CN115619234A - Voting processing method, device and storage medium - Google Patents
Voting processing method, device and storage medium Download PDFInfo
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Abstract
The invention discloses a voting processing method, a device and a storage medium, wherein a voting mode selected by a user aiming at a first voting scheme is obtained, if the voting mode is a second voting type, the user weight of each voted user adopting the voting mode is inquired in a database, the voting weight of each voting option in the first voting scheme is respectively calculated according to each user weight, and at least one group of adjacent voting options is randomly selected after being sorted according to the voting weights to generate a second voting option set containing at least one group of continuous voting options; and obtaining the voting result of the current user aiming at the first voting option set or the second voting option set, generating voting ranking, and recording into a database. Therefore, the decision quality is close to the optimal group benefit, the operability is considered, the user voting decision cost can be greatly reduced particularly in the actual large-scale group decision, and the maximum group benefit of decision realization is ensured.
Description
Technical Field
The present invention relates to the field of informatization technology, and in particular, to a voting processing method, apparatus, and storage medium.
Background
With the rapid development of network technology, more and more transactions are performed by means of networks, such as network voting. Voting has been widely used as a method for assessing the intentions of the masses. The network voting realized by means of the internet technology also provides a brand-new operation cooperation mode for voting which is a common social behavior. But the starting point of the existing voting scheme represents the benefit of majority people, and the fairness is not considered. For example, the voting result is unfair due to the phenomenon of drawing a vote, and for example, when the difference of the number of votes of the interest-related parties is large, the result is biased to the party with a slightly larger number of votes, and the overall optimal result cannot be really selected.
Disclosure of Invention
Aiming at the defects in the prior art, the invention provides a voting processing method, which comprises the following steps:
s1, showing first voting scheme information to a user through a window, and acquiring a voting mode selected by the user aiming at the first voting scheme, wherein the voting mode at least comprises a first voting type and/or a second voting type;
s2, if the voting type is the first voting type, screening K voting options with the highest vote number from all the N voting options of the first voting scheme according to the voted number, and generating a first voting option set containing K +1 voting options together with another voting option selected from the rest N-K voting options in a preset mode;
s3, if the voting type is the second voting type, inquiring the user weight of each voted user adopting the voting mode, respectively calculating the voting weight of each voting option in the first voting scheme according to each user weight, randomly selecting at least one group of adjacent voting options after sorting according to the voting weights, and generating a second voting option set comprising at least one group of continuous voting options;
and S4, obtaining the voting result of the current user aiming at the first voting option set or the second voting option set, generating voting sequencing and recording the voting sequencing into a database.
Preferably, the step S4 further includes:
obtaining the result of the user selecting a second voting type to respectively carry out voting sequencing on a plurality of groups of continuous voting options in a second voting option set; and comparing the voting sorting results of each group of users with the counted sorting of the voting options of the first voting scheme in the database, and adjusting the user weight corresponding to the user identity information stored in the database according to the same sorting quantity.
Preferably, the step S4 further includes: obtaining the result of voting sorting of a first voting option set by a user selecting a first voting type; and comparing the user voting sorting result with the sorting of the voting options of the first voting scheme which are counted in the database, and adjusting the user weight corresponding to the user identity information stored in the database according to the same sorting quantity.
Preferably, the step S3 specifically includes:
if the voting type is the second voting type, inquiring the user weight of each voted user adopting the voting mode in the database, and respectively calculating the voting weight of each voting option in the first voting scheme according to each user weight;
and sorting the voting options from high to low or from low to high by the voting weight, and acquiring two adjacent voting options as a second voting option set at random non-repeating times in the sorting queue, wherein the second voting option set is configured to have one selection object in each group of voting options.
Preferably, the voting weight
Wherein w i The user weight of the ith voting user, cn is the number of times the nth voting option is selected by the user, and the maximum value of N is N, wherein N is the number of times the ith voting user selects the nth voting option from each group of continuous voting options in the second voting option set i Is 1, otherwise n i Is 0.
