Intelligent service system for marriage introduction

Abstract

The invention relates to the technical field of artificial intelligence, and particularly discloses an intelligent service system for marriage introduction. Comprising a user matching parameter acquisition module, a user matching degree analysis module, a primary matching recommendation analysis module, a user behavior parameter acquisition module, a user tendency degree analysis module, a matching degree optimization analysis module, a secondary matching recommendation analysis module, an intelligent recommendation execution terminal and a system storage library. According to the method, the tendency degree of each user corresponding to each primary marriage pusher is analyzed, the comprehensive tendency degree corresponding to each user is further analyzed, the target user needing secondary recommendation is judged based on the comprehensive tendency degree, meanwhile, secondary matching degree optimization calculation analysis is performed on each target user, and the matching degree of each target user is optimized. The secondary recommendation is enabled to better meet the current real mind and potential requirements of the user to a certain extent, the effectiveness and pertinence of the recommendation are further improved, the probability that the user finds a suitable marriage object is increased, and the experience and satisfaction of the marriage platform user are improved.

Description

Technical Field

[0001] The present invention relates to the field of artificial intelligence technology, and in particular to an intelligent marriage introduction service system. Background Art

[0002] In today's society, with the accelerated pace of life and the diversification of social methods, the number of single people is showing an upward trend, and the demand for the marriage market is growing. Traditional marriage introduction methods, such as introductions by relatives and friends and matchmaking agencies, often have many limitations. The scope of introductions by relatives and friends is relatively narrow, and it is difficult to provide a large number of diverse matching objects due to the limitations of social circles; although matchmaking agencies have certain resource integration capabilities, the matching process mostly relies on manual experience judgment, which is highly subjective and inefficient, and cannot accurately screen suitable marriage partners for customers based on many complex factors.

[0003] At the same time, the rapid development of Internet technology has profoundly changed people's lives and social patterns, and marriage and dating platforms have emerged. It breaks the limitations of region and social circle, can gather a large number of single user resources, and provide users with a broader space for making friends. However, most marriage and dating platforms simply provide user information display and basic search and screening functions, and there are still major deficiencies in matching accuracy, personalized recommendations and intelligent service levels. When faced with a large amount of information about the opposite sex, users often find it difficult to quickly and effectively find someone who really fits them, resulting in a low matching success rate and poor user experience.

[0004] In order to solve the above defects, a technical solution is now provided. Summary of the invention

[0005] The object of the present invention is to provide a marriage introduction intelligent service system to solve the problems raised in the above background.

[0006] The purpose of the present invention can be achieved through the following technical solutions: A marriage introduction intelligent service system, comprising:

[0007] The user matching parameter acquisition module is used to obtain the matching parameters of each user for users of the opposite sex on the marriage and dating platform in multiple dimensions, and obtain the matching parameters of each user for users of the opposite sex in multiple dimensions.

[0008] As a further improvement of the present invention, the matching parameters of each user for each user of the opposite sex on the dating platform in multiple dimensions are obtained, and the specific acquisition process is as follows:

[0009] Collect the personal information matching parameters of each user on the dating platform:

[0010] The age difference between each user and each user of the opposite sex on the dating platform is obtained, and the age difference between each user and each user of the opposite sex on the dating platform is obtained, and the age difference is matched with each age difference corresponding to each set age matching level, and the age matching level of each user to each user of the opposite sex on the dating platform is obtained as the age matching level of each user to each user of the opposite sex;

[0011] The educational level of each user and each user of the opposite sex on the dating platform is obtained to obtain the educational level of each user and each user of the opposite sex on the dating platform. If a user has the same educational level as a user of the opposite sex on the dating platform, the educational level matching degree between the user and the user of the opposite sex on the dating platform is assigned a value of O1. If a user has different educational levels from a user of the opposite sex on the dating platform, the educational level grade of the user and the educational level grade of the user of the opposite sex are obtained and the difference is calculated to obtain the grade difference between the educational level of the user and the educational level of the user of the opposite sex on the dating platform, and the grade differences corresponding to the matching degrees of each educational level are matched to obtain the educational level matching degree between the user and the user of the opposite sex on the dating platform.

[0012] The occupational status of each user and the users of different sexes in the dating platform is obtained, and the occupational status of each user and the users of different sexes in the dating platform is obtained, wherein the occupational status includes: occupational stability level, occupational mobility level and occupational development prospect level. The occupational stability level includes three levels: high stability, medium stability and low stability, and they are assigned as X1, X2 and X3 respectively. The occupational mobility level includes three levels: high mobility, medium mobility and low mobility, and they are assigned as Y1, Y2 and Y3 respectively. The occupational development prospect level includes three levels: high, medium and low, and they are assigned as Z1, Z2 and Z3 respectively.

[0013] The occupational stability level, occupational mobility level and occupational development prospect level of each user and the opposite sex users on the dating platform are calculated by difference, and the occupational stability level deviation, occupational mobility level deviation and occupational development prospect level deviation of each user to the opposite sex users on the dating platform are obtained. Through comprehensive analysis, the occupational similarity coefficient between each user and the opposite sex users on the dating platform is obtained.

[0014] The family background information of each user and each user of the opposite sex on the dating platform is obtained, and the family background information of each user and each user of the opposite sex on the dating platform is obtained, wherein the family background information includes: family economic status and family cultural atmosphere;

[0015] If the family economic status of a user is similar to that of a user of the opposite sex on the dating platform, the matching value of the family economic status of the user and the user of the opposite sex on the dating platform is assigned to T1; if the family economic status of a user is not similar to that of a user of the opposite sex on the dating platform, the matching value of the family economic status of the user and the user of the opposite sex on the dating platform is assigned to T2, thereby obtaining the matching value of the family economic status of each user and each user of the opposite sex on the dating platform;

[0016] Similarly, the family culture atmosphere matching value of each user and the users of the opposite sex on the dating platform is obtained by analyzing, and the family economic status matching value and family culture atmosphere matching value of each user and the users of the opposite sex on the dating platform are accumulated and calculated to obtain the family background matching value of each user and the users of the opposite sex on the dating platform;

[0017] Obtaining the interests and hobbies of each user and the opposite-sex users on the dating platform, obtaining the interests and hobbies of each user and the opposite-sex users on the dating platform, and comparing the overlap of the interests and hobbies of each user with the opposite-sex users on the dating platform. When a user has an interest and hobby that overlaps with a user of the opposite sex on the dating platform, the interest and hobby is marked as the overlapped interest and hobby item of the user and the user of the opposite sex on the dating platform, thereby obtaining the number of overlapped interests and hobbies of each user and the opposite-sex users on the dating platform;

[0018] Collect the lifestyle matching parameters of each user with users of different sexes on the dating platform:

[0019] Obtain the work and rest time, consumption concept, and exercise and fitness habits of each user and the users of different sexes on the dating platform, and obtain the work and rest time, consumption concept, and exercise and fitness habits of each user and the users of different sexes on the dating platform. The work and rest time includes the time of getting up and the time of going to bed, the consumption concept includes thrifty, moderate, and luxurious, and the exercise and fitness habits include exercise frequency and main sports;

[0020] Extract the wake-up time and bedtime of each user and the users of the opposite sex on the dating platform, and calculate the absolute value of the difference between them to obtain the wake-up time interval difference and bedtime time interval difference between each user and the users of the opposite sex on the dating platform, and match them with the wake-up time interval difference and bedtime time interval difference corresponding to the set wake-up time interval interval and bedtime time interval interval to obtain the wake-up time interval interval and bedtime time interval interval between each user and the users of the opposite sex on the dating platform;

[0021] Match the wake-up time interval and the sleep time interval of each user with the users of the opposite sex on the dating platform with the wake-up time interval and the sleep time interval corresponding to the set work and rest rules, and obtain the work and rest rules matching degree of each user with the users of the opposite sex on the dating platform;

