CN113704634A - Marriage and love pairing method, device, system and medium based on multidimensional character data - Google Patents
Marriage and love pairing method, device, system and medium based on multidimensional character data Download PDFInfo
- Publication number
- CN113704634A CN113704634A CN202110870058.1A CN202110870058A CN113704634A CN 113704634 A CN113704634 A CN 113704634A CN 202110870058 A CN202110870058 A CN 202110870058A CN 113704634 A CN113704634 A CN 113704634A
- Authority
- CN
- China
- Prior art keywords
- data
- user
- sub
- character data
- multidimensional
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 76
- 230000000295 complement effect Effects 0.000 claims abstract description 227
- 238000012545 processing Methods 0.000 claims description 4
- 238000010586 diagram Methods 0.000 description 12
- 238000004590 computer program Methods 0.000 description 6
- 230000007774 longterm Effects 0.000 description 6
- 238000004891 communication Methods 0.000 description 5
- 238000011156 evaluation Methods 0.000 description 3
- 230000001960 triggered effect Effects 0.000 description 3
- 238000007405 data analysis Methods 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 1
- 238000012163 sequencing technique Methods 0.000 description 1
- 239000013589 supplement Substances 0.000 description 1
- 238000012795 verification Methods 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9536—Search customisation based on social or collaborative filtering
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION 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
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/01—Social networking
Abstract
The application discloses a marriage and love pairing method, a device, a system and a medium based on multidimensional character data, wherein the method comprises the following steps: acquiring first multi-dimensional character data of a first user and second multi-dimensional character data of a second user, wherein the first multi-dimensional character data and the second multi-dimensional character data comprise a plurality of subdata; comparing first subdata in the first multidimensional character data with second subdata in the second multidimensional character data in a one-to-one correspondence manner to obtain the corresponding complementary degree of each subdata; and pairing the first user and the second user based on the corresponding complementary degree of each subdata and the corresponding weight coefficient. This application is through comparing the multidimension character data between the user each other, has carried out comprehensive contrast to the character data between the user from multidimension degree, diversified and multi-angle to make the character data between the first user who pairs and the second user highly complementary, promoted the paired accuracy of marriage and love.
Description
Technical Field
The application relates to the field of marriage and love pairing, in particular to a method, a device, a system and a medium for marriage and love pairing based on multidimensional character data.
Background
Most of the current marriage and love pairing methods are manual pairing methods or positioning pairing methods. The manual matching method is to manually evaluate the characters of each user and match users with complementary character data according to the evaluation result, but in the process of manually evaluating the characters of the users, the subjectivity often affects the evaluation result. The positioning and pairing method is that after the user opens the application program, the user obtains the position information of the user, and then the user is paired with the opposite friends in the preset range of the position information, but the characters of most opposite friends paired by the positioning and pairing method are greatly different. Therefore, the pairing accuracy of the conventional marriage and love pairing method is low.
Disclosure of Invention
The application mainly aims to provide a marriage and love pairing method, device, system and medium based on multidimensional character data, and aims to improve the accuracy of marriage and love pairing.
In order to achieve the above object, the present application provides a marriage and love pairing method based on multidimensional character data, including the following steps:
acquiring first multidimensional character data of a first user and second multidimensional character data of a second user, wherein the first multidimensional character data and the second multidimensional character data comprise a plurality of subdata;
comparing first subdata in the first multidimensional character data with second subdata in the second multidimensional character data in a one-to-one correspondence manner to obtain the corresponding complementary degree of each subdata;
and pairing the first user and the second user based on the corresponding complementary degree of each subdata and the corresponding weight coefficient of the subdata.
Optionally, the sub-data includes direct sub-data, and the step of comparing first sub-data in the first multidimensional lattice data with second sub-data in the second multidimensional lattice data in a one-to-one correspondence manner to obtain the complementary degree corresponding to each sub-data includes:
and correspondingly comparing the first direct subdata in the first multidimensional character data with the second direct subdata in the second multidimensional character data one by one to determine the corresponding complementary degree of the direct subdata.
Optionally, the sub-data further includes leading desired sub-data, and the step of comparing first sub-data in the first multidimensional character data with second sub-data in the second multidimensional character data in a one-to-one correspondence manner to obtain the complementary degree corresponding to each sub-data further includes:
and correspondingly comparing the first dominant data in the first multi-dimensional character data with the second dominant data in the second multi-dimensional character data one by one to determine the corresponding complementary degree of the dominant data.
Optionally, the sub-data further includes main sub-data, and the step of comparing first sub-data in the first multidimensional lattice data with second sub-data in the second multidimensional lattice data in a one-to-one correspondence manner to obtain a complementary degree corresponding to each sub-data further includes:
and correspondingly comparing the first main view sub-data in the first multi-dimensional character data with the second main view sub-data in the second multi-dimensional character data one by one to determine the corresponding complementary degree of the main view sub-data.
Optionally, the sub-data further includes external sub-data, and the step of comparing the first sub-data in the first multidimensional lattice data with the second sub-data in the second multidimensional lattice data in a one-to-one correspondence manner to obtain the complementary degree corresponding to each sub-data further includes:
and correspondingly comparing the first outward subdata in the first multidimensional character data with the second outward subdata in the second multidimensional character data one by one to determine the corresponding complementary degree of the outward subdata.
Optionally, the step of pairing the first user and the second user based on the corresponding complementary degree of each sub-data and the corresponding weight coefficient thereof includes:
determining a first weight coefficient corresponding to the direct subdata, and multiplying the complementary degree corresponding to the direct subdata by the first weight coefficient to obtain a first target complementary degree;
determining a second weight coefficient corresponding to the leading desired sub-data, and multiplying the complementary degree corresponding to the leading desired sub-data by the second weight coefficient to obtain a second target complementary degree;
determining a third weight coefficient corresponding to the main view sub-data, and multiplying the complementary degree corresponding to the main view sub-data by the third weight coefficient to obtain a third target complementary degree;
determining a fourth weight coefficient corresponding to the extrinsic sub-data, and multiplying the fourth weight coefficient by the complementary degree cloud corresponding to the extrinsic sub-data to obtain a fourth target complementary degree;
adding the first target complementary degree, the second target complementary degree, the third target complementary degree and the fourth target complementary degree to obtain corresponding final complementary degrees;
and pairing the first user and the second user according to the final complementary degree and a preset three-view consistency degree.
