, which can perform human-computer interaction with a user through a touch panel, and the mobile electronic product may employ any operating system, such as an android operating system, an iOS operating system, and the like.
Network devices include, but are not limited to, computers, network hosts, a single network server, multiple sets of network servers, or a cloud of multiple servers; here, the Cloud is composed of a large number of computers or web servers based on Cloud Computing (Cloud Computing), which is a kind of distributed Computing, one virtual supercomputer consisting of a collection of loosely coupled computers.
In this embodiment, in step S11, the device 1 obtains the network behavior information of the user on a platform, where the platform includes, but is not limited to, an application capable of social or instant messaging or information browsing or shopping, or an application integrating all the functions mentioned above. Preferably, wherein the network behavior information includes, but is not limited to, at least any one of: logging in; reading; commenting; praise; sending a picture; writing an article; forwarding; drainage; organizing the activities; shopping; selling the product; paid learning, e.g., paid knowledge, etc.
Specifically, when the device 1 is a network device, the network behavior information of the user may be acquired through a user device used by the user to generate the network behavior information, where the user device sends the network behavior information to the network device through a network connection, so that the device 1 acquires the network behavior information. Wherein, the network behavior information can be obtained and recorded in real time. A user network behavior information record table may be established for each user, and when the user has network behavior information, the record may be made in the network behavior information record table, for example, including but not limited to record what the specific network behavior information is, the occurrence time, and the like.
Continuing in this embodiment, in step S12, device 1 converts the network behavior information into a behavior quantitative value of the user on the platform, so that the user can consume on the platform through the behavior quantitative value. Wherein the behavior quantitative value of the user on the platform is recorded in the personal account of the user.
The behavior quantization value is used for digitizing the network behavior information of the user, for example, the expression form of the behavior quantization value includes but is not limited to points or virtual coins, etc. The device 1 obtains network behavior information corresponding to a user in real time and converts the network behavior information into a behavior quantization numerical value in real time, for example, if the network behavior information obtained at a certain time is "comment", the network behavior information is converted into a corresponding behavior quantization numerical value, for example, if 3 points can be obtained by once comment, the behavior quantization numerical value corresponding to the network behavior information of the time is 3 points, preferably, different pieces of network behavior information are converted into behavior quantization numerical values of the same or different sizes. For example, the behavior quantization value corresponding to the "writing article" is larger than the behavior quantization value corresponding to the "comment", and preferably, the behavior quantization values corresponding to different network behavior information are preset in advance.
The consumption includes but is not limited to shopping or paying for knowledge or enjoying, and all consumption behaviors which can be realized by the french coins. Preferably, the user includes a registered user or a member user, where the registered user includes a user who has only registered the platform, and the specific registration manner includes, but is not limited to, mobile phone number verification or two-dimensional code scanning, and the like.
The member user may be a member user who pays a certain fee to the platform, for example, a member user may pay an annual fee or a monthly fee, and the member user is not limited thereto. Alternatively, the member user may also register the platform by inviting a predetermined number of other users to become a member, which is only an example, and other existing or future possible ways of becoming a member user, such as being applicable to the present application, are also included in the scope of the present application, and are herein incorporated by reference.
Preferably, the user who can consume on the platform through the behavior quantitative value may be limited to a member user, for example, for a registered user, the behavior quantitative value obtained in the account thereof is not activated and thus cannot be used for consumption on the platform, and when the registered user becomes a member user and then the behavior quantitative value in the account thereof is activated, the member user may consume using the behavior quantitative value in the account thereof.
Preferably, the method further comprises: s13 (not shown) device 1 determines a behavior quantification value assignable by the platform; wherein the converting the network behavior information into the behavior quantitative value of the user on the platform comprises: s14 (not shown) converts the network behavior information into a behavior quantization value of the user on the platform based on the platform assignable behavior quantization value, wherein the assignable behavior quantization value is reduced by the corresponding converted behavior quantization value after the conversion.
In this embodiment, the behavior quantization value assignable by the platform refers to a behavior quantization value assignable by the entire platform, for example, a preset number of behavior quantization values may be set during platform initialization, the behavior quantization value assignable by the user on the platform is obtained by transferring the behavior quantization value assignable by the platform, for example, if the network behavior information of the user is "like" and the behavior quantization value corresponding to "like" is 2 points, if the behavior quantization value assignable by the platform is 2000 ten thousand points, the behavior quantization value obtained by the user after the conversion is 2 points, and the behavior quantization value assignable by the platform is updated to 2000 ten thousand points minus 2 points.
Preferably, wherein the determining, by the apparatus 1, the behavior quantization value assignable by the platform comprises:
s131 (not shown), the device 1 recovers the behavior quantization numerical value used by the user when the user consumes on the platform through the behavior quantization numerical value so as to establish a behavior quantization numerical value recovery library;
s132 (not shown), the device 1 determines the behavior quantization values in the behavior quantization value recycle library as the behavior quantization values assignable to the platform.