[0022] Extract the consumption concepts of each user and the users of different sexes on the dating platform, and mark the thrifty, moderate and extravagant types as corresponding scores 1, 2 and 3 respectively, and calculate the absolute value of the difference between them to obtain the consumption concept difference between each user and the users of different sexes on the dating platform, and match it with the consumption concept difference corresponding to the set consumption concept matching degree to obtain the consumption concept matching degree between each user and the users of different sexes on the dating platform;

[0023] Extract the exercise frequency and main exercise items of each user and users of the opposite sex on the dating platform, and match them with the exercise frequency and main exercise items of each user and users of the opposite sex on the dating platform corresponding to the set exercise habit matching degree, and obtain the exercise habit matching degree of each user and users of the opposite sex on the dating platform;

[0024] Collect the personality matching parameters of each user for users of the opposite sex on the dating platform:

[0025] Conduct personality dimension tests on each user and users of the opposite sex on the dating platform to obtain the personality dimension test results of each user and users of the opposite sex on the dating platform. The personality dimension test includes: extraversion (E), neuroticism (N), openness (O), agreeableness (A) and conscientiousness (C);

[0026] The five-dimensional personality test scores of each user and the opposite-sex users on the marriage and dating platform are extracted from the personality dimension test results of each user and the opposite-sex users on the marriage and dating platform, and the absolute value of the difference in each dimension score of each user and the opposite-sex users on the marriage and dating platform is calculated. The difference value of extraversion, neuroticism, openness, agreeableness and conscientiousness between each user and the opposite-sex users on the marriage and dating platform are obtained statistically, and the personality matching parameters of each user corresponding to the opposite-sex users are constructed.

[0027] Collect the matching parameters of each user's marriage and love views with users of the opposite sex on the marriage and love platform:

[0028] The marriage expectation concepts, fertility intention concepts and love rhythm concepts of each user and the opposite sex users on the marriage and dating platform are obtained, and the marriage expectation concepts, fertility intention concepts and love rhythm concepts of each user and the opposite sex users on the marriage and dating platform are obtained, wherein the marriage expectation concepts include but are not limited to: marriage life model and family responsibility sharing;

[0029] If a user's marriage expectations match those of a user of the opposite sex on the marriage and dating platform, the compatibility of the user's marriage expectations with the user of the opposite sex on the marriage and dating platform is assigned as P1; if a user's marriage expectations do not match those of a user of the opposite sex on the marriage and dating platform, the compatibility of the user's marriage expectations with the user of the opposite sex on the marriage and dating platform is assigned as P2, thereby obtaining the compatibility of each user's marriage expectations with each user of the opposite sex on the marriage and dating platform;

[0030] By the same analysis, we can find the compatibility of each user's concept of fertility intention and concept of love rhythm with users of different sexes on the marriage and dating platform.

[0031] The user matching degree analysis module is used to analyze the matching degree of each user to users of different sexes based on the matching parameters of each user to users of different sexes in multiple dimensions to obtain the matching degree of each user to users of different sexes.

[0032] As a further improvement of the present invention, the matching degree of each user to users of different sexes is analyzed based on the matching parameters of each user to users of different sexes in multiple dimensions. The specific analysis method is as follows:

[0033] From the personal information matching parameters of each user corresponding to the opposite sex users, the age matching level, educational level matching degree, occupation similarity coefficient, family background matching value and interest and hobby overlap items of each user and the opposite sex users on the dating platform are extracted and marked as i represents the number of each user, i = 1, 2, ...., m, m represents the total number of user numbers, j represents the number of users of different sexes, j = 1, 2, ...., n, n represents the total number of users of different sexes, according to the formula Calculate the basic information matching degree between each user and users of the opposite sex on the dating platform b1, b2, b3, b4, and b5 represent the set weight factors respectively;

[0034] From the lifestyle matching parameters of each user corresponding to the users of the opposite sex, the matching degree of work and rest rules, consumption concept and exercise habits of each user and the users of the opposite sex on the dating platform are extracted and marked as

[0035] According to the formula Calculate the lifestyle matching degree between each user and users of the opposite sex on the dating platform b6, b7, and b8 represent the set impact factors respectively;

[0036] From the personality matching parameters of each user corresponding to the users of the opposite sex, the difference values ​​of extraversion, neuroticism, openness, agreeableness and conscientiousness between each user and the users of the opposite sex on the dating platform are extracted and marked as According to the formula Calculate the personality matching degree of each user to users of different genders They are respectively represented by the maximum scores of the personality test of the extraversion dimension, the neuroticism dimension, the openness dimension, the agreeableness dimension and the conscientiousness dimension, b9, b10, b11, b12 and b13 are respectively represented by the set weight factors;

[0037] From the matching parameters of marriage and love views of each user corresponding to the opposite sex users, the compatibility of marriage expectation concept, fertility intention concept and love rhythm concept of each user with the opposite sex users on the marriage and love platform are extracted, and they are marked as According to the formula Calculate the matching degree of each user's marriage and love views with users of the opposite sex b14, b15, and b16 represent the set weight factors respectively;

[0038] According to the formula Calculate the comprehensive matching degree of each user to users of different genders c1, c1, c3, and c4 represent the set weight factors respectively.

[0039] The initial matching recommendation analysis module is used to analyze the comprehensive matching degree of each user with users of different sexes to obtain the initial recommendation parameters corresponding to each user.

[0040] As a further improvement of the present invention, an analysis is performed based on the comprehensive matching degree of each user to users of different sexes. The specific analysis method is as follows:

[0041] Compare and analyze the comprehensive matching degree of each user corresponding to each opposite-sex user with the set reference comprehensive matching degree threshold. When the comprehensive matching degree of a user of the opposite sex is greater than the set reference comprehensive matching degree threshold, the user of the opposite sex is recorded as the first love and marriage push user of the user, thereby obtaining the first love and marriage push users corresponding to each user;

[0042] The comprehensive matching degrees of the first love and marriage push users corresponding to each user are sorted in descending order to obtain the comprehensive matching degree ranking of the first love and marriage push users corresponding to each user;

[0043] The first-time love and marriage push users corresponding to each user and the matching degree ranking order of each first-time love and marriage push users corresponding to each user constitute the first-time recommendation parameters corresponding to each user.

[0044] The user behavior parameter acquisition module is used to acquire the behavior parameters of each user for each first-time marriage and love push user in the marriage and love platform, and obtain the behavior parameters of each user corresponding to each first-time marriage and love push user.

[0045] As a further solution of the present invention, the behavior parameters of each user to each first-time dating push user in the dating platform are obtained, and the specific acquisition process is as follows:

[0046] The number of times each user browses the user profile of each first-time dating push user on the dating platform, the duration of each browsing, the number of private messages sent, the duration between each private message sent, and the speed of replying to each private message sent are obtained, and the number of times each user browses the user profile of each first-time dating push user, the duration of each browsing, the number of private messages sent, the duration between each private message sent, and the speed of replying to each private message sent are obtained;

[0047] The attention status of each user to each first-time marriage and love push user in the marriage and love platform (such as whether to add special attention) is obtained. If the attention status of a user to a first-time marriage and love push user in the marriage and love platform is not followed, step A1 is executed; if the attention status of a user to a first-time marriage and love push user in the marriage and love platform is followed, step A2 is executed;

[0048] A1: extract the influence factor corresponding to the unfollowed status stored in the system repository as the influence factor of the user's attention status to the first-time love and marriage push user in the love and marriage platform, and execute step A3;

[0049] A2: Obtain the time point when the user starts paying attention to the first marriage and love push user in the marriage and love platform, and collect the current acquisition time point, subtract the time point when the user starts paying attention to the first marriage and love push user in the marriage and love platform from the current acquisition time point to obtain the user's attention duration to the first marriage and love push user in the marriage and love platform, match it with the set attention duration threshold corresponding to each attention level to obtain the user's attention level to the first marriage and love push user in the marriage and love platform, match the user's attention level to the first marriage and love push user in the marriage and love platform with the set influence factors corresponding to each attention level to obtain the user's influence factor to the first marriage and love push user in the marriage and love platform as the user's attention status influence factor to the first marriage and love push user in the marriage and love platform, and execute step A3;

[0050] A3: The following statistical factors are used to obtain the attention status influence factors of each user to each first-time dating and marriage push user on the dating and marriage platform, and used as the attention status influence factors of each user to each first-time dating and marriage push user;

[0051] The behavioral parameters of each user corresponding to each first-time love and marriage push user are composed of the number of user profile browsing times, the duration of each browsing time, the number of private messages sent, the interval between each private message sending, the reply speed of each private message sent, and the influence factor of the attention status.