Optionally, the step of acquiring the first multidimensional character data of the first user and the step of acquiring the second multidimensional character data of the second user includes:
acquiring first questionnaire data filled by the first user, and acquiring first multidimensional lattice data corresponding to the first user based on the first questionnaire data;
and acquiring second questionnaire data filled in by the second user, and acquiring second multidimensional character data corresponding to the second user based on the second questionnaire data.
In addition, to achieve the above object, the present application further provides a marriage and love pairing device based on multidimensional character data, including:
the device comprises an acquisition module, a storage module and a processing module, wherein the acquisition module is used for acquiring first multidimensional character data of a first user and second multidimensional character data of a second user, and the first multidimensional character data and the second multidimensional character data comprise a plurality of subdata;
a comparison module, configured to compare first sub-data in the first multidimensional lattice data with second sub-data in the second multidimensional lattice data in a one-to-one correspondence manner, so as to obtain a complementary degree corresponding to each sub-data;
and the pairing module is used for pairing the first user and the second user based on the corresponding complementary degree of each subdata and the corresponding weight coefficient of the subdata.
In addition, to achieve the above object, the present application further provides a marriage and love pairing system, which includes a memory, a processor, and a marriage and love pairing program stored in the memory and running on the processor, wherein the marriage and love pairing program, when executed by the processor, implements the steps of the multi-dimensional character data-based marriage and love pairing method described above.
In addition, to achieve the above object, the present application also provides a medium having a love and marriage pairing program stored thereon, wherein the love and marriage pairing program, when executed by a processor, implements the steps of the love and marriage pairing method based on multidimensional character data as described above.
In addition, to achieve the above object, the present application further provides a computer program product, which includes a computer program that, when being executed by the processor, implements the steps of the method for marriage and love pairing based on multidimensional character data as described above.
The application provides a marriage and love pairing method, device, system and medium based on multi-dimensional character data, wherein a plurality of subdata are arranged in first multi-dimensional character data and second multi-dimensional character data of a second user by acquiring the first multi-dimensional character data of the first user and the second multi-dimensional character data; comparing first subdata in the first multidimensional character data with second subdata in the second multidimensional character data in a one-to-one correspondence manner to obtain the corresponding complementary degree of each subdata; and pairing the first user and the second user based on the corresponding complementary degree of each subdata and the corresponding weight coefficient. Therefore, the multi-dimensional character data of the first user and the multi-dimensional character data of the second user are compared with each other, and comprehensive comparison is carried out on the character data of the first user and the character data of the second user from multiple dimensions, multiple directions and multiple angles, so that the character data between the first user and the second user which are paired are highly complementary, and the accuracy of marriage and love pairing is improved.
Drawings
FIG. 1 is a system diagram illustrating a hardware operating environment according to an embodiment of the present disclosure;
FIG. 2 is a schematic flow chart of a first embodiment of a marriage and love pairing method based on multidimensional character data according to the application;
FIG. 3 is a detailed flowchart of step S10 of the first embodiment of the marriage and love pairing method based on multidimensional character data according to the present application;
FIG. 4 is a schematic diagram of a direct sub-representation of a marriage and love pairing method based on multidimensional character data according to the present application;
FIG. 5 is a schematic diagram illustrating dominant desire representation of a love and marriage pairing method based on multidimensional character data according to the present application;
FIG. 6 is a schematic diagram illustrating a principal overview of a marriage and love pairing method based on multidimensional character data according to the present application;
FIG. 7 is a schematic diagram illustrating extroversion of a marriage and love pairing method based on multidimensional character data according to the application;
FIG. 8 is a flowchart illustrating a detailed process of step S20 in the first embodiment of the method for marriage and love pairing based on multidimensional character data;
FIG. 9 is a flowchart illustrating a detailed process of step S20 in the first embodiment of the method for marriage and love pairing based on multidimensional character data;
FIG. 10 is a flowchart illustrating a detailed process of step S20 in the first embodiment of the method for marriage and love pairing based on multidimensional character data;
FIG. 11 is a flowchart illustrating a detailed process of step S20 in the first embodiment of the method for marriage and love pairing based on multidimensional character data;
FIG. 12 is a flowchart illustrating a detailed process of step S30 in the first embodiment of the method for marriage and love pairing based on multidimensional character data;
FIG. 13 is a schematic flowchart of the detailed step S306 of the marriage and love pairing method based on multidimensional character data according to the present application;
fig. 14 is a schematic functional block diagram of a preferred love and marriage pairing device based on multidimensional character data according to the present application.
The implementation, functional features and advantages of the objectives of the present application will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
The main solution of the embodiment of the application is as follows: acquiring first multi-dimensional character data of a first user and second multi-dimensional character data of a second user, wherein the first multi-dimensional character data and the second multi-dimensional character data comprise a plurality of subdata; comparing first subdata in the first multidimensional character data with second subdata in the second multidimensional character data in a one-to-one correspondence manner to obtain the corresponding complementary degree of each subdata; and pairing the first user and the second user based on the corresponding complementary degree of each subdata and the corresponding weight coefficient. The multi-dimensional character data of the first user and the multi-dimensional character data of the second user are compared with each other, comprehensive comparison is carried out on the character data of the first user and the character data of the second user from multiple dimensions, multiple directions and multiple angles, therefore, the character data between the paired first user and the paired second user are highly complementary, and the accuracy of marriage between marriage is improved.
Specifically, referring to fig. 1, fig. 1 is a schematic system structure diagram of a hardware operating environment according to an embodiment of the present application.
As shown in fig. 1, the system may be a server or a mobile terminal with data processing, and the system may include: a processor 1001, such as a CPU (Central Processing Unit), a memory 1005, a user interface 1003, a network interface 1004, and a communication bus 1002. A communication bus 1002 is used to enable connection communications between these components. The user interface 1003 may include a Display screen (Display), an input unit such as a keyboard (board), and the user interface 1003 may optionally include a standard wired interface (e.g., a USB (Universal Serial Bus) interface), and a wireless interface (e.g., a bluetooth interface). The network interface 1004 may include a standard wired interface, a Wireless interface (e.g., a WI-FI interface). The memory 1005 may be a high-speed RAM memory or a non-volatile memory (e.g., a magnetic disk memory). The memory 1005 may alternatively be a storage device separate from the processor 1001. Optionally, the system may further include RF (Radio Frequency) circuitry, sensors, WiFi modules, and the like.