Preferably, the voting processing method further includes: and after receiving an adjustment instruction aiming at the first voting scheme, acquiring newly added voting options of the user, and supplementing the newly added voting options into the first voting scheme to form a second voting scheme.
The invention also discloses a voting processing system, which comprises: the operation acquisition module is used for showing first voting scheme information to a user through a window and acquiring a voting mode selected by the user aiming at the first voting scheme, wherein the voting mode at least comprises a first voting type and/or a second voting type; the first voting response module is used for screening K voting options with the highest vote number from all N voting options of the first voting scheme according to the voted quantity when the voting mode is the first voting type, and generating a first voting option set containing K +1 voting options together with another voting option selected from the rest N-K voting options in a preset mode; the second voting response module is used for inquiring the user weight of each voted user adopting the voting mode from the database when the voting mode is the second voting type, respectively calculating the voting weight of each voting option in the first voting scheme according to each user weight, randomly selecting at least one group of adjacent voting options after sorting according to the voting weights, and generating a second voting option set containing at least one group of continuous voting options; and the result summarizing module is used for generating voting sequencing after obtaining the voting results of the current user aiming at the first voting option set or the second voting option set, and recording the voting sequencing into the database.
Preferably, the result summarizing module further includes: the analysis module is used for acquiring the result of voting and sequencing a plurality of groups of continuous voting options in the second voting option set by the user through selecting the second voting type; and the adjusting module is used for comparing the voting sorting results of each group of users with the counted sorting of the voting options of the first voting scheme in the database and adjusting the user weight corresponding to the user identity information stored in the database according to the same sorting quantity.
The invention also discloses a voting processing device, which comprises a memory, a processor and a computer program which is stored in the memory and can run on the processor, wherein the processor realizes the steps of the method when executing the computer program.
The invention also discloses a computer-readable storage medium, in which a computer program is stored, which computer program, when being executed by a processor, realizes the steps of the method as described above.
The voting processing method, the voting processing device and the storage medium disclosed by the embodiment realize that the decision quality approaches to the optimal group benefit, and simultaneously consider operability, so that the voting decision cost of the user can be greatly reduced particularly in the actual large-scale group decision, and the decision is guaranteed to realize the maximum group benefit. Meanwhile, the voting processing method supports dynamic change and increase of options, and can dynamically adjust the user weight of each user according to the similarity between the historical voting result of each user and the final result of the voting scheme, so that the voting result can truly reflect the integral optimal result. In group cooperation, the user can select the optimal version most quickly and stably, thereby effectively avoiding the Bode effect in voting, preventing strategic voting behaviors and the like.
Additional aspects and advantages of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the invention without limiting the invention, and in which:
fig. 1 is a flowchart illustrating a voting processing method according to an embodiment of the disclosure.
Fig. 2 is a schematic flowchart of step S3 according to an embodiment.
Fig. 3 is a schematic flowchart illustrating a specific step of adjusting user weights in the voting processing method according to an embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the drawings of the embodiments of the present invention. It is to be understood that the embodiments described are only a few embodiments of the present invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the described embodiments of the invention without any inventive step, are within the scope of protection of the invention.
In the present invention, unless otherwise specifically defined and limited, technical or scientific terms used herein shall have the ordinary meaning as understood by those of ordinary skill in the art to which the present invention belongs. The use of "first," "second," and similar terms in the description and claims of the present application do not denote any order, quantity, or importance, but rather the terms are used to distinguish one element from another. Also, the use of the terms "a" or "an" and the like do not denote a limitation of quantity, but rather denote the presence of at least one.
At present, in the decision making process of various scenes such as competition, election, market research and the like, the decision is often made by means of a voting method. Currently existing voting decision methods include consensus rules, simple majority rules, weighted majority rules, multi-stage voting rules, multi-attribute soft-set methods, and the like. The rules are mainly used for optimizing the group decision by a certain method aiming at the problems in the group decision. But the existing voting scheme starting point represents the benefit of majority people and does not consider fairness. For example, the voting result is unfair due to the phenomenon of drawing a vote, and for example, when the difference of the number of votes of the interest-related parties is large, the result is biased to the party with a slightly larger number of votes, and the overall optimal result cannot be really selected. The embodiment provides a voting processing method, in particular to group decision optimization based on local ranking voting, as shown in fig. 1, which may specifically include the following.