[0052] The user tendency analysis module is used to analyze the tendency of each user corresponding to each first-time love and marriage push user based on the behavioral parameters of each user corresponding to each first-time love and marriage push user, and obtain the tendency of each user corresponding to each first-time love and marriage push user.

[0053] As a further improvement of the present invention, the tendency of each user to each first-time love and marriage push user is analyzed based on the behavior parameters of each user corresponding to each first-time love and marriage push user. The specific analysis method is as follows:

[0054] From the behavioral parameters of each user corresponding to each first-time love and marriage push user, the number of views, the duration of each view, the number of private messages sent, the interval between each private message sent, the speed of replying to each private message sent, and the influence factor of the attention status of each user corresponding to each first-time love and marriage push user are extracted and recorded as f represents the ID of each first-time love and marriage push user, f=1,2,....g, g represents the total number of first-time love and marriage push user IDs, k represents the number of each browsing, k=1,2,....l, l represents the total number of browsing times, p represents the number of each private message sent, p=1,2,....v, v represents the total number of private message sent;

[0055] Compare the browsing time of each user corresponding to each first-time marriage and love push user with the set reference browsing time. If a browsing time is longer than the set reference browsing time, then record this browsing as valid browsing. At the same time, count the number of valid browsing times of each user corresponding to each first-time marriage and love push user, recorded as

[0056]

[0057] According to the formula Calculate the browsing evaluation index of each user corresponding to each first-time marriage and love push user ln' and lt' represent the set reference browsing times and reference browsing duration respectively, and d1, d2, and d3 represent the set weight factors respectively;

[0058] According to the formula Calculate the favorability evaluation index of each user corresponding to each first-time marriage and love push user fsn', fst', fsv' respectively represent the set reference number of private message sending, reference private message sending interval and reference private message reply speed, and d4, d5, d6 respectively represent the set weight factors;

[0059] According to the formula Calculate the inclination of each user to each first-time love and marriage push user e1 and e2 represent the set weight factors respectively.

[0060] The secondary matching degree analysis module is used to analyze the secondary comprehensive matching degree of each target user corresponding to each user of the opposite sex based on the tendency of each user corresponding to each first marriage and love push user, and obtain the secondary comprehensive matching degree of each target user corresponding to each user of the opposite sex.

[0061] As a further improvement of the present invention, the secondary comprehensive matching degree of each target user to each user of the opposite sex is analyzed based on the tendency of each user to each first marriage and love push user. The specific analysis method is as follows:

[0062] Accumulate the inclinations of each user corresponding to each first marriage and love push user to obtain the comprehensive inclination corresponding to each user, and compare and analyze the comprehensive inclination corresponding to each user with the set reference comprehensive inclination. If the comprehensive inclination corresponding to a user is less than the set reference comprehensive inclination, it is determined that the user needs to undergo a secondary matching analysis, and thus the users who need to undergo a secondary matching analysis are obtained statistically as target users.

[0063] Obtain the attention degree of each target user corresponding to each matching dimension, obtain the attention degree of each target user corresponding to each matching dimension, and based on the attention degree of each target user corresponding to each matching dimension, match the attention degree of each matching dimension with the attention degree of each matching dimension corresponding to the set weight factor adjustment parameter of each matching dimension, and obtain the weight factor adjustment parameter of each target user corresponding to each matching dimension;

[0064] Based on the weight factor adjustment parameters of each target user corresponding to each matching dimension, the matching degree of each target user corresponding to users of different sexes is calculated according to the same execution steps of the user matching parameter acquisition module and the user matching degree analysis module, and the matching degree of each target user corresponding to users of different sexes is obtained as the secondary comprehensive matching degree of each target user corresponding to users of different sexes.

[0065] The secondary matching recommendation analysis module is used to analyze the secondary comprehensive matching degree of each target user to users of different genders to obtain the secondary recommendation parameters corresponding to each target user.

[0066] As a further improvement of the present invention, an analysis is performed based on the secondary comprehensive matching degree of each target user to users of different sexes. The specific analysis method is as follows:

[0067] Compare and analyze the secondary comprehensive matching degree of each target user corresponding to each user of the opposite sex with the set reference secondary comprehensive matching degree threshold. When the secondary comprehensive matching degree of a user of the opposite sex is greater than the set reference secondary comprehensive matching degree threshold, the user of the opposite sex is recorded as the secondary love and marriage push user of the user, thereby obtaining the statistics of the secondary love and marriage push users corresponding to each target user;

[0068] Compare the overlaps of the secondary love and marriage push users corresponding to each target user with the initial love and marriage push users corresponding to each target user and remove the overlapping love and marriage push users, thereby obtaining the non-overlapping love and marriage push users corresponding to each target user as the marked love and marriage push users corresponding to each target user;

[0069] The secondary comprehensive matching degrees of the marked love and marriage push users corresponding to the target users are sorted in descending order to obtain the secondary comprehensive matching degree ranking of the marked love and marriage push users corresponding to the target users;

[0070] The secondary recommendation parameters corresponding to each target user are formed by the ranking order of the secondary comprehensive matching degrees of each marked love and marriage push user corresponding to each target user and each marked love and marriage push user corresponding to each target user.

[0071] The intelligent recommendation execution terminal executes corresponding recommendation operations based on the primary recommendation parameters corresponding to each user and the secondary recommendation parameters corresponding to each target user.

[0072] The system repository is used to store the impact factors corresponding to the unattended status.

[0073] Beneficial effects of the present invention:

[0074] The present invention analyzes the comprehensive matching degree of each user with respect to users of the opposite sex through multi-dimensional matching parameters, which can comprehensively and meticulously characterize the compatibility between users, avoid the one-sidedness of single factor judgment, greatly improve the accuracy of matching, and facilitate the subsequent provision of personalized marriage introduction recommendation services for each user. It can not only intuitively understand the matching degree of each user with respect to users of the opposite sex, but also to a large extent provide strong data support for the initial recommendation parameters corresponding to each user in the subsequent marriage and love platform.

[0075] The present invention analyzes the tendency of each user corresponding to each initial love and marriage recommender, and then analyzes the comprehensive tendency corresponding to each user, and based on this, determines the target users who need to be recommended for a second time, and at the same time performs a secondary matching degree optimization calculation and analysis on each target user, so that the secondary recommendation is more in line with the user's current true intentions and potential needs to a certain extent, further improves the effectiveness and pertinence of the recommendation, increases the probability of users finding suitable love and marriage partners, and improves the experience and satisfaction of users of the love and marriage platform. BRIEF DESCRIPTION OF THE DRAWINGS

[0076] The present invention will be further described below in conjunction with the accompanying drawings.

[0077] Figure 1 It is a system block diagram of the present invention.

[0078] Figure 2 It is a method flow chart of the user matching parameter acquisition module of the present invention.