In this embodiment, the behavior quantization values assignable to the platform may be obtained by establishing a behavior quantization value recycling library, for example, if a user purchases or pays for reading through the behavior quantization values of his account in the platform, the behavior quantization values spent by the user will be recycled by the device 1 to be a quantization value recycling library, and the behavior quantization values in the behavior quantization value recycling library are the behavior quantization values assignable to the platform, that is, when the network behavior information of the user is converted into the behavior quantization values, the corresponding behavior quantization values are obtained from the behavior quantization value recycling library, and accordingly, the corresponding behavior quantization values are reduced in the behavior quantization value recycling library.
Preferably, wherein the determining, by the apparatus 1, the behavior quantization value assignable by the platform comprises:
s133 (not shown) establishing a behavior quantization value library assignable to the platform, wherein when the platform adds a preset value to each total behavior quantization value in the behavior quantization value library of one user;
s134 (not shown) determines some or all behavior quantization values in the behavior quantization value information base as behavior quantization values assignable by the platform.
In this embodiment, the conversion of the behavior quantization value of the user is realized by establishing a behavior quantization value library, where the behavior quantization value library is determined based on the number of all users of the platform, for example, when a new user is registered in the platform, a behavior quantization value of a preset value is added to the behavior quantization value library for issuing the behavior quantization value to the user when the user has network behavior. For example, when the behavior quantization value is presented in the form of a digital score, when a user registers, 2.3457 ten thousand digital scores are automatically generated by each user and put into the behavior quantization value library, when 1000 ten thousand users register, 2345.7 ten thousand digital scores exist in the behavior quantization value library, where 2345.7 ten thousand digital scores may be determined as the behavior quantization value assignable to the platform, or a part of 2345.7 ten thousand digital scores may also be determined as the behavior quantization value assignable to the platform, which is not limited in this application.
Preferably, the determining of the platform assignable behavior quantization values includes establishing a behavior quantization value recycling library and a behavior quantization value library, and determining the behavior quantization values in the behavior quantization value recycling library and the behavior quantization value library as the platform assignable behavior quantization values.
Preferably, when the behavior quantization value in the behavior quantization value recycling library is non-zero, the network behavior information is preferentially converted into the behavior quantization value of the user on the platform based on the behavior quantization value assignable by the platform in the behavior quantization value recycling library.
In this embodiment, when a user performs network behavior information conversion, a corresponding behavior quantization value is first obtained from the behavior quantization value recycling library, and when there is no stock of the behavior quantization value in the behavior quantization value recycling library, a corresponding behavior quantization value is then obtained from the behavior quantization value library.
The above-mentioned manner of determining the quantitative value of the behavior assignable by the platform is only an example, and other existing or future manners, such as those applicable to the present application, are also included in the scope of the present application, and are hereby incorporated by reference.
Preferably, the converting the network behavior information into the behavior quantitative value of the user on the platform based on the behavior quantitative value assignable by the platform comprises: s141 (not shown) determining a behavior quantization value adjustment parameter corresponding to a behavior quantization value of the user on the platform for converting the network behavior information; s142 (not shown) converts the network behavior information into a behavior quantization value of the user on the platform based on the behavior quantization value adjustment parameter and the platform assignable behavior quantization value.
In this embodiment, the adjustment parameter is used to adjust the magnitude of the behavior quantization value converted from the same network behavior information at different time instances. For example, if the source of the behavior quantization value assignable by the platform includes at least one of a behavior quantization value recycle library or a behavior quantization value library, if the values in the behavior quantization value recycle library or the behavior quantization value library are smaller and smaller in a period of time, and the network behavior information of the user is not reduced, if the network behavior information of some users cannot be converted by sufficient behavior quantization values according to the preset conversion value all the time, the adjustment may be controlled by adjusting the parameter. For example, if the network behavior information of the user at a certain time is "comment" and the corresponding behavior quantization value is 3 points, then at another time, the network behavior information is also "comment", and through adjustment of the parameter, the corresponding behavior quantization value at the time may be 1.5 points or 2 points, and so on. Thus, the adjustment parameters are varied at different times.
Preferably, the adjustment parameter is changed based on the change of the network behavior information of all users on the platform.
Preferably, wherein the method further comprises: s15 (not shown), the device 1 determines the corresponding french value of the behavior quantification value in the platform; s16 (not shown), the device 1 presents the unit of the behavior quantified value to the corresponding legal value of the platform, and the corresponding page of the platform.
In this embodiment, in step S15, the legal value is the value of the currency that is circulated, for example, if the legal is the rmb and the action quantization value is the numerical score, the legal value corresponding to the platform per the action quantization value is the rmb value corresponding to a single numerical score.