Step S1, showing first voting scheme information to a user through a window, and obtaining a voting mode selected by the user aiming at the first voting scheme, wherein the voting mode at least comprises a first voting type and/or a second voting type.
Specifically, the system gives each user a unique account, and the user votes for the voting scheme recorded on the system through the account. For a voting scheme existing on the system, the system provides a plurality of operation options for a user, the user can randomly select to perform operation, and different operations trigger different system processing logics. In this embodiment, the operation options, that is, the voting mode, may include a first voting type and a second voting type, or may only include the first voting type or the second voting type, and relevant options are correspondingly provided on the system, for example, the first voting type is a "voting" option, and the second voting type is a "fair voting" option.
And step S2, if the voting type is the first voting type, screening K voting options with the highest vote number from all the N voting options of the first voting scheme according to the voted number, and generating a first voting option set containing K +1 voting options together with another voting option selected from the rest N-K voting options in a preset mode.
After receiving a first voting type selected by a user, namely the user clicks a 'voting' option at a terminal, the system selects the highest K options from all the N voting options of the current vote according to the size of the number of votes. Then, another candidate option is selected from the remaining N-K options according to a preset specific probability algorithm. The system presents the K +1 options to the user, who selects K votes for the K +1 options only. The system limits the maximum number of votes of a user account for a voting scheme, and when the number of votes of an account for the same account is larger than the limited number, the account cannot continuously vote. In this embodiment, the preset specific probability algorithm may be a UCB algorithm based on a voting ratio, and the algorithm logic is to input the number of times shown to the user and the number of times of voting by the user, and output a probability value.
And step S3, if the voting type is the second voting type, inquiring the user weight of each voted user adopting the voting mode, respectively calculating the voting weight of each voting option in the first voting scheme according to each user weight, randomly selecting at least one group of adjacent voting options after sorting according to the voting weights, and generating a second voting option set comprising at least one group of continuous voting options. In this embodiment, as shown in fig. 2, the step S3 may specifically include the following steps.
Step S31, if the voting type is the second voting type, querying the database for the user weight of each voted user adopting the voting mode, and calculating the voting weight of each voting option in the first voting scheme according to each user weight.
Wherein the voting weight is w n ，
w i The user weight of the ith voting user, cn is the number of times the nth voting choice is selected by the user, and the maximum value of N is N, wherein N is the number of times the ith voting user selects the nth voting choice from the sets of successive voting choices in the second voting choice set i Is 1, otherwise n i Is 0.
And step S32, sequencing the voting options from high to low or from low to high in voting weight, and acquiring two adjacent voting options for multiple times in a sequencing queue without repeating randomly as a second voting option set, wherein the second voting option set is configured in such a way that each group of voting options has a selection object.
Specifically, after receiving a second voting type selected by the user, that is, after the user clicks a 'fair voting' option at the terminal, the system votes for all N voting options at present according to the weight w of each user i i Then calculating the voting weight w of each voting choice n n ，
Wherein, in the voting of the two-choice mode, the user selects a voting option n, and then n is i =1, otherwise n i And =0,cn is the number of times the voting choice n is selected by the user in the one-out-of-two manner. The system then bases its voting weight w on each voting choice n The N voting choices are ranked from high to low. After sorting, the system re-sorts the 2 consecutive voting choices randomly and non-repeatedly in the list and presents them to the user. The user only votes on these 2 voting choices in a two-choice manner. In addition, the system may define a maximum number of votes for a voting scheme by a user account, and when the number of votes for the same voting scheme by a user account is greater than the defined number, the account cannot continue to vote.
And S4, obtaining the voting result of the current user aiming at the first voting option set or the second voting option set, generating voting sequencing and recording into a database.