[0079] Figure 3 It is a method flow chart of the user matching degree analysis module of the present invention. DETAILED DESCRIPTION

[0080] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0081] See also Figure 1-3 As shown, the present invention is a marriage introduction intelligent service system, comprising:

[0082] The user matching parameter acquisition module is used to obtain the matching parameters of each user for each user of the opposite sex on the dating platform in multiple dimensions. The specific acquisition process is as follows:

[0083] Collect the personal information matching parameters of each user on the dating platform:

[0084] The age difference between each user and each user of the opposite sex on the dating platform is obtained, and the age difference between each user and each user of the opposite sex on the dating platform is obtained, and the age difference is matched with each age difference corresponding to each set age matching level, and the age matching level of each user to each user of the opposite sex on the dating platform is obtained as the age matching level of each user to each user of the opposite sex;

[0085] The educational level of each user and each user of the opposite sex on the dating platform is obtained to obtain the educational level of each user and each user of the opposite sex on the dating platform. If a user has the same educational level as a user of the opposite sex on the dating platform, the educational level matching degree between the user and the user of the opposite sex on the dating platform is assigned as O1. If a user has different educational levels from a user of the opposite sex on the dating platform, the educational level grade of the user and the educational level grade of the user of the opposite sex are obtained and the difference is calculated to obtain the grade difference between the educational level of the user and the educational level of the user of the opposite sex on the dating platform, and the grade differences corresponding to the matching degrees of each educational level are matched to obtain the educational level matching degree between the user and the user of the opposite sex on the dating platform. The specific value of O1 is set by those skilled in the art in specific cases.

[0086] Among them, the educational level includes the following levels: primary school education, junior high school education, senior high school education, junior college education, bachelor's degree, master's degree, doctoral degree, and they are marked as first-level educational level, second-level educational level, third-level educational level, fourth-level educational level, fifth-level educational level, and sixth-level educational level respectively;

[0087] The occupational situation of each user and the users of different sexes in the dating platform is obtained to obtain the occupational situation of each user and the users of different sexes in the dating platform, wherein the occupational situation includes: occupational stability level, occupational mobility level and occupational development prospect level, the occupational stability level includes three levels of high stability, medium stability and low stability, and they are assigned as X1, X2 and X3 respectively, the occupational mobility level includes three levels of high mobility, medium mobility and low mobility, and they are assigned as Y1, Y2 and Y3 respectively, the occupational development prospect level includes three levels of high, medium and low, and they are assigned as Z1, Z2 and Z3 respectively; wherein X1>X2>X3, Y1>Y2>Y3, Z1>Z2>Z3, and the specific values ​​of X1, X2, X3 and Y1, Y2, Y3 and Z1, Z2 and Z3 are set by those skilled in the art in specific cases;

[0088] The career stability level, career mobility level and career development prospect level of each user are calculated by subtracting them from those of the opposite sex users on the dating platform, and the career stability level deviation, career mobility level deviation and career development prospect level deviation of each user are obtained, and they are marked as According to the formula Calculate the coefficient of similarity between each user and the users of different sexes on the dating platform i , a1, a2, and a3 represent the set impact factors respectively;

[0089] The family background information of each user and each user of the opposite sex on the dating platform is obtained, and the family background information of each user and each user of the opposite sex on the dating platform is obtained, wherein the family background information includes: family economic status and family cultural atmosphere;

[0090] If the family economic status of a certain user is similar to that of a certain user of the opposite sex on the dating platform, the matching value of the family economic status of the user and the user of the opposite sex on the dating platform is assigned to T1; if the family economic status of a certain user is not similar to that of a certain user of the opposite sex on the dating platform, the matching value of the family economic status of the user and the user of the opposite sex on the dating platform is assigned to T2, wherein T1>T2, and the specific values ​​of T1 and T2 are set by those skilled in the art in specific cases;

[0091] If the family culture atmosphere of a user is similar to that of a user of the opposite sex on the dating platform, the family culture atmosphere matching value between the user and the user of the opposite sex on the dating platform is assigned to T1; if the family culture atmosphere of a user is not similar to that of a user of the opposite sex on the dating platform, the family culture atmosphere matching value between the user and the user of the opposite sex on the dating platform is assigned to T2;

[0092] Accumulate the family economic status matching value and family cultural atmosphere matching value of the user and the opposite sex user on the dating platform to obtain the family background matching value of the user and the opposite sex user on the dating platform, and thereby obtain the family background matching value of each user and each opposite sex user on the dating platform;

[0093] The interests and hobbies of each user and users of the opposite sex on the dating platform are obtained, and the interests and hobbies of each user and users of the opposite sex on the dating platform are compared and overlapped. When a certain interest and hobby of a user overlaps with a user of the opposite sex on the dating platform, the interest and hobby is marked as the overlapping interest and hobby item of the user and the user of the opposite sex on the dating platform, thereby obtaining the number of overlapping interests and hobbies of each user and users of the opposite sex on the dating platform.

[0094] Collect the lifestyle matching parameters of each user with users of different sexes on the dating platform:

[0095] Obtain the work and rest time, consumption concept, and exercise and fitness habits of each user and the users of different sexes on the dating platform, and obtain the work and rest time, consumption concept, and exercise and fitness habits of each user and the users of different sexes on the dating platform. The work and rest time includes the time of getting up and the time of going to bed, the consumption concept includes thrifty, moderate, and luxurious, and the exercise and fitness habits include exercise frequency and main sports;

[0096] Extract the wake-up time and bedtime of each user and the users of the opposite sex on the dating platform, and calculate the absolute value of the difference between them to obtain the wake-up time interval difference and bedtime time interval difference between each user and the users of the opposite sex on the dating platform, and match them with the wake-up time interval difference and bedtime time interval difference corresponding to the set wake-up time interval interval and bedtime time interval interval to obtain the wake-up time interval interval and bedtime time interval interval between each user and the users of the opposite sex on the dating platform;

[0097] Match the wake-up time interval and the sleep time interval of each user with the users of the opposite sex on the dating platform with the wake-up time interval and the sleep time interval corresponding to the set work and rest rules, and obtain the work and rest rules matching degree of each user with the users of the opposite sex on the dating platform;

[0098] Extract the consumption concepts of each user and the users of different sexes on the dating platform, and mark the thrifty, moderate and extravagant types as corresponding scores 1, 2 and 3 respectively, and calculate the absolute value of the difference between them to obtain the consumption concept difference between each user and the users of different sexes on the dating platform, and match it with the consumption concept difference corresponding to the set consumption concept matching degree to obtain the consumption concept matching degree between each user and the users of different sexes on the dating platform;

[0099] The exercise frequency and main sports items of each user and users of the opposite sex on the dating platform are extracted, and matched with the exercise frequency and main sports items of each user and users of the opposite sex on the dating platform corresponding to the set matching degrees of each exercise habit, to obtain the matching degree of exercise habits of each user and users of the opposite sex on the dating platform.

[0100] Collect the personality matching parameters of each user for users of the opposite sex on the dating platform:

[0101] Conduct personality dimension tests on each user and users of the opposite sex on the dating platform to obtain the personality dimension test results of each user and users of the opposite sex on the dating platform. The personality dimension test includes: extraversion (E), neuroticism (N), openness (O), agreeableness (A) and conscientiousness (C);

[0102] The five-dimensional personality test scores of each user and the opposite-sex users on the marriage and dating platform are extracted from the personality dimension test results of each user and the opposite-sex users on the marriage and dating platform, and the absolute value of the difference in each dimension score of each user and the opposite-sex users on the marriage and dating platform is calculated. The difference value of extraversion, neuroticism, openness, agreeableness and conscientiousness between each user and the opposite-sex users on the marriage and dating platform are obtained statistically, and the personality matching parameters of each user corresponding to the opposite-sex users are constructed.