Those skilled in the art will appreciate that the system architecture shown in FIG. 1 is not intended to be limiting of the system, and may include more or fewer components than those shown, or some components may be combined, or an arrangement of different components may be used.
As shown in fig. 1, a memory 1005 serving as a medium (it should be noted that the medium in the embodiment of the present application is a computer-readable storage medium) may include an operating system, a network communication module, a user interface module, and a marriage and love pairing program. The operating system is a program for managing and controlling system hardware and software resources, and supports the operation of a marriage partner program and other software or programs.
In the system shown in fig. 1, the network interface 1004 is mainly used for connecting to a backend server and communicating with the backend server; the user interface 1003 is mainly used for connecting a user terminal and performing data communication with the user terminal; among other things, the processor 1001 may be configured to call a marriage partner program stored in the memory 1005, and perform the following operations:
acquiring first multidimensional character data of a first user and second multidimensional character data of a second user, wherein the first multidimensional character data and the second multidimensional character data comprise a plurality of subdata;
comparing first subdata in the first multidimensional character data with second subdata in the second multidimensional character data in a one-to-one correspondence manner to obtain the corresponding complementary degree of each subdata;
and pairing the first user and the second user based on the corresponding complementary degree of each subdata and the corresponding weight coefficient of the subdata.
Further, the processor 1001 may call the marriage partner pairing program stored in the memory 1005, and also perform the following operations:
and correspondingly comparing the first direct subdata in the first multidimensional character data with the second direct subdata in the second multidimensional character data one by one to determine the corresponding complementary degree of the direct subdata.
Further, the processor 1001 may call the marriage partner pairing program stored in the memory 1005, and also perform the following operations:
and correspondingly comparing the first dominant data in the first multi-dimensional character data with the second dominant data in the second multi-dimensional character data one by one to determine the corresponding complementary degree of the dominant data.
Further, the processor 1001 may call the marriage partner pairing program stored in the memory 1005, and also perform the following operations:
and correspondingly comparing the first main view sub-data in the first multi-dimensional character data with the second main view sub-data in the second multi-dimensional character data one by one to determine the corresponding complementary degree of the main view sub-data.
Further, the processor 1001 may call the marriage partner pairing program stored in the memory 1005, and also perform the following operations:
and correspondingly comparing the first outward subdata in the first multidimensional character data with the second outward subdata in the second multidimensional character data one by one to determine the corresponding complementary degree of the outward subdata.
Further, the processor 1001 may call the marriage partner pairing program stored in the memory 1005, and also perform the following operations:
determining a first weight coefficient corresponding to the direct subdata, and multiplying the complementary degree corresponding to the direct subdata by the first weight coefficient to obtain a first target complementary degree;
determining a second weight coefficient corresponding to the leading desired sub-data, and multiplying the complementary degree corresponding to the leading desired sub-data by the second weight coefficient to obtain a second target complementary degree;
determining a third weight coefficient corresponding to the main view sub-data, and multiplying the complementary degree corresponding to the main view sub-data by the third weight coefficient to obtain a third target complementary degree;
determining a fourth weight coefficient corresponding to the extrinsic sub-data, and multiplying the fourth weight coefficient by the complementary degree cloud corresponding to the extrinsic sub-data to obtain a fourth target complementary degree;
adding the first target complementary degree, the second target complementary degree, the third target complementary degree and the fourth target complementary degree to obtain corresponding final complementary degrees;
and pairing the first user and the second user according to the final complementary degree and a preset three-view consistency degree.
Further, the processor 1001 may call the marriage partner pairing program stored in the memory 1005, and also perform the following operations:
acquiring first questionnaire data filled by the first user, and acquiring first multidimensional lattice data corresponding to the first user based on the first questionnaire data;
and acquiring second questionnaire data filled in by the second user, and acquiring second multidimensional character data corresponding to the second user based on the second questionnaire data.
The application provides a marriage and love pairing method based on multidimensional character data, and referring to fig. 2, fig. 2 is a schematic flow chart of a first embodiment of the marriage and love pairing method based on multidimensional character data.
The embodiments of the present application provide embodiments of a method for marriage-love pairing based on multidimensional character data, and it should be noted that although a logical order is shown in the flowchart, in some data, the steps shown or described may be performed in an order different from that described here.
The method of the embodiment of the present application is exemplified by taking a marriage and love pairing system as an execution subject. The marriage and love pairing method based on the multidimensional character data comprises the following steps:
step S10, obtaining first multidimensional character data of a first user and obtaining second multidimensional character data of a second user, where the first multidimensional character data and the second multidimensional character data include a plurality of sub-data.
It should be noted that there are many character data, and for the convenience of understanding, the multidimensional character data is illustrated by the following steps of direct sex, dominant libido, dominant visuals and extroversion.
Further, when the marriage and love pairing system detects that the user logs in the preset marriage and love application program and determines that the user is a new registered user of the preset marriage and love application program, the questionnaire data to be filled in needs to be sent to the user terminal corresponding to the user. After receiving a completion instruction sent by a user terminal, detecting whether the required item in the questionnaire data to be filled in is completely filled in, and if detecting that the required item in the questionnaire data to be filled in is not completely filled in, prompting the user to supplement by the marriage and love pairing system. If it is detected that all the required items in the questionnaire data to be filled are filled, the marriage and love pairing system acquires the user account information of the user, binds the user account information with the questionnaire data filled by the user, and stores the bound questionnaire data into a database, wherein the user account information is unique, that is, the user account information of each user cannot be repeated. Further, the user may not fill in the questionnaire data to be filled in sent by the marriage and love pairing system, but after the pairing instruction is triggered, the marriage and love pairing system returns an error prompt message, that is, only when the user completes the questionnaire data to be filled in sent by the marriage and love pairing system, the marriage and love pairing system will respond to the pairing instruction for pairing.