In the step S16, the legal value of the behavior quantitative value of the unit on the platform can be presented on the corresponding page of the platform, so that the user can know the legal value of the behavior quantitative value in the account in time, thereby increasing the user experience.
Preferably, wherein the step S15 includes: s151 (not shown) the device 1 determines platform revenue values generated by all users in the platform based on network behavior information; s152 (not shown) device 1 determining a platform behavioral value total based on the platform revenue value; s153 (not shown), the device 1 determines the corresponding legal tender value of the behavior quantization value unit on the platform based on the platform behavior value total amount and the effective behavior quantization value in the platform.
In this embodiment, in step S151, the device 1 determines a platform revenue value generated by all users in the platform based on the network behavior information, where the platform revenue value is a value obtained by deducting a cost from a sales amount generated by the platform when all users perform corresponding network behaviors on the platform. Sources of the sales generated by the platform include, but are not limited to, affiliate gold, commodity sales profits, user membership fee, advertising fee, offline activity charge, knowledge payment, platform usage fee, company capital assets, capital market value accreditation (corresponding legal data) to the platform, and the like.
Continuing in this embodiment, in said step S152, device 1 determines a platform behavioral value total based on said platform revenue value. The total platform behavior value is converted into a total platform behavior value according to a cost payout rate of the platform commodity (including a product or a service, etc.), for example, a platform revenue value is 1000 yuan, and an average cost payout rate of the platform commodity is 35%, and then the total platform behavior value is 1000 yuan/35% — 2857 yuan.
In this embodiment, in step S153, the device 1 determines the corresponding legal tender value of the platform per unit of the quantified value of the behavior based on the total value of the platform behavior value and the quantified value of the effective behavior in the platform.
For example, if the source of the platform-assignable behavior quantization values includes at least one of a behavior quantization value recycle library or a behavior quantization value library, the platform-inner effective behavior quantization value may include a behavior quantization value in the behavior quantization value library, or include a behavior quantization value in the quantization value recycle library, or include a behavior quantization value in the behavior quantization value recycle library and a behavior quantization value in the behavior quantization value library, or the like.
Preferably, the intra-platform effective behavior quantified value is a behavior quantified value corresponding to a platform user in the behavior quantified value information base. Preferably, when the platform users include registered users and member users, the effective behavior quantization value in the platform is a behavior quantization value corresponding to the member user in the behavior quantization value information base. And the legal currency value corresponding to the behavior quantitative value of the unit in the platform is the ratio of the total amount of the platform behavior value to the behavior quantitative value corresponding to the member user in the behavior quantitative value information base.
Preferably, wherein the method further comprises: s17 (not shown), the device 1 determines a behavior quantization value corresponding to the commodity based on the corresponding legal value of the platform and the corresponding legal selling price of the commodity in the unit of the behavior quantization value; s18 (not shown), the device 1 presents the behavior quantitative value corresponding to the commodity display page corresponding to the platform, so that the user purchases the corresponding commodity through the owned behavior quantitative value.
In this embodiment, the commodity in the platform may be displayed by the corresponding behavior quantization value when displaying the price, and the specific behavior quantization value corresponding to the commodity is a ratio of a legal coin selling price of the commodity to a legal coin value corresponding to the behavior quantization value per unit in the platform, for example, a renminbi value of a certain commodity is 5 yuan, if 1 digital integral corresponds to 2 yuan, the display price of the commodity corresponds to 2.5 integrals, and by presenting the behavior quantization value corresponding to the commodity to a commodity display page corresponding to the platform, the behavior quantization value in the account of the user can be used to purchase the corresponding commodity, and since the behavior quantization value per unit changes in real time in the legal coin value corresponding to the platform, the behavior quantization value corresponding to the commodity also changes in real time.
Compared with the prior art, the method and the device have the advantages that the network behavior information of the user on the platform is obtained; and converting the network behavior information into a behavior quantitative value of the user on the platform so that the user can consume on the platform through the behavior quantitative value. By the method, the network behavior information of the user is converted into the behavior quantization numerical value, so that the operation of the user on the platform can be quantized, the dependence of the user on the platform can be improved, the consumption is carried out on the platform through the behavior quantization numerical value, the user experience is improved, and the platform can attract or retain more users.
Furthermore, the embodiment of the present application also provides a computer readable medium, on which computer readable instructions are stored, and the computer readable instructions can be executed by a processor to implement the foregoing method.
An embodiment of the present application further provides a network device for implementing consumption based on user network behavior information, where the network device includes: one or more processors; and
a memory storing computer readable instructions that, when executed, cause the processor to perform the operations of the foregoing method.