In this embodiment, the system may further adjust and update the user weight of the individual according to the individual historical voting condition, specifically, the user weight wi of the user in the database may be adjusted and updated according to a proportion that the individual voting ranking is consistent with the global ranking, as shown in fig. 3, which may specifically include the following contents.
Step S101, obtaining the result of voting and sorting the multiple groups of continuous voting options in the second voting option set by the user selecting the second voting type.
And step S102, comparing the voting sorting results of each group of users with the sorting of the voting options of the first voting scheme counted in the database, and adjusting the user weight corresponding to the user identity information stored in the database according to the same sorting quantity.
Specifically, for example, the user has performed 4 times of one-out-of-two sorting under the second voting type, and if there are 3 times of sorting consistent with the two voting options in the overall sorting of the system, the user weight wi can be adjusted from the original value, for example, 1, to 3/4, that is, 0.75. The user weight adjustment may be performed after the user votes or sorts each set of successive voting options in the second voting type, or may be performed after the user has finished voting for the voting scheme in the second voting type. So that in group decision, a single user only participates in partial voting, and the required information is greatly simplified, for example, in the simplest case, a single user only needs voting and sorting of 2 to 1.
In another embodiment, the system may also adjust and update the user weight w of the user in the database according to the voting result after the user selects the first voting type i Specifically, the following is included.
Step S201, a result of the user selecting the first voting type to vote and sort the first voting option set is obtained.
Step S202, comparing the user voting sorting result with the counted sorting of the voting options of the first voting scheme in the database, and adjusting the user weight corresponding to the user identity information stored in the database according to the same sorting quantity.
In another embodiment, the user weight w may be performed after the user has exited the voting campaign of the second voting type, although the user has not yet used up all votes for the voting scheme i Recalculation and adjustment of. If the subsequent user again selects the second voting type to continue voting for the voting scheme, the updated user weight w may be used i The voting weight calculation of each voting choice and the ranking of each voting choice are performed as in step S3 above.
In this embodiment, the voting processing method may further include: and after receiving an adjustment instruction aiming at the first voting scheme, acquiring newly added voting options of the user, and supplementing the newly added voting options into the first voting scheme to form a second voting scheme.
Specifically, the adjustment instruction may be presented as an "improvement" option in the user voting page, and may be displayed simultaneously with the other two page options "voting" and "fair voting". After the user selects the "improvement" operation, the system supplements k newly added options in the voting scheme, adds the k newly added options into the existing N options of the current voting scheme, and generates N + k options in total after the voting scheme is supplemented and updated, that is, the system is updated with N = N + k.
In one embodiment, after receiving an adjustment instruction for the first voting scheme, the system generates a voting choice supplement page including a first supplement mode and a second supplement mode. If the user selects the first supplement mode, the system gives the received supplement voting options to the identification information and then supplements the supplementary voting options as new voting options into the voting scheme, if the user selects the second supplement mode, the system acquires the corresponding voting option content selected by the user and then displays the content in the improvement frame, acquires the updated voting option content in the improvement frame, gives the identification information and then supplements the content as new voting options into the voting scheme.
In another specific embodiment, the voting processing method further includes a step of calculating participation contribution values of users participating in the whole voting process, and the users are fed back according to the participation contribution degrees by calculating the participation contribution values of the users participating in the voting option improvement, the voting item forwarding and the voting, so as to improve their enthusiasm for continuing participating in subsequent projects, which may specifically include the following.
Extracting characteristic elements of voting participation users in each project cooperative node, converting the characteristic elements of each cooperative node into data groups according to a preset data structure, and inputting the data groups into a project database, wherein the characteristic elements comprise an operation user id, a cooperative event type and an initial user id; after project cooperation is finished, acquiring a data group of each cooperative node of the project from a database, acquiring an initial user id, an operation user id and a cooperative event type of the cooperative node according to each data group, calling a preset contribution value calculation formula of the type in the project database according to the cooperative event type, and calculating and acquiring user contribution values of an upstream user and an operation user of the node. Wherein the collaborative event types include voting option improvement events, voting item forwarding events, and voting events.