After detecting that a user opens a preset marriage application program, the marriage and love pairing system automatically acquires the character data corresponding to the user according to the account information of the user. Certainly, the marriage and love pairing system may also obtain the personality data corresponding to the user according to the account information of the user after detecting the pairing instruction triggered by the user, which is not limited herein. For better understanding, the present embodiment is illustrated with the user manually triggering the pairing instruction. Specifically, after detecting that a pairing instruction is triggered by a user in a preset marriage application program, a marriage pairing system obtains first multidimensional character data of the user, wherein the multidimensional character data is character data composed of a plurality of sub character data (subdata), and the user triggering the pairing instruction is the first user. Then, the marriage and love pairing system acquires second multidimensional character data of other users in the database, wherein the other users are the second users, namely the second users refer to a plurality of users.
Step S20, comparing the first sub-data in the first multidimensional lattice data with the second sub-data in the second multidimensional lattice data in a one-to-one correspondence manner, to obtain the complementary degree corresponding to each sub-data.
After the marriage and love pairing system determines the first multidimensional character data of the first user and the second multidimensional character data of the second user, all the first subdata in the first multidimensional character data and all the second subdata in the second multidimensional character data are correspondingly compared one by one, and the corresponding complementary degree of each subdomain data in the multidimensional character data is determined.
Step S30, pairing the first user and the second user based on the complementary degree corresponding to each of the sub-data and the corresponding weight coefficient.
It should be noted that the direct sub-data, the dominant sub-data, and the extrinsic sub-data in the multi-dimensional character data all have their corresponding weight ratios. After the marriage and love pairing system obtains the complementary degree corresponding to each sub-character data in the multi-dimensional character data, the complementary degree corresponding to each sub-character data is multiplied by the corresponding weight proportion to obtain the target complementary degree corresponding to each sub-character data, and then all the target complementary degrees are added to obtain the final complementary degree of the multi-dimensional character data. Then, the marriage and love pairing system compares the final complementary degree with the set complementary degree in the marriage and love pairing system, and pairs the first user and the second user according to the comparison result.
In this embodiment, a first multidimensional character data of a first user is obtained, and a second multidimensional character data of a second user is obtained, where the first multidimensional character data and the second multidimensional character data include a plurality of subdata; comparing first subdata in the first multidimensional character data with second subdata in the second multidimensional character data in a one-to-one correspondence manner to obtain the corresponding complementary degree of each subdata; and pairing the first user and the second user based on the corresponding complementary degree of each subdata and the corresponding weight coefficient. Therefore, in the embodiment, the multi-dimensional character data of the first user and the multi-dimensional character data of the second user are compared with each other, and the character data of the first user and the character data of the second user are comprehensively compared from multiple dimensions, multiple directions and multiple angles, so that the character data between the first user and the second user which are paired are highly complementary, and the accuracy of marriage and love pairing is improved.
Further, referring to fig. 3, fig. 3 is a detailed flowchart of step S10 of the first embodiment of the marriage and love pairing method based on multidimensional character data according to the present application. The step S10 includes:
step S101, acquiring first questionnaire data filled by the first user, and acquiring first multidimensional character data corresponding to the first user based on the first questionnaire data;
step S102, obtaining second questionnaire data filled by the second user, and obtaining second multidimensional character data corresponding to the second user based on the second questionnaire data.
Specifically, the marriage and love pairing system determines first user account information of a first user, acquires first questionnaire data filled by the first user from a database according to the first user account information, and then performs data analysis on the first questionnaire data to determine each piece of sub-form data in the first questionnaire data. And then all the sub-character data are combined to obtain first multi-dimensional character data corresponding to the first user. Similarly, the marriage and love pairing system determines second user account information of the second user, acquires second questionnaire data filled by the second user from the database according to the second user account information, and then performs data analysis on the second questionnaire data to determine each piece of sub-form data in the second questionnaire data. And then all the sub-character data are combined to obtain second multi-dimensional character data corresponding to a second user.
Note that the first questionnaire data and the second questionnaire data are one form of a personality data questionnaire library, and for convenience of understanding of the embodiment of the present application, some questions (not all questions) in the personality data questionnaire library are listed in a table format. Each subdata has a corresponding score, namely the direct subdata, the dominant desire subdata, the subjectively subdata and the extroversion subdata have corresponding scores, and different scores represent different degrees of the direct subdata, the dominant desire, the subjectively subdata and the extroversion. As shown in fig. 4-7. FIG. 4 is a schematic diagram of a direct sub-representation of a marriage and love pairing method based on multidimensional character data according to the present application; FIG. 5 is a schematic diagram illustrating dominant desire representation of a love and marriage pairing method based on multidimensional character data according to the present application; FIG. 6 is a schematic diagram illustrating a principal overview of a marriage and love pairing method based on multidimensional character data according to the present application; fig. 7 is a schematic diagram illustrating extroversion of the marriage and love pairing method based on multidimensional character data.
The embodiment acquires first questionnaire data filled in by a first user, and acquires first multidimensional character data corresponding to the first user based on the first questionnaire data; and acquiring second questionnaire data filled in by a second user, and acquiring second multidimensional character data corresponding to the second user based on the second questionnaire data. In the embodiment, the question bank carries out multi-dimensional evaluation on the personality data of the user in the form of questionnaires, so that the accuracy of the personality data of the user is improved
Further, referring to fig. 8, fig. 8 is a detailed flowchart of step S20 of the first embodiment of the marriage and love pairing method based on multidimensional character data according to the present application. The step S20 includes:
step S201, comparing the first linear subdata in the first multidimensional lattice data with the second linear subdata in the second multidimensional lattice data in a one-to-one correspondence manner, so as to determine a degree of complementation corresponding to the linear subdata.
Specifically, the child data in the multidimensional character data includes a direct child data. Therefore, the first multidimensional lattice data includes the first linear subdata, and the second multidimensional lattice data includes the second linear subdata. Then, the marriage and love pairing system compares the first direct subdata with the second direct subdata, and determines the complementary degree of the first direct subdata and the second direct subdata, wherein the complementary degree can also be understood as a character dependency and character gain among users. The degree of complementarity corresponds to each grade, and the number of grades is not limited, and if the number of grades is 3 grades, the grades are respectively complementary with a high degree of complementarity, a medium degree of complementarity, and a low degree of complementarity.