[0103] Collect the matching parameters of each user's marriage and love views with users of the opposite sex on the marriage and love platform:

[0104] The marriage expectation concepts, fertility intention concepts and love rhythm concepts of each user and the opposite sex users on the marriage and love platform are obtained, and the marriage expectation concepts, fertility intention concepts and love rhythm concepts of each user and the opposite sex users on the marriage and love platform are obtained. Among them, the marriage expectation concepts include: marriage life model and family responsibility sharing;

[0105] If the marriage expectation concept of a certain user is consistent with that of a certain user of the opposite sex on the marriage and dating platform, the compatibility value of the marriage expectation concept of the user and the user of the opposite sex on the marriage and dating platform is assigned as P1; if the marriage expectation concept of a certain user is inconsistent with that of a certain user of the opposite sex on the marriage and dating platform, the compatibility value of the marriage expectation concept of the user and the user of the opposite sex on the marriage and dating platform is assigned as P2; wherein P1>P2, and the specific values ​​of P1 and P2 are set by those skilled in the art in specific cases;

[0106] If a user's fertility intention concept is consistent with that of a user of the opposite sex on the dating platform, the compatibility value of the fertility intention concept of the user and the user of the opposite sex on the dating platform is assigned to P1; if a user's fertility intention concept is inconsistent with that of a user of the opposite sex on the dating platform, the compatibility value of the fertility intention concept of the user and the user of the opposite sex on the dating platform is assigned to P2;

[0107] If a user's love rhythm concept matches that of a user of the opposite sex on the dating platform, the compatibility value of the love rhythm concept between the user and the user of the opposite sex on the dating platform is assigned as P1; if a user's love rhythm concept does not match that of a user of the opposite sex on the dating platform, the compatibility value of the love rhythm concept between the user and the user of the opposite sex on the dating platform is assigned as P2;

[0108] From this statistics, we can obtain the compatibility of each user's marriage expectation ideas, fertility intention ideas and love rhythm ideas with users of the opposite sex on the marriage and love platform, and form the matching parameters of each user's marriage and love views with users of the opposite sex.

[0109] The user matching degree analysis module is used to analyze the matching degree of each user to users of different sexes based on the matching parameters of each user to users of different sexes in multiple dimensions. The specific analysis method is as follows:

[0110] From the personal information matching parameters of each user corresponding to the opposite sex users, the age matching level, educational level matching degree, occupation similarity coefficient, family background matching value and interest and hobby overlap items of each user and the opposite sex users on the dating platform are extracted and marked as i represents the number of each user, i = 1, 2, ...., m, m represents the total number of user numbers, j represents the number of users of different sexes, j = 1, 2, ...., n, n represents the total number of users of different sexes, according to the formula Calculate the basic information matching degree between each user and users of the opposite sex on the dating platform b1, b2, b3, b4, and b5 represent the set weight factors respectively;

[0111] From the lifestyle matching parameters of each user corresponding to the users of the opposite sex, the matching degree of work and rest rules, consumption concept and exercise habits of each user and the users of the opposite sex on the dating platform are extracted and marked as

[0112] According to the formula Calculate the lifestyle matching degree between each user and users of the opposite sex on the dating platform b6, b7, and b8 represent the set impact factors respectively;

[0113] From the personality matching parameters of each user corresponding to the users of the opposite sex, the difference values ​​of extraversion, neuroticism, openness, agreeableness and conscientiousness between each user and the users of the opposite sex on the dating platform are extracted and marked as According to the formula Calculate the personality matching degree of each user to users of different genders They are respectively represented by the maximum scores of the personality test of the extraversion dimension, the neuroticism dimension, the openness dimension, the agreeableness dimension and the conscientiousness dimension, b8, b9, b10, b11, b12 and b13 are respectively represented by the set weight factors;

[0114] From the matching parameters of marriage and love views of each user corresponding to the opposite sex users, the compatibility of marriage expectation concept, fertility intention concept and love rhythm concept of each user with the opposite sex users on the marriage and love platform are extracted, and they are marked as According to the formula Calculate the matching degree of each user's marriage and love views with users of the opposite sex b14, b15, and b16 represent the set weight factors respectively;

[0115] According to the formula Calculate the comprehensive matching degree of each user to users of different genders c1, c1, c3, and c4 represent the set weight factors respectively.

[0116] The first match recommendation analysis module is used to analyze the comprehensive matching degree of each user to users of different sexes. The specific analysis method is as follows:

[0117] Compare and analyze the comprehensive matching degree of each user corresponding to each opposite-sex user with the set reference comprehensive matching degree threshold. When the comprehensive matching degree of a user of the opposite sex is greater than the set reference comprehensive matching degree threshold, the user of the opposite sex is recorded as the first love and marriage push user of the user, thereby obtaining the first love and marriage push users corresponding to each user;

[0118] The comprehensive matching degrees of the first love and marriage push users corresponding to each user are sorted in descending order to obtain the comprehensive matching degree ranking of the first love and marriage push users corresponding to each user;

[0119] The first-time love and marriage push users corresponding to each user and the matching degree ranking order of each first-time love and marriage push users corresponding to each user constitute the first-time recommendation parameters corresponding to each user.

[0120] The user behavior parameter acquisition module is used to obtain the behavior parameters of each user for each first-time marriage and dating push user on the marriage and dating platform. The specific acquisition process is as follows:

[0121] The number of times each user browses the user profile of each first-time dating push user on the dating platform, the duration of each browsing, the number of private messages sent, the duration between each private message sent, and the speed of replying to each private message sent are obtained, and the number of times each user browses the user profile of each first-time dating push user, the duration of each browsing, the number of private messages sent, the duration between each private message sent, and the speed of replying to each private message sent are obtained;

[0122] The attention status of each user to each first-time marriage and love push user in the marriage and love platform (such as whether to add special attention) is obtained. If the attention status of a user to a first-time marriage and love push user in the marriage and love platform is not followed, step A1 is executed; if the attention status of a user to a first-time marriage and love push user in the marriage and love platform is followed, step A2 is executed;

[0123] A1: extract the influence factor corresponding to the unfollowed status stored in the system repository as the influence factor of the user's attention status to the first-time love and marriage push user in the love and marriage platform, and execute step A3;

[0124] A2: Obtain the time point when the user starts paying attention to the first marriage and love push user in the marriage and love platform, and collect the current acquisition time point, subtract the time point when the user starts paying attention to the first marriage and love push user in the marriage and love platform from the current acquisition time point to obtain the user's attention duration to the first marriage and love push user in the marriage and love platform, match it with the set attention duration threshold corresponding to each attention level to obtain the user's attention level to the first marriage and love push user in the marriage and love platform, match the user's attention level to the first marriage and love push user in the marriage and love platform with the set influence factors corresponding to each attention level to obtain the user's influence factor to the first marriage and love push user in the marriage and love platform as the user's attention status influence factor to the first marriage and love push user in the marriage and love platform, and execute step A3;

[0125] A3: The following statistical factors are used to obtain the attention status influence factors of each user to each first-time dating and marriage push user on the dating and marriage platform, and used as the attention status influence factors of each user to each first-time dating and marriage push user;

[0126] The behavioral parameters of each user corresponding to each first-time love and marriage push user are composed of the number of user profile browsing times, the duration of each browsing time, the number of private messages sent, the interval between each private message sending, the reply speed of each private message sent, and the influence factor of the attention status.

[0127] The user tendency analysis module is used to analyze the tendency of each user to each first-time love and marriage push user based on the behavior parameters of each user to each first-time love and marriage push user. The specific analysis method is as follows:

[0128] From the behavioral parameters of each user corresponding to each first-time love and marriage push user, the number of views, the duration of each view, the number of private messages sent, the interval between each private message sent, the speed of replying to each private message sent, and the influence factor of the attention status of each user corresponding to each first-time love and marriage push user are extracted and recorded as f represents the ID of each first-time love and marriage push user, f=1,2,....g, g represents the total number of first-time love and marriage push user IDs, k represents the number of each browsing, k=1,2,....l, l represents the total number of browsing times, p represents the number of each private message sent, p=1,2,....v, v represents the total number of private message sent;

[0129] Compare the browsing time of each user corresponding to each first-time marriage and love push user with the set reference browsing time. If a browsing time is longer than the set reference browsing time, then record this browsing as valid browsing. At the same time, count the number of valid browsing times of each user corresponding to each first-time marriage and love push user, recorded as

[0130]

[0131] According to the formula Calculate the browsing evaluation index of each user corresponding to each first-time marriage and love push user ln' and lt' respectively represent the reference browsing times and reference browsing durations of the users corresponding to the first marriage and love push notification users stored in the system storage, and d1, d2, and d3 respectively represent the set weight factors;

[0132] According to the formula Calculate the favorability evaluation index of each user corresponding to each first-time marriage and love push user fsn', fst', fsv' respectively represent the set reference number of private message sending, reference private message sending interval and reference private message reply speed, and d4, d5, d6 respectively represent the set weight factors;

[0133] According to the formula Calculate the inclination of each user to each first-time love and marriage push user e1 and e2 represent the set weight factors respectively.