And when the type of the collaborative event is a voting forwarding event, taking the operation user id of the event as the initial user id in the data group of the collaborative node, generating the data group corresponding to the collaborative node after the operation user id and the type of the collaborative event in the data group are vacant, and then inputting the data group into a project database.
When the type of the collaborative event is a voting improvement event, acquiring an operation user id of the collaborative event from a data group of a version object to be improved as an initial user id of the collaborative node, acquiring the user id of the collaborative event, generating the data group of the collaborative node, and then inputting the data group into a project database.
When the type of the collaborative event is a voting event, judging the type of a voting project object, if the voting version object is a candidate improved version, taking an operation user id in a version data group as an initial user id of the collaborative node, acquiring the user id of the collaborative event, generating a data group of the collaborative node, and then inputting the data group into a project database; and if the voting project object is a forwarding version, taking the initial user id in the version data group as the initial user id of the cooperative node, acquiring the user id of the cooperative event, generating a data group of the cooperative node, and then inputting the data group into a project database.
And then classifying data groups of all the collaboration nodes of the project according to the collaboration event types, and respectively acquiring operation user ids in the collaboration event types. And calling a preset contribution value calculation formula of the type in the project database according to the type of the collaborative event, and respectively calculating the user contribution values of corresponding operation users participating in each collaborative event type.
In this embodiment, the method for calculating the user contribution value of each voting item collaboration event is as follows:
the user contribution value of each operation user participating in the voting event is A, wherein
Bi represents the current number of votes of the operating user i.
The user contribution value of each operation user participating in the voting improvement event is C, wherein C i ＝s*∑C x +h*∑A y Wherein x is all users who improve the option version of the user i as the initial user, y is all users who vote for the option version of the user i as the initial user, s is the division ratio of the downstream improvement operation user to the upstream version user, h is the division ratio of the voting user to the creation of the voted version or the improvement user, and s is more than or equal to 0<1，0≤h<1。
The user contribution value of each operation user participating in the voting forwarding event is D, D i ＝f*∑(A z +C z +D z ) Wherein z is all users forwarding the option version of user i as the initial user, f is the forwarding attribution divided into proportions, and f is more than or equal to 0<1。
And finally, summarizing the user contribution values of the initial user and the operation user in each node of the project, respectively obtaining the total contribution value of each participating user in the whole project, and inputting the total contribution value into a corresponding user account of the project database.
The voting processing method disclosed by the embodiment achieves the effect that the decision quality approaches to the optimal group benefit, and meanwhile, the operability is considered, so that the voting decision cost of the user can be greatly reduced particularly in the actual large-scale group decision, and the decision is guaranteed to achieve the maximum group benefit. Meanwhile, the voting processing method supports dynamic change and increase of options, and can dynamically adjust the user weight of each user according to the similarity between the historical voting results of the users and the final result of the voting scheme, so that the voting results can truly reflect the integral optimal result. In group cooperation, the user can select the optimal version most quickly and stably, thereby effectively avoiding the Bode effect in voting, preventing strategic voting behaviors and the like.
In another embodiment, a voting processing system is also disclosed, comprising: the operation acquisition module is used for showing first voting scheme information to a user through a window and acquiring a voting mode selected by the user aiming at the first voting scheme, wherein the voting mode at least comprises a first voting type and/or a second voting type; the first voting response module is used for screening K voting options with the highest vote number from all the N voting options of the first voting scheme according to the voted number when the voting mode is the first voting type, and generating a first voting option set containing K +1 voting options together with another voting option selected from the rest N-K voting options according to a preset mode; the second voting response module is used for inquiring the user weight of each voted user adopting the voting mode from the database when the voting mode is the second voting type, respectively calculating the voting weight of each voting option in the first voting scheme according to each user weight, randomly selecting at least one group of adjacent voting options after sorting according to the voting weights, and generating a second voting option set containing at least one group of continuous voting options; and the result summarizing module is used for generating voting sequencing after obtaining the voting results of the current user aiming at the first voting option set or the second voting option set, and recording the voting sequencing into the database.