In this embodiment, the first direct sub-data in the first multidimensional lattice data and the second direct sub-data in the second multidimensional lattice data are compared in a one-to-one correspondence manner, so as to determine the degree of complementation corresponding to the direct sub-data. Therefore, in the embodiment, the pairing relationship between the users is determined according to the corresponding complementary degree of the direct child data, so that the direct children between the paired first user and the paired second user are highly complementary, and the paired users can maintain a healthy, long-term and stable marriage and love relationship.
Further, referring to fig. 9, fig. 9 is a detailed flowchart of step S20 of the first embodiment of the marriage and love pairing method based on multidimensional character data according to the present application. The step S20 further includes:
step S203, comparing the first dominant expected data in the first multi-dimensional character data with the second dominant expected data in the second multi-dimensional character data in a one-to-one correspondence manner, so as to determine the degree of complementation corresponding to the dominant expected data.
Specifically, the sub-data in the multidimensional character data further includes the main desired sub-data. Therefore, the first multi-dimensional character data includes first leading desire data, and the second multi-dimensional character data includes second leading desire data. Then, the marriage and love pairing system compares the first main desired data with the second main desired data to determine the complementary degree of the first main desired data and the second main desired data.
In this embodiment, the first leading data in the first multi-dimensional character data and the second leading data in the second multi-dimensional character data are compared in a one-to-one correspondence manner, so as to determine the degree of complementation corresponding to the leading data. Therefore, the pairing relationship between the users is determined according to the complementary degree corresponding to the dominant desire data, so that the dominant desires between the paired first user and the paired second user are highly complementary, and the paired users can maintain a healthy, long-term and stable marriage relationship.
Further, referring to fig. 10, fig. 10 is a detailed flowchart of step S20 of the first embodiment of the marriage and love pairing method based on multidimensional character data according to the present application. The step S20 further includes:
step S205, comparing the first dominant sub data in the first multidimensional lattice data with the second dominant sub data in the second multidimensional lattice data in a one-to-one correspondence manner, so as to determine a complementary degree corresponding to the dominant sub data.
Specifically, the child data in the multidimensional character data further includes the main view data. Therefore, the first multi-dimensional character data includes the first subjectively sub data, and the second multi-dimensional character data includes the second subjectively sub data. And then, the marriage and love pairing system compares the first main view sub-data with the second main view sub-data to determine the complementary degree of the first main view sub-data and the second main view sub-data.
In the embodiment, the first dominant sub data in the first multidimensional lattice data and the second dominant sub data in the second multidimensional lattice data are correspondingly compared one by one to obtain the corresponding complementary degree; and determining the complementary degree corresponding to the main and sub data based on the complementary degree of the first and second main and sub data. Therefore, in the embodiment, the pairing relationship between the users is determined according to the complementary degree corresponding to the subjectively sub data, so that the subjectively of the paired first user and the second user is highly complementary, and the paired users can maintain a healthy, long-term and stable marriage and love relationship.
Further, referring to fig. 11, fig. 11 is a detailed flowchart of step S20 of the first embodiment of the marriage and love pairing method based on multidimensional character data according to the present application. The step S20 further includes:
step S207, comparing the first outward subdata in the first multidimensional character data with the second outward subdata in the second multidimensional character data in a one-to-one correspondence manner, so as to determine the degree of complementation corresponding to the outward subdata.
Specifically, the child data in the multidimensional character data further includes the external child data. Therefore, the first multidimensional character data includes first outward sub-data, and the second multidimensional character data includes second outward sub-data. Then, the marriage and love pairing system compares the first outward subdata with the second outward subdata to determine the complementary degree of the first outward subdata and the second outward subdata.
In the embodiment, the first outward subdata in the first multidimensional character data and the second outward subdata in the second multidimensional character data are correspondingly compared one by one to obtain corresponding complementary degrees; and determining the corresponding complementary degree of the outward subdata based on the complementary degree of the first outward subdata and the second outward subdata. Therefore, in the embodiment, the pairing relationship between the users is determined according to the complementary degree corresponding to the outward subdata, so that the outward property between the paired first user and the paired second user is highly complementary, and the paired users can maintain a healthy, long-term and stable marriage and love relationship.
Further, referring to fig. 12, fig. 12 is a schematic flowchart illustrating a detailed process of step S30 in the first embodiment of the method for marriage and love pairing based on multidimensional character data according to the present application. The step S30 includes:
step S301, determining a first weight coefficient corresponding to the direct subdata, and multiplying the complementary degree corresponding to the direct subdata by the first weight coefficient to obtain a first target complementary degree;
step S302, determining a second weight coefficient corresponding to the leading desired sub-data, and multiplying the complementary degree corresponding to the leading desired sub-data by the second weight coefficient to obtain a second target complementary degree;
step S303, determining a third weight coefficient corresponding to the main view sub-data, and multiplying the complementary degree corresponding to the main view sub-data by the third weight coefficient to obtain a third target complementary degree;
step S304, determining a fourth weight coefficient corresponding to the extrinsic sub-data, and multiplying the fourth weight coefficient by the complementary degree cloud corresponding to the extrinsic sub-data to obtain a fourth target complementary degree;
step S305, adding the first target complementary degree, the second target complementary degree, the third target complementary degree and the fourth target complementary degree to obtain a corresponding final complementary degree;
and S306, pairing the first user and the second user according to the final complementary degree and a preset three-aspect consistent degree.
Specifically, after the marriage and love pairing system determines the complementary degree corresponding to each subdata in the multidimensional character data, it needs to determine the weighting coefficient corresponding to each subdata, wherein the direct subdata corresponds to the first weighting coefficient, the dominant desired subdata corresponds to the second weighting coefficient, the dominant subdata corresponds to the third weighting coefficient, and the outward subdata corresponds to the fourth weighting coefficient.