[0134] The secondary matching degree analysis module is used to analyze the secondary comprehensive matching degree of each target user to each user of the opposite sex based on the tendency of each user to each first marriage and love push user. The specific analysis method is as follows:

[0135] Accumulate the inclinations of each user corresponding to each first marriage and love push user to obtain the comprehensive inclination corresponding to each user, and compare and analyze the comprehensive inclination corresponding to each user with the set reference comprehensive inclination. If the comprehensive inclination corresponding to a user is less than the set reference comprehensive inclination, it is determined that the user needs to undergo a secondary matching analysis, and thus the users who need to undergo a secondary matching analysis are obtained statistically as target users.

[0136] Obtain the attention degree of each target user corresponding to each matching dimension, obtain the attention degree of each target user corresponding to each matching dimension, and based on the attention degree of each target user corresponding to each matching dimension, match the attention degree of each matching dimension with the attention degree of each matching dimension corresponding to the set weight factor adjustment parameter of each matching dimension, and obtain the weight factor adjustment parameter of each target user corresponding to each matching dimension;

[0137] It should be noted that the various matching dimensions include: personal information matching dimension, lifestyle matching dimension, personality matching dimension, and marriage and love view matching dimension;

[0138] Based on the weight factor adjustment parameters of each target user corresponding to each matching dimension, the matching degree of each target user corresponding to users of different sexes is calculated according to the same execution steps of the user matching parameter acquisition module and the user matching degree analysis module, and the matching degree of each target user corresponding to users of different sexes is obtained as the secondary comprehensive matching degree of each target user corresponding to users of different sexes.

[0139] The secondary matching recommendation analysis module is used to analyze the secondary comprehensive matching degree of each target user to users of different genders. The specific analysis method is as follows:

[0140] Compare and analyze the secondary comprehensive matching degree of each target user corresponding to each user of the opposite sex with the set reference secondary comprehensive matching degree threshold. When the secondary comprehensive matching degree of a user of the opposite sex is greater than the set reference secondary comprehensive matching degree threshold, the user of the opposite sex is recorded as the secondary love and marriage push user of the user, thereby obtaining the statistics of the secondary love and marriage push users corresponding to each target user;

[0141] Compare the overlaps of the secondary love and marriage push users corresponding to each target user with the initial love and marriage push users corresponding to each target user and remove the overlapping love and marriage push users, thereby obtaining the non-overlapping love and marriage push users corresponding to each target user as the marked love and marriage push users corresponding to each target user;

[0142] The secondary comprehensive matching degrees of the marked love and marriage push users corresponding to the target users are sorted in descending order to obtain the secondary comprehensive matching degree ranking of the marked love and marriage push users corresponding to the target users;

[0143] The secondary recommendation parameters corresponding to each target user are formed by the ranking order of the secondary comprehensive matching degrees of each marked love and marriage push user corresponding to each target user and each marked love and marriage push user corresponding to each target user.

[0144] The intelligent recommendation execution terminal executes corresponding recommendation operations based on the primary recommendation parameters corresponding to each user and the secondary recommendation parameters corresponding to each target user.

[0145] The system repository is used to store the impact factors corresponding to the unattended status.

[0146] In a specific embodiment, the present invention analyzes the comprehensive matching degree of each user to users of different sexes through multi-dimensional matching parameters, which can comprehensively and meticulously characterize the compatibility between users, avoid the one-sidedness of single factor judgment, greatly improve the accuracy of matching, and facilitate the subsequent provision of personalized marriage introduction recommendation services for each user. It can not only intuitively understand the matching degree of each user to users of different sexes, but also provide strong data support for the initial recommendation parameters corresponding to each user in the subsequent marriage and love platform to a large extent;

[0147] The present invention analyzes the tendency of each user corresponding to each initial love and marriage recommender, and then analyzes the comprehensive tendency corresponding to each user, and based on this, determines the target users who need to be recommended for a second time, and at the same time performs a secondary matching degree optimization calculation and analysis on each target user, so that the secondary recommendation is more in line with the user's current true intentions and potential needs to a certain extent, further improves the effectiveness and pertinence of the recommendation, increases the probability of users finding suitable love and marriage partners, and improves the experience and satisfaction of users of the love and marriage platform.

[0148] The above contents are merely examples and explanations of the structure of the present invention. The technicians in this technical field may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the structure of the invention or exceed the scope defined by the claims, they should all fall within the protection scope of the present invention.

Claims

1. A marriage introduction intelligent service system, characterized in that: include: The user matching parameter acquisition module is used to acquire the matching parameters of each user for each user of the opposite sex on the dating platform in multiple dimensions, and obtain the matching parameters of each user for each user of the opposite sex in multiple dimensions; A user matching degree analysis module is used to analyze the matching degree of each user to users of different sexes based on the matching parameters of each user to users of different sexes in multiple dimensions, and obtain the matching degree of each user to users of different sexes; The first matching recommendation analysis module is used to analyze the comprehensive matching degree of each user with users of different sexes to obtain the first recommendation parameters corresponding to each user; The user behavior parameter acquisition module is used to acquire the behavior parameters of each user for each first-time marriage and love push user in the marriage and love platform, and obtain the behavior parameters of each user corresponding to each first-time marriage and love push user; A user tendency analysis module is used to analyze the tendency of each user corresponding to each first-time love and marriage push user based on the behavior parameters of each user corresponding to each first-time love and marriage push user, and obtain the tendency of each user corresponding to each first-time love and marriage push user; The secondary matching degree analysis module is used to analyze the secondary comprehensive matching degree of each target user to each user of the opposite sex based on the tendency of each user to each first marriage and love push user, and obtain the secondary comprehensive matching degree of each target user to each user of the opposite sex; A secondary matching recommendation analysis module is used to analyze the secondary comprehensive matching degree of each target user to users of different genders, and obtain the secondary recommendation parameters corresponding to each target user; An intelligent recommendation execution terminal executes corresponding recommendation operations based on the primary recommendation parameters corresponding to each user and the secondary recommendation parameters corresponding to each target user; The system repository is used to store the impact factors corresponding to the unattended status.