In this embodiment, the result summarizing module further includes: the first analysis module is used for acquiring the result of voting and sequencing a plurality of groups of continuous voting options in the second voting option set by the user through selecting the second voting type; and the first adjusting module is used for comparing the voting sorting results of each group of users with the counted sorting of the voting options of the first voting scheme in the database and adjusting the user weight corresponding to the user identity information stored in the database according to the same sorting quantity.
In this embodiment, the result summarizing module may further include: the second analysis module is used for acquiring a result of voting sequencing on the first voting option set after the user selects the first voting type; and the second adjusting module is used for comparing the user voting sorting result with the sorted votes of the first voting scheme counted in the database, and adjusting the user weight corresponding to the user identity information stored in the database according to the same sorting quantity.
In this embodiment, the second voting response module includes: the weight calculation module is used for inquiring the user weight of each voted user adopting the voting mode in the database when the voting mode is the second voting type, and calculating the voting weight of each voting option in the first voting scheme according to each user weight; and the weight sorting module is used for sorting the voting options from high to low or from low to high in the voting weight, and randomly and repeatedly acquiring two adjacent voting options in the sorting queue as a second voting option set, wherein the second voting option set is configured in such a way that each group of voting options has a selection object.
The specific functions of the voting processing system correspond to the quality control strategy adaptive adjustment methods disclosed in the foregoing embodiments one to one, so that detailed descriptions are not repeated here, and reference may be made to the quality control strategy adaptive adjustment methods disclosed in the foregoing embodiments. It should be noted that, in the present specification, the embodiments are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments may be referred to each other.
In still other embodiments, there is provided a voting processing device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor implements the steps of the quality control policy adaptive adjustment method described in the embodiments.
Wherein the voting processing device can include, but is not limited to, a processor and a memory. The server may include, but is not limited to, a processor, a memory. It will be appreciated by those skilled in the art that the schematic diagram is merely an example of a server and is not intended to limit the server device, and that it may include more or less components than those shown, or some components may be combined, or different components, for example, the server device may also include input output devices, network access devices, buses, etc.
The Processor may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. The general purpose processor may be a microprocessor or the processor may be any conventional processor or the like, which is the control center of the server device and connects the various parts of the overall server device using various interfaces and lines.
The memory may be used to store the computer programs and/or modules, and the processor may implement the various functions of the server device by running or executing the computer programs and/or modules stored in the memory, as well as by invoking data stored in the memory. The memory may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application program required for at least one function, and the like, and the memory may include a high speed random access memory, and may further include a non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), at least one magnetic disk storage device, a Flash memory device, or other volatile solid state storage device.
The quality control strategy adaptive adjustment method can be stored in a computer readable storage medium if the method is realized in the form of a software functional unit and sold or used as an independent product. Based on such understanding, all or part of the flow of the method according to the embodiments of the present invention may also be implemented by a computer program, which may be stored in a computer-readable storage medium, and when the computer program is executed by a processor, the steps of the method embodiments described above may be implemented. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, read-Only Memory (ROM), random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution medium, and the like. It should be noted that the computer readable medium may contain content that is subject to appropriate increase or decrease as required by legislation and patent practice in jurisdictions, for example, in some jurisdictions, computer readable media does not include electrical carrier signals and telecommunications signals as is required by legislation and patent practice.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, and not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.
In summary, the above description is only a preferred embodiment of the present invention, and all the equivalent changes and modifications made according to the claims of the present invention should be covered by the present invention.
Claims (10)
1. A voting processing method, comprising the steps of:
s1, showing first voting scheme information to a user through a window, and acquiring a voting mode selected by the user aiming at the first voting scheme, wherein the voting mode at least comprises a first voting type and/or a second voting type;
s2, if the voting type is the first voting type, screening K voting options with the highest vote number from all the N voting options of the first voting scheme according to the voted number, and generating a first voting option set containing K +1 voting options together with another voting option selected from the rest N-K voting options in a preset mode;
s3, if the voting type is the second voting type, inquiring the user weight of each voted user adopting the voting mode, respectively calculating the voting weight of each voting option in the first voting scheme according to each user weight, randomly selecting at least one group of adjacent voting options after sorting according to the voting weights, and generating a second voting option set comprising at least one group of continuous voting options;
and S4, obtaining the voting result of the current user aiming at the first voting option set or the second voting option set, generating voting sequencing and recording the voting sequencing into a database.