The marriage and love pairing system multiplies the complementary degree corresponding to the direct subdata by the first weight coefficient to obtain a first target complementary degree. And multiplying the complementary degree corresponding to the main desired data by the second weight coefficient to obtain a second target complementary degree. And multiplying the complementary degree corresponding to the main view data by the third weight coefficient to obtain a third target complementary degree. And multiplying the complementary degree corresponding to the outward subdata by the fourth weight coefficient to obtain a fourth target complementary degree. And then, adding and summing the first target complementary degree, the second target complementary degree, the third target complementary degree and the fourth target complementary degree of the love and marriage pairing system to obtain corresponding calculated values, wherein the calculated values are final complementary degrees obtained by comparing the multidimensional character data of the first user and the second user, and the final complementary degrees are used for determining the complementary degrees of the character data of the first user and the character data of the second user.
It should be noted that, in the embodiment of the present application, the degree of complementation of the character data is obtained by matching the direct sub-data, the dominant sub-data, and the outward sub-data of the first user and the second user, where some application scenarios are as follows, but are not limited to the following application scenarios.
For the linear subdata, the more complementary the linear subdata of the first user and the linear subdata of the second user, the higher the complementary degree, for example, the linear subdata of the first user is "piqi blame", the linear subdata of the second user is "piqi mild", the complementary degree of the linear subdata of the first user and the second user may be "high complementary degree", and if the linear subdata of the first user is "piqi blame", the linear subdata of the second user is "piqi blame", the complementary degree of the linear subdata of the first user and the second user may be "low complementary degree". For the dominant desired data, the more complementary the dominant desired data of the first user and the dominant desired data of the second user, the higher the complementary degree, for example, the dominant desired data of the first user is "control desired to be strong", the dominant desired data of the second user is "control desired to be low", the complementary degree of the dominant desired data of the first user and the second user is "high complementary degree", and if the dominant desired data of the first user is "control desired to be strong", the dominant desired data of the second user is "control desired to be strong", the complementary degree of the dominant desired data of the first user and the second user is "low complementary degree". For the main view sub-data, the closer the main view sub-data of the first user and the main view sub-data of the second user are, the higher the complementary degree is, for example, the main view sub-data of the first user is "strong autonomy", the main view sub-data of the second user is "strong autonomy", the complementary degree of the main view sub-data of the first user and the second user is "high complementary degree", and if the main view sub-data of the first user is "strong autonomy", and the main view sub-data of the second user is "poor autonomy", the complementary degree of the main view sub-data of the first user and the second user is "low complementary degree". For the external subdata, the closer the external subdata of the first user and the external subdata of the second user are, the higher the complementary degree is, for example, the external subdata of the first user is "like social contact", the external subdata of the second user is "like independent", the complementary degree of the external subdata of the first user and the second user is "low complementary degree", and if the external subdata of the first user is "like social contact", and the external subdata of the second user is "like social contact", the complementary degree of the external subdata of the first user and the second user is "high complementary degree".
It can be further understood that the higher the final complementary degree is, the higher the complementary degree of the character data of the first user and the second user is, and the matching probability of the first user and the second user is higher. Therefore, the marriage and love pairing system needs to further compare the final complementary degree with the preset complementary degree, and if it is determined that the final complementary degree is greater than or equal to the preset complementary degree, the marriage and love pairing system determines that the first user and the second user meet the pairing condition, and pairs the first user and the second user, that is, recommends the first user to the second user, and recommends the second user to the first user at the same time. And if the final complementary degree is smaller than the preset complementary degree, the marriage and love pairing system determines that the first user and the second user do not accord with the pairing condition, and does not execute the pairing process. The preset complementary degree is set by a technician, and the embodiment is not limited.
It should be noted that, in this embodiment, in addition to the final complementary degree obtained by summing up all the first target complementary degree, the second target complementary degree, the third target complementary degree and the fourth target complementary degree, any one of the first target complementary degree, the second target complementary degree, the third target complementary degree and the fourth target complementary degree may be used as the final complementary degree. Meanwhile, any two of the first target complementary degree, the second target complementary degree, the third target complementary degree and the fourth target complementary degree can be added and summed to obtain the final complementary degree. Furthermore, any three of the first target complementary degree, the second target complementary degree, the third target complementary degree and the fourth target complementary degree may be added and summed to obtain the final complementary degree.
In this embodiment, a first target complementary degree is obtained by determining a first weight coefficient corresponding to the direct sub-data and multiplying the complementary degree corresponding to the direct sub-data by the first weight coefficient; determining a second weight coefficient corresponding to the leading desired sub-data, and multiplying the complementary degree corresponding to the leading desired sub-data by the second weight coefficient to obtain a second target complementary degree; determining a third weight coefficient corresponding to the main view sub-data, and multiplying the complementary degree corresponding to the main view sub-data by the third weight coefficient to obtain a third target complementary degree; determining a fourth weight coefficient corresponding to the extrinsic sub-data, and multiplying the fourth weight coefficient of the complementary degree cloud corresponding to the extrinsic sub-data to obtain a fourth target complementary degree; adding the first target complementary degree, the second target complementary degree, the third target complementary degree and the fourth target complementary degree to obtain corresponding final complementary degrees; and pairing the first user and the second user according to the final complementary degree and a preset three-view consistency degree. Therefore, in the embodiment, by calculating the final complementary degree of the direct child data, the dominant desire data, the dominant view data and the outward child data and comparing the obtained final complementary degree with the preset complementary degree, whether the first user and the second user are paired is determined, multiple pairing verification is set, high complementation of the direct child data, the dominant desire data, the dominant view data and the outward personality data among the users is guaranteed, and the paired users can maintain a healthy, long-term and stable love and marriage relationship while the pairing accuracy is improved.
Further, referring to fig. 13, fig. 13 is a schematic detailed flow chart of step S306 of the marriage and love pairing method based on multidimensional character data according to the present application. The step S306 includes:
step S3061, if the final complementary degree is greater than or equal to a preset complementary degree, calculating the final complementary degree and the preset three-dimensional consistent degree, and then sequentially sequencing the final complementary degree and the preset three-dimensional consistent degree from high to low;
step S3062, matching the corresponding second users with the first user in sequence from high to low.
Specifically, if the final complementary degree is greater than or equal to the preset complementary degree, the marriage and love pairing system calculates all the final complementary degrees and the preset three-aspect consistent degree to obtain a score, and then sorts the scores in sequence from high to low. And then, the marriage and love pairing system matches the second users corresponding to the sorted scores with the first users in sequence from high to low.