2. According to claim 1, a marriage introduction intelligent service system is characterized in that: The matching parameters of each user to the opposite sex users on the dating platform in multiple dimensions are obtained, and the specific acquisition process is as follows: Collect the personal information matching parameters of each user on the dating platform: The age difference between each user and each user of the opposite sex on the dating platform is obtained, and the age difference between each user and each user of the opposite sex on the dating platform is obtained, and the age difference is matched with each age difference corresponding to each set age matching level, and the age matching level of each user to each user of the opposite sex on the dating platform is obtained as the age matching level of each user to each user of the opposite sex; The educational level of each user and each user of the opposite sex on the dating platform is obtained to obtain the educational level of each user and each user of the opposite sex on the dating platform. If a user has the same educational level as a user of the opposite sex on the dating platform, the educational level matching degree between the user and the user of the opposite sex on the dating platform is assigned a value of O1. If a user has different educational levels from a user of the opposite sex on the dating platform, the educational level grade of the user and the educational level grade of the user of the opposite sex are obtained and the difference is calculated to obtain the grade difference between the educational level of the user and the educational level of the user of the opposite sex on the dating platform, and the grade differences corresponding to the matching degrees of each educational level are matched to obtain the educational level matching degree between the user and the user of the opposite sex on the dating platform. The occupational status of each user and the users of different sexes in the dating platform is obtained, and the occupational status of each user and the users of different sexes in the dating platform is obtained, wherein the occupational status includes: occupational stability level, occupational mobility level and occupational development prospect level. The occupational stability level includes three levels: high stability, medium stability and low stability, and they are assigned as X1, X2 and X3 respectively. The occupational mobility level includes three levels: high mobility, medium mobility and low mobility, and they are assigned as Y1, Y2 and Y3 respectively. The occupational development prospect level includes three levels: high, medium and low, and they are assigned as Z1, Z2 and Z3 respectively. The occupational stability level, occupational mobility level and occupational development prospect level of each user and the opposite sex users on the dating platform are calculated by difference, and the occupational stability level deviation, occupational mobility level deviation and occupational development prospect level deviation of each user to the opposite sex users on the dating platform are obtained. Through comprehensive analysis, the occupational similarity coefficient between each user and the opposite sex users on the dating platform is obtained. The family background information of each user and each user of the opposite sex on the dating platform is obtained, and the family background information of each user and each user of the opposite sex on the dating platform is obtained, wherein the family background information includes: family economic status and family cultural atmosphere; If the family economic status of a user is similar to that of a user of the opposite sex on the dating platform, the matching value between the family economic status of the user and the user of the opposite sex on the dating platform is assigned to T1; if the family economic status of a user is not similar to that of a user of the opposite sex on the dating platform, the matching value between the family economic status of the user and the user of the opposite sex on the dating platform is assigned to T2; Similarly, the family culture atmosphere matching value of each user and the users of the opposite sex on the dating platform is obtained by analyzing, and the family economic status matching value and family culture atmosphere matching value of each user and the users of the opposite sex on the dating platform are accumulated and calculated to obtain the family background matching value of each user and the users of the opposite sex on the dating platform; The interests and hobbies of each user and users of the opposite sex on the dating platform are obtained, and the interests and hobbies of each user and users of the opposite sex on the dating platform are compared and overlapped. When a certain interest and hobby of a user overlaps with a user of the opposite sex on the dating platform, the interest and hobby is marked as the overlapping interest and hobby item of the user and the user of the opposite sex on the dating platform, thereby obtaining the number of overlapping interests and hobbies of each user and users of the opposite sex on the dating platform.

3. The marriage introduction intelligent service system according to claim 1, characterized in that: Collect the lifestyle matching parameters of each user with users of different sexes on the dating platform: Obtain the work and rest time, consumption concept, and exercise and fitness habits of each user and the users of different sexes on the dating platform, and obtain the work and rest time, consumption concept, and exercise and fitness habits of each user and the users of different sexes on the dating platform. The work and rest time includes the time of getting up and the time of going to bed, the consumption concept includes thrifty, moderate, and luxurious, and the exercise and fitness habits include exercise frequency and main sports; Extract the wake-up time and bedtime of each user and the users of the opposite sex on the dating platform, and calculate the absolute value of the difference between them to obtain the wake-up time interval difference and bedtime time interval difference between each user and the users of the opposite sex on the dating platform, and match them with the wake-up time interval difference and bedtime time interval difference corresponding to the set wake-up time interval interval and bedtime time interval interval to obtain the wake-up time interval interval and bedtime time interval interval between each user and the users of the opposite sex on the dating platform; Match the wake-up time interval and the sleep time interval of each user with the users of the opposite sex on the dating platform with the wake-up time interval and the sleep time interval corresponding to the set work and rest rules, and obtain the work and rest rules matching degree of each user with the users of the opposite sex on the dating platform; Extract the consumption concepts of each user and the users of different sexes on the dating platform, and mark the thrifty, moderate and extravagant types as corresponding scores 1, 2 and 3 respectively, and calculate the absolute value of the difference between them to obtain the consumption concept difference between each user and the users of different sexes on the dating platform, and match it with the consumption concept difference corresponding to the set consumption concept matching degree to obtain the consumption concept matching degree between each user and the users of different sexes on the dating platform; Extract the exercise frequency and main exercise items of each user and users of the opposite sex on the dating platform, and match them with the exercise frequency and main exercise items of each user and users of the opposite sex on the dating platform corresponding to the set exercise habit matching degree, and obtain the exercise habit matching degree of each user and users of the opposite sex on the dating platform; Collect the personality matching parameters of each user for users of the opposite sex on the dating platform: Conduct personality dimension tests on each user and users of the opposite sex on the dating platform to obtain the personality dimension test results of each user and users of the opposite sex on the dating platform. The personality dimension test includes: extroversion, neuroticism, openness, agreeableness and conscientiousness. The five-dimensional personality test scores of each user and the opposite-sex users on the marriage and dating platform are extracted from the personality dimension test results of each user and the opposite-sex users on the marriage and dating platform, and the absolute value of the difference in each dimension score of each user and the opposite-sex users on the marriage and dating platform is calculated. The difference value of extraversion, neuroticism, openness, agreeableness and conscientiousness between each user and the opposite-sex users on the marriage and dating platform are obtained statistically, and the personality matching parameters of each user corresponding to the opposite-sex users are constructed.

4. The marriage introduction intelligent service system according to claim 1, characterized in that: Collect the matching parameters of each user's marriage and love views with users of the opposite sex on the marriage and love platform: The marriage expectation concepts, fertility intention concepts and love rhythm concepts of each user and the opposite sex users on the marriage and dating platform are obtained, and the marriage expectation concepts, fertility intention concepts and love rhythm concepts of each user and the opposite sex users on the marriage and dating platform are obtained, wherein the marriage expectation concepts include but are not limited to: marriage life model and family responsibility sharing; If a user's marriage expectations match those of a user of the opposite sex on the marriage and dating platform, the compatibility of the user's marriage expectations with the user of the opposite sex on the marriage and dating platform is assigned as P1; if a user's marriage expectations do not match those of a user of the opposite sex on the marriage and dating platform, the compatibility of the user's marriage expectations with the user of the opposite sex on the marriage and dating platform is assigned as P2, thereby obtaining the compatibility of each user's marriage expectations with each user of the opposite sex on the marriage and dating platform; By the same analysis, we can find the compatibility of each user's concept of fertility intention and concept of love rhythm with users of different sexes on the marriage and dating platform.

5. The marriage introduction intelligent service system according to claim 1, characterized in that: The matching degree of each user to users of different sexes is analyzed based on the matching parameters of each user to users of different sexes in multiple dimensions. The specific analysis method is as follows: From the personal information matching parameters of each user corresponding to the opposite sex users, the age matching level, educational level matching degree, occupation similarity coefficient, family background matching value and interest overlap items of each user and the opposite sex users on the dating platform are extracted and marked as i represents the number of each user, i = 1, 2, ...., m, m represents the total number of user numbers, j represents the number of users of different sexes, j = 1, 2, ...., n, n represents the total number of users of different sexes, according to the formula Calculate the basic information matching degree between each user and users of the opposite sex on the dating platform b1, b2, b3, b4, and b5 represent the set weight factors respectively; From the lifestyle matching parameters of each user corresponding to the users of the opposite sex, the matching degree of work and rest rules, consumption concept and exercise habits of each user and the users of the opposite sex on the dating platform are extracted and marked as According to the formula Calculate the lifestyle matching degree between each user and users of the opposite sex on the dating platform b6, b7, and b8 represent the set impact factors respectively; From the personality matching parameters of each user corresponding to the users of the opposite sex, the difference values ​​of extraversion, neuroticism, openness, agreeableness and conscientiousness between each user and the users of the opposite sex on the dating platform are extracted and marked as According to the formula Calculate the personality matching degree of each user to users of different genders They are respectively represented by the maximum scores of the personality test of the extraversion dimension, the neuroticism dimension, the openness dimension, the agreeableness dimension and the conscientiousness dimension, b9, b10, b11, b12 and b13 are respectively represented by the set weight factors; From the matching parameters of marriage and love views of each user corresponding to the opposite sex users, the compatibility of marriage expectation concept, fertility intention concept and love rhythm concept of each user with the opposite sex users on the marriage and love platform are extracted, and they are marked as According to the formula Calculate the matching degree of each user's marriage and love views with users of the opposite sex b14, b15, and b16 represent the set weight factors respectively; According to the formula Calculate the comprehensive matching degree of each user to users of different genders c1, c1, c3, and c4 represent the set weight factors respectively.