2. A voting processing method according to claim 1, wherein the step S4 further comprises:
obtaining the result of voting and sorting a plurality of groups of continuous voting options in a second voting option set by the user through selecting a second voting type;
and comparing the voting sorting results of each group of users with the sorting of the voting options of the first voting scheme which are counted in the database, and adjusting the user weight corresponding to the user identity information stored in the database according to the same sorting quantity.
3. A voting processing method according to claim 1, wherein the step S4 further comprises:
obtaining the result of voting sequencing on the first voting option set by the user selecting the first voting type;
and comparing the user voting sorting result with the sorted votes of the first voting scheme counted in the database, and adjusting the user weight corresponding to the user identity information stored in the database according to the same sorting quantity.
4. A voting processing method according to any one of claims 2 or 3, wherein the step S3 specifically includes:
if the voting type is the second voting type, inquiring the user weight of each voted user adopting the voting mode in the database, and respectively calculating the voting weight of each voting option in the first voting scheme according to each user weight;
and sorting the voting options from high to low or from low to high by the voting weight, and acquiring two adjacent voting options as a second voting option set at random non-repeating times in the sorting queue, wherein the second voting option set is configured to have one selection object in each group of voting options.
5. A voting processing method according to claim 4, wherein:
the voting weight
Wherein w i The user weight of the ith voting user, cn is the number of times the nth voting choice is selected by the user, and the maximum value of N is N, wherein N is the number of times the ith voting user selects the nth voting choice from the sets of successive voting choices in the second voting choice set i Is 1, otherwise n i Is 0.
6. A voting processing method according to claim 5, further comprising:
and after receiving an adjustment instruction aiming at the first voting scheme, acquiring newly added voting options of the user, and supplementing the newly added voting options into the first voting scheme to form a second voting scheme.
7. A voting processing system, comprising:
the operation acquisition module is used for showing first voting scheme information to a user through a window and acquiring a voting mode selected by the user aiming at the first voting scheme, wherein the voting mode at least comprises a first voting type and/or a second voting type;
the first voting response module is used for screening K voting options with the highest vote number from all the N voting options of the first voting scheme according to the voted number when the voting mode is the first voting type, and generating a first voting option set containing K +1 voting options together with another voting option selected from the rest N-K voting options according to a preset mode;
the second voting response module is used for inquiring the user weight of each voted user adopting the voting mode from the database when the voting mode is the second voting type, respectively calculating the voting weight of each voting option in the first voting scheme according to each user weight, randomly selecting at least one group of adjacent voting options after sorting according to the voting weights, and generating a second voting option set containing at least one group of continuous voting options;
and the result summarizing module is used for generating voting sequencing after obtaining the voting results of the current user aiming at the first voting option set or the second voting option set, and inputting the voting sequencing into a database.
8. A voting processing system in accordance with claim 7, wherein the result aggregation module further comprises:
the analysis module is used for acquiring the result of voting and sequencing a plurality of groups of continuous voting options in the second voting option set by the user through selecting the second voting type;
and the adjusting module is used for comparing the voting sorting results of each group of users with the counted sorting of the voting options of the first voting scheme in the database and adjusting the user weight corresponding to the user identity information stored in the database according to the same sorting quantity.
9. A voting processing device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: the processor, when executing the computer program, realizes the steps of the method according to any of claims 1-5.
10. A computer-readable storage medium storing a computer program, characterized in that: the computer program realizing the steps of the method according to any of claims 1-5 when executed by a processor.
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| CN117058804A (en) * | 2023-10-12 | 2023-11-14 | 之江实验室 | Voting method and device, storage medium and electronic equipment |
| CN117058804B (en) * | 2023-10-12 | 2024-01-09 | 之江实验室 | Voting method and device, storage medium and electronic equipment |
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