In this embodiment, for example, the final complementary degrees are 8.5, 8.3, 8.7, 8.2, and 9.2, the preset complementary degree is 8.0, and the preset three-view matching degree is also 8.0, then the marriage and love pairing system calculates the corresponding scores of 8.5, 8.3, 8.7, 8.0, and 9.2 according to the formula "final complementary degree M% + preset three-view matching degree N%" (where M and N are set by a technician on the basis of differences in actual applications, and this embodiment is not limited), and then sorts the scores in order from high to low, and finally, matches the second user a, the second user B, the second user C, the second user D, and the second user E corresponding to the scores sorted from high to low in order with the first user in order.
If the final complementary degree is greater than or equal to the preset complementary degree, the scores obtained by calculating the final complementary degree and the preset three-aspect consistent degree are sequentially sorted from high to low; and matching the second users corresponding to the sorted scores with the first users in sequence from high to low. Therefore, the first user and the second user are sequentially matched according to the final complementary degree, so that the matching degree between the first user and the second user is higher, the matching accuracy is improved, and the matched users can maintain a healthy, long-term and stable marriage relationship.
Referring to fig. 14, fig. 14 is a schematic functional block diagram of a preferred love and marriage partner device based on multidimensional character data according to the present application. The marriage and love pairing device based on the multidimensional character data comprises:
an obtaining module 10, configured to obtain first multidimensional character data of a first user and obtain second multidimensional character data of a second user, where the first multidimensional character data and the second multidimensional character data include a plurality of sub-data;
a comparison module 20, configured to compare first sub-data in the first multidimensional lattice data with second sub-data in the second multidimensional lattice data in a one-to-one correspondence manner, so as to obtain a complementary degree corresponding to each sub-data;
a pairing module 30, configured to pair the first user and the second user based on the complementary degree corresponding to each sub-data and the corresponding weight coefficient.
The specific implementation of the marriage and love pairing device based on multidimensional character data is basically the same as that of the above embodiments of the marriage and love pairing method based on multidimensional character data, and is not described herein again.
In addition, the present application further provides a medium, in which a marriage and love pairing program is stored, and the marriage and love pairing program, when executed by a processor, implements the steps of the marriage and love pairing method based on multidimensional character data as described above.
The specific implementation of the medium of the present application is substantially the same as that of each embodiment of the above-mentioned marriage and love pairing method based on multidimensional character data, and details are not repeated here.
Furthermore, an embodiment of the present application also provides a computer program product, which includes a computer program, and the computer program implements the steps of the method for pairing marriage and love based on multidimensional character data as described above when being executed by the processor.
The specific implementation of the computer program product of the present application is substantially the same as the embodiments of the above-mentioned marriage and love pairing method based on multidimensional character data, and details are not repeated here.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The above-mentioned serial numbers of the embodiments of the present application are merely for description and do not represent the merits of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but the former is a better implementation manner in many cases. Based on such understanding, the technical solutions of the present application may be embodied in the form of software goods, which are stored in a storage medium (e.g., RAM, optical disc), and include instructions for enabling a marriage partner pairing system to complete the methods described in the embodiments of the present application.
Claims (10)
1. A marriage and love pairing method based on multidimensional character data is characterized by comprising the following steps:
acquiring first multidimensional character data of a first user and second multidimensional character data of a second user, wherein the first multidimensional character data and the second multidimensional character data comprise a plurality of subdata;
comparing first subdata in the first multidimensional character data with second subdata in the second multidimensional character data in a one-to-one correspondence manner to obtain the corresponding complementary degree of each subdata;
and pairing the first user and the second user based on the corresponding complementary degree of each subdata and the corresponding weight coefficient of the subdata.
2. The method as claimed in claim 1, wherein the sub-data includes direct sub-data, and the step of comparing the first sub-data in the first multidimensional data with the second sub-data in the second multidimensional data in a one-to-one correspondence manner to obtain the degree of complementation of each sub-data includes:
and correspondingly comparing the first direct subdata in the first multidimensional character data with the second direct subdata in the second multidimensional character data one by one to determine the corresponding complementary degree of the direct subdata.
3. The method as claimed in claim 2, wherein the sub-data further includes main desired sub-data, and the step of comparing the first sub-data in the first multi-dimensional character data with the second sub-data in the second multi-dimensional character data in a one-to-one correspondence manner to obtain the degree of complementation of each sub-data further comprises:
and correspondingly comparing the first dominant data in the first multi-dimensional character data with the second dominant data in the second multi-dimensional character data one by one to determine the corresponding complementary degree of the dominant data.
4. The method as claimed in claim 3, wherein the sub-data further includes a main sub-data, and the step of comparing the first sub-data in the first multi-dimensional character data with the second sub-data in the second multi-dimensional character data in a one-to-one correspondence manner to obtain the degree of complementation of each sub-data further comprises:
and correspondingly comparing the first main view sub-data in the first multi-dimensional character data with the second main view sub-data in the second multi-dimensional character data one by one to determine the corresponding complementary degree of the main view sub-data.
5. The multi-dimensional character data-based love and marriage pairing method according to claim 4, wherein the sub-data further comprises external sub-data, and the step of comparing the first sub-data in the first multi-dimensional character data with the second sub-data in the second multi-dimensional character data in a one-to-one correspondence manner to obtain the degree of complementation of each sub-data further comprises:
and correspondingly comparing the first outward subdata in the first multidimensional character data with the second outward subdata in the second multidimensional character data one by one to determine the corresponding complementary degree of the outward subdata.
6. The method as claimed in claim 5, wherein the step of pairing the first user and the second user based on the degree of complementarity of each of the sub-data and the weighting coefficients thereof comprises:
determining a first weight coefficient corresponding to the direct subdata, and multiplying the complementary degree corresponding to the direct subdata by the first weight coefficient to obtain a first target complementary degree;
determining a second weight coefficient corresponding to the leading desired sub-data, and multiplying the complementary degree corresponding to the leading desired sub-data by the second weight coefficient to obtain a second target complementary degree;
determining a third weight coefficient corresponding to the main view sub-data, and multiplying the complementary degree corresponding to the main view sub-data by the third weight coefficient to obtain a third target complementary degree;
determining a fourth weight coefficient corresponding to the extrinsic sub-data, and multiplying the fourth weight coefficient by the complementary degree cloud corresponding to the extrinsic sub-data to obtain a fourth target complementary degree;
adding the first target complementary degree, the second target complementary degree, the third target complementary degree and the fourth target complementary degree to obtain corresponding final complementary degrees;
and pairing the first user and the second user according to the final complementary degree and a preset three-view consistency degree.