6. The marriage introduction intelligent service system according to claim 1, characterized in that: The analysis is based on the comprehensive matching degree of each user to users of different sexes. The specific analysis method is as follows: Compare and analyze the comprehensive matching degree of each user corresponding to each opposite-sex user with the set reference comprehensive matching degree threshold. When the comprehensive matching degree of a user of the opposite sex is greater than the set reference comprehensive matching degree threshold, the user of the opposite sex is recorded as the first love and marriage push user of the user, thereby obtaining the first love and marriage push users corresponding to each user; The comprehensive matching degrees of the first love and marriage push users corresponding to each user are sorted in descending order to obtain the comprehensive matching degree ranking of the first love and marriage push users corresponding to each user; The first-time love and marriage push users corresponding to each user and the matching degree ranking order of each first-time love and marriage push users corresponding to each user constitute the first-time recommendation parameters corresponding to each user.

7. The marriage introduction intelligent service system according to claim 1, characterized in that: The specific acquisition process of obtaining the behavior parameters of each user to each first-time dating push user on the dating platform is as follows: The number of times each user browses the user profile of each first-time dating push user on the dating platform, the duration of each browsing, the number of private messages sent, the duration between each private message sent, and the speed of replying to each private message sent are obtained, and the number of times each user browses the user profile of each first-time dating push user, the duration of each browsing, the number of private messages sent, the duration between each private message sent, and the speed of replying to each private message sent are obtained; The attention status of each user to each first-time marriage and love push user on the marriage and love platform is obtained. If the attention status of a user to a first-time marriage and love push user on the marriage and love platform is not followed, step A1 is executed; if the attention status of a user to a first-time marriage and love push user on the marriage and love platform is followed, step A2 is executed; A1: extract the influence factor corresponding to the unfollowed status stored in the system repository as the influence factor of the user's attention status to the first-time love and marriage push user in the love and marriage platform, and execute step A3; A2: Obtain the time point when the user starts paying attention to the first marriage and love push user in the marriage and love platform, and collect the current acquisition time point, subtract the time point when the user starts paying attention to the first marriage and love push user in the marriage and love platform from the current acquisition time point to obtain the user's attention duration to the first marriage and love push user in the marriage and love platform, match it with the set attention duration threshold corresponding to each attention level to obtain the user's attention level to the first marriage and love push user in the marriage and love platform, match the user's attention level to the first marriage and love push user in the marriage and love platform with the set influence factors corresponding to each attention level to obtain the user's influence factor to the first marriage and love push user in the marriage and love platform as the user's attention status influence factor to the first marriage and love push user in the marriage and love platform, and execute step A3; A3: The following statistical factors are used to obtain the attention status influence factors of each user to each first-time dating and marriage push user on the dating and marriage platform, and used as the attention status influence factors of each user to each first-time dating and marriage push user; The behavioral parameters of each user corresponding to each first-time love and marriage push user are composed of the number of user profile browsing times, the duration of each browsing time, the number of private messages sent, the interval between each private message sending, the reply speed of each private message sent, and the influence factor of the attention status.

8. The marriage introduction intelligent service system according to claim 1, characterized in that: The analysis of the tendency of each user to each first-time love and marriage push user is performed based on the behavior parameters of each user to each first-time love and marriage push user. The specific analysis method is as follows: From the behavioral parameters of each user corresponding to each first-time love and marriage push user, the number of views, the duration of each view, the number of private messages sent, the interval between each private message sent, the speed of replying to each private message sent, and the influence factor of the attention status of each user corresponding to each first-time love and marriage push user are extracted and recorded as f represents the ID of each first-time love and marriage push user, f=1,2,....g, g represents the total number of first-time love and marriage push user IDs, k represents the number of each browsing, k=1,2,....l, l represents the total number of browsing times, p represents the number of each private message sent, p=1,2,....v, v represents the total number of private message sent; Compare the browsing time of each user corresponding to each first-time marriage and love push user with the set reference browsing time. If a browsing time is longer than the set reference browsing time, then record this browsing as a valid browsing. At the same time, count the number of valid browsing times of each user corresponding to each first-time marriage and love push user, recorded as yxln i f ; According to the formula Calculate the browsing evaluation index of each user corresponding to each first-time marriage and love push user ln' and lt' represent the set reference browsing times and reference browsing duration respectively, and d1, d2, and d3 represent the set weight factors respectively; According to the formula Calculate the favorability evaluation index of each user corresponding to each first-time marriage and love push user fsn', fst', fsv' respectively represent the set reference number of private message sending, reference private message sending interval and reference private message reply speed, and d4, d5, d6 respectively represent the set weight factors; According to the formula Calculate the inclination of each user to each first-time love and marriage push user e1 and e2 represent the set weight factors respectively.

9. The marriage introduction intelligent service system according to claim 1, characterized in that: The secondary comprehensive matching degree of each target user to each user of the opposite sex is analyzed based on the inclination degree of each user to each first marriage and love push user. The specific analysis method is as follows: Accumulate the inclinations of each user corresponding to each first marriage and love push user to obtain the comprehensive inclination corresponding to each user, and compare and analyze the comprehensive inclination corresponding to each user with the set reference comprehensive inclination. If the comprehensive inclination corresponding to a user is less than the set reference comprehensive inclination, it is determined that the user needs to undergo a secondary matching analysis, and thus the users who need to undergo a secondary matching analysis are obtained statistically as target users. Obtain the attention degree of each target user corresponding to each matching dimension, obtain the attention degree of each target user corresponding to each matching dimension, and based on the attention degree of each target user corresponding to each matching dimension, match the attention degree of each matching dimension with the attention degree of each matching dimension corresponding to the set weight factor adjustment parameter of each matching dimension, and obtain the weight factor adjustment parameter of each target user corresponding to each matching dimension; Based on the weight factor adjustment parameters of each target user corresponding to each matching dimension, the matching degree of each target user corresponding to users of different sexes is calculated according to the same execution steps of the user matching parameter acquisition module and the user matching degree analysis module, and the matching degree of each target user corresponding to users of different sexes is obtained as the secondary comprehensive matching degree of each target user corresponding to users of different sexes.

10. The marriage introduction intelligent service system according to claim 1, characterized in that: The analysis is based on the secondary comprehensive matching degree of each target user to each heterogeneous user. The specific analysis method is as follows: Compare and analyze the secondary comprehensive matching degree of each target user corresponding to each user of the opposite sex with the set reference secondary comprehensive matching degree threshold. When the secondary comprehensive matching degree of a user of the opposite sex is greater than the set reference secondary comprehensive matching degree threshold, the user of the opposite sex is recorded as the secondary love and marriage push user of the user, thereby obtaining the statistics of the secondary love and marriage push users corresponding to each target user; Compare the overlaps of the secondary love and marriage push users corresponding to each target user with the initial love and marriage push users corresponding to each target user and remove the overlapping love and marriage push users, thereby obtaining the non-overlapping love and marriage push users corresponding to each target user as the marked love and marriage push users corresponding to each target user; The secondary comprehensive matching degrees of the marked love and marriage push users corresponding to the target users are sorted in descending order to obtain the secondary comprehensive matching degree ranking of the marked love and marriage push users corresponding to the target users; The secondary recommendation parameters corresponding to each user are formed by the ranking order of the secondary comprehensive matching degrees of each marked love and marriage push user corresponding to each target user and each marked love and marriage push user corresponding to each target user.

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