For example, the computer readable instructions, when executed, cause the one or more processors to: acquiring network behavior information of a user on a platform; and converting the network behavior information into a behavior quantitative value of the user on the platform so that the user can consume on the platform through the behavior quantitative value.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned. Furthermore, it is obvious that the word "comprising" does not exclude other elements or steps, and the singular does not exclude the plural. A plurality of units or means recited in the apparatus claims may also be implemented by one unit or means in software or hardware. The terms first, second, etc. are used to denote names, but not any particular order.

Claims (16)

1. A method for implementing consumption based on user network behavior information, wherein the method comprises:
acquiring network behavior information of a user on a platform;
and converting the network behavior information into a behavior quantitative value of the user on the platform so that the user can consume on the platform through the behavior quantitative value.
2. The method of claim 1, wherein the method further comprises:
determining a behavior quantification value assignable by the platform;
wherein the converting the network behavior information into the behavior quantitative value of the user on the platform comprises:
and converting the network behavior information into behavior quantitative values of the user on the platform based on the behavior quantitative values assignable to the platform, wherein the converted assignable behavior quantitative values are reduced by the corresponding converted behavior quantitative values.
3. The method of claim 2, wherein the determining a behavior quantification value assignable by the platform comprises:
recovering the behavior quantization numerical value used by the user when the user consumes on the platform through the behavior quantization numerical value so as to establish a behavior quantization numerical value recovery library;
and determining the behavior quantization numerical value in the behavior quantization numerical value recycling library as the behavior quantization numerical value which can be distributed by the platform.
4. The method of claim 2 or 3, wherein the determining a behavior quantification value assignable by the platform comprises or further comprises:
establishing a behavior quantization numerical library which can be distributed by the platform, wherein when the platform increases a total behavior quantization numerical value in the behavior quantization numerical library by one user every time;
and determining part or all behavior quantization values in the behavior quantization value information base as behavior quantization values which can be distributed by the platform.
5. The method of claim 4, wherein when the behavior quantification value in the behavior quantification value recycling library is non-zero, the network behavior information is preferentially converted into the behavior quantification value of the user on the platform based on the behavior quantification value assignable by the platform in the behavior quantification value recycling library.
6. The method of any one of claims 2 to 5, wherein the converting the network behavior information into the behavior quantitative value of the user at the platform based on the platform assignable behavior quantitative value comprises:
determining a behavior quantitative value adjusting parameter corresponding to a behavior quantitative value of the user on the platform, wherein the behavior quantitative value adjusting parameter is used for converting the network behavior information into the behavior quantitative value of the user on the platform;
and converting the network behavior information into the behavior quantitative value of the user on the platform based on the behavior quantitative value adjusting parameter and the platform assignable behavior quantitative value.
7. The method of claim 6, wherein the tuning parameters change based on changes in network behavior information for a population of users on the platform.
8. The method of any of claims 2 to 7, wherein the method further comprises:
determining the corresponding legal currency value of the behavior quantization value of a unit on the platform;
and presenting the legal tender value of the unit behavior quantization value corresponding to the platform to a page corresponding to the platform.
9. The method of claim 8, wherein the method further comprises:
determining a behavior quantization value corresponding to the commodity based on the corresponding legal currency value of the behavior quantization value of the unit on the platform and the legal currency selling price of the commodity;
and presenting the behavior quantitative value corresponding to the commodity to a commodity display page corresponding to the platform so that the user can purchase the corresponding commodity through the owned behavior quantitative value.
10. The method of claim 8 or 9, wherein said determining the corresponding french value of said behavior quantifiable value at said platform in units of said behavior comprises:
determining platform revenue values generated by all users in the platform based on network behavior information;
determining a platform behavioral value total based on the platform revenue value;
and determining the corresponding legal currency value of the behavior quantitative value of the unit on the platform based on the total platform behavior value and the effective behavior quantitative value in the platform.
11. The method of claim 10, wherein the intra-platform valid behavior quantification value is a behavior quantification value corresponding to a platform user in the behavior quantification value information base.
12. The method of any one of claims 1 to 11, wherein the user is a member user in a platform.
13. The method of any one of claims 1 to 12, wherein different network behavior information is converted into behavior quantification values of different sizes.
14. The method of any of claims 1 to 12, wherein the network behavior information comprises at least any of:
logging in; reading; commenting; praise; sending a picture; writing an article; forwarding; drainage; organizing the activities; shopping; selling the product; and (5) paying for learning.
15. A computer readable medium having computer readable instructions stored thereon which are executable by a processor to implement the method of any one of claims 1 to 14.
16. An apparatus for enabling consumption based on user network behavior information, wherein the apparatus comprises:
one or more processors; and
a memory storing computer readable instructions that, when executed, cause the processor to perform the operations of the method of any of claims 1 to 14.
CN201911349047.8A 2019-12-24 2019-12-24 Method and equipment for realizing consumption based on user network behavior information Pending CN113034215A (en)

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