7. The multi-dimensional character data-based marriage pairing method according to any one of claims 1 to 6, wherein the steps of acquiring first multi-dimensional character data of a first user and acquiring second multi-dimensional character data of a second user comprise:
acquiring first questionnaire data filled by the first user, and acquiring first multidimensional lattice data corresponding to the first user based on the first questionnaire data;
and acquiring second questionnaire data filled in by the second user, and acquiring second multidimensional character data corresponding to the second user based on the second questionnaire data.
8. A marriage and love pairing device based on multidimensional character data is characterized by comprising:
the device comprises an acquisition module, a storage module and a processing module, wherein the acquisition module is used for acquiring first multidimensional character data of a first user and second multidimensional character data of a second user, and the first multidimensional character data and the second multidimensional character data comprise a plurality of subdata;
a comparison module, configured to compare first sub-data in the first multidimensional lattice data with second sub-data in the second multidimensional lattice data in a one-to-one correspondence manner, so as to obtain a complementary degree corresponding to each sub-data;
and the pairing module is used for pairing the first user and the second user based on the corresponding complementary degree of each subdata and the corresponding weight coefficient of the subdata.
9. A marriage pairing system comprising a memory, a processor and a marriage pairing program stored on the memory and running on the processor, wherein the marriage pairing program when executed by the processor implements the steps of the multidimensional lattice data based marriage pairing method of any one of claims 1 to 7.
10. A medium having a love and marriage pairing program stored thereon, wherein the love and marriage pairing program when executed by a processor implements the steps of the method for love and marriage based on multidimensional character data according to any one of claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110870058.1A CN113704634A (en) | 2021-07-29 | 2021-07-29 | Marriage and love pairing method, device, system and medium based on multidimensional character data |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110870058.1A CN113704634A (en) | 2021-07-29 | 2021-07-29 | Marriage and love pairing method, device, system and medium based on multidimensional character data |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113704634A true CN113704634A (en) | 2021-11-26 |
Family
ID=78650969
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110870058.1A Pending CN113704634A (en) | 2021-07-29 | 2021-07-29 | Marriage and love pairing method, device, system and medium based on multidimensional character data |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113704634A (en) |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107038217A (en) * | 2017-03-15 | 2017-08-11 | 王悕锦 | Love and marriage object matching method and device |
| CN108073659A (en) * | 2016-11-18 | 2018-05-25 | 腾讯科技（深圳）有限公司 | A kind of love and marriage object recommendation method and device |
| CN108776846A (en) * | 2018-05-15 | 2018-11-09 | 中国平安人寿保险股份有限公司 | Recommend method, apparatus, computer equipment and storage medium |
| CN112016001A (en) * | 2020-08-17 | 2020-12-01 | 上海掌门科技有限公司 | Friend recommendation method and device and computer readable medium |
| CN112463856A (en) * | 2020-12-03 | 2021-03-09 | 广州欢派网络科技有限公司 | Character feature analysis method and device based on real-time virtual interaction and terminal equipment |
-
2021
- 2021-07-29 CN CN202110870058.1A patent/CN113704634A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108073659A (en) * | 2016-11-18 | 2018-05-25 | 腾讯科技（深圳）有限公司 | A kind of love and marriage object recommendation method and device |
| CN107038217A (en) * | 2017-03-15 | 2017-08-11 | 王悕锦 | Love and marriage object matching method and device |
| CN108776846A (en) * | 2018-05-15 | 2018-11-09 | 中国平安人寿保险股份有限公司 | Recommend method, apparatus, computer equipment and storage medium |
| CN112016001A (en) * | 2020-08-17 | 2020-12-01 | 上海掌门科技有限公司 | Friend recommendation method and device and computer readable medium |
| CN112463856A (en) * | 2020-12-03 | 2021-03-09 | 广州欢派网络科技有限公司 | Character feature analysis method and device based on real-time virtual interaction and terminal equipment |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109918205B (en) | Edge equipment scheduling method, system, device and computer storage medium | |
| CN109450771B (en) | Method and device for adding friends, computer equipment and storage medium | |
| CN109741755B (en) | Voice awakening word threshold management device and method for managing voice awakening word threshold | |
| US8572019B2 (en) | Reducing the dissimilarity between a first multivariate data set and a second multivariate data set | |
| CN108833458B (en) | Application recommendation method, device, medium and equipment | |
| US11901040B2 (en) | Cross-network genomic data user interface | |
| CN109218390B (en) | User screening method and device | |
| CN109726108B (en) | Front-end code testing method, device, system and medium based on analog data | |
| CN105894028B (en) | User identification method and device | |
| US8725735B2 (en) | Information processing system, information processing method, program, and non-transitory information storage medium | |
| CN109688183B (en) | Group control equipment identification method, device, equipment and computer readable storage medium | |
| CN110264274B (en) | Guest group dividing method, model generating method, device, equipment and storage medium | |
| EP3287973A1 (en) | Method and device for information processing | |
| JP6442807B1 (en) | Dialog server, dialog method and dialog program | |
| CN111931048B (en) | Artificial intelligence-based black product account detection method and related device | |
| CN111192170B (en) | Question pushing method, device, equipment and computer readable storage medium | |
| CN108845955B (en) | Chinese input method test method and device and electronic equipment | |
| CN111159379B (en) | Automatic question setting method, device and system | |
| CN113704634A (en) | Marriage and love pairing method, device, system and medium based on multidimensional character data | |
| CN113891323B (en) | WiFi-based user tag acquisition system | |
| KR101426196B1 (en) | Apparatus and method for analysising performance | |
| CN113704633A (en) | Marriage and love pairing method, device, system and medium based on multidimensional three-view data | |
| KR101580159B1 (en) | Method of setting survey population, server performing the same and storage media storing the same | |
| CN111768124A (en) | Test evaluation method, system, equipment and computer readable storage medium | |
| CN106776857B (en) | Method and device for acquiring weather data and electronic equipment |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |