Accurate pairing method and system

Abstract

The invention discloses a precise pairing method and system, and relates to the fields of recruitment, dating and dating, occupational planning, volunteer filling service and the like. The method comprises the following steps: firstly, establishing a factor standard library, then carrying out measurement test and evaluation on objects participating in pairing, quantifying factors or numbering and valuing according to the factor standard library, and dividing the factors into core factors and non-core factors. Quantized or serialized factors are accurately paired, and the strict degrees of pairing algorithms for core factors and non-core factors are different, so that an accurate pairing result can be output and reliability can be ensured. The job hunting time of job hunters in the recruitment and job hunting fields is reduced, so that recruitment units can quickly obtain qualified people choices with low cost; in the field of dating and friend making, the phenomena that impulse type friend making is caused by surface information, and consequently the family is out of the marriage and the like are avoided, and genetic diseases can be avoided; in the field of occupational planning and volunteer filling service, examinees can be helped to obtain matched schools and majors, and the situation that the examinees enter wrong lines at the beginning is avoided.

Description

Technical Field

[0001] The present invention is a precise matching method that can be applied to recruitment, dating, career planning and volunteer application service networks, corresponding APPs and mini-programs, etc. Background Art

[0002] Existing recruitment websites or apps offer job postings and job search information, along with search and push services. However, the posted and job search information is sometimes inaccurate, with some key information omitted, resulting in inaccurate push notifications. This causes job seekers to spend extended periods browsing the website. Similarly, employers spend considerable time browsing and screening to find the right candidate. After the initial selection, they interview multiple candidates before ultimately selecting the right fit, resulting in a waste of human resources. Furthermore, employers typically only interview or test candidates' abilities, neglecting to assess their psychological and personality traits. This can lead to a lack of sociability and cohesion.

[0003] On marriage and dating websites and corresponding apps, the information provided by daters is relatively superficial. They themselves do not understand key information or core information that affects family relationships and therefore cannot provide it, which leads to serious family conflicts after marriage or an excessively high divorce rate, or genetic diseases in the next generation, which can be avoided through eugenics.

[0004] At present, the volunteer planning service for the college entrance examination is generally still a manual service. Due to the client's understanding of the school and the student's own characteristics, the volunteer planning or career planning is not accurate enough, resulting in studying in a major that they do not like. In particular, ordinary universities generally have low learning enthusiasm, aversion to learning, or the phenomenon of changing majors. Summary of the Invention

[0005] The purpose of the present invention is to provide a precise matching method and system for solving the problems arising from the above-mentioned background technology.

[0006] To achieve the above object, the present invention adopts the following technical solutions:

[0007] In a first aspect, a precise matching method is provided, comprising:

[0008] Precisely match quantified or serializable factors. Quantification or serialization corresponds to a single value or a range of values. A standard library exists for these factors, which provides standardized specifications for each factor's value. These factors include core factors and non-core factors. Core factors are primary or critical factors, while non-core factors are secondary or non-critical factors. Pairing involves comparing factors across different subjects. Precision ensures the reliability of the matching results.

[0009] By using the above technical methods, we first establish a standard factor library. Then, we obtain key and non-key factors for the objects to be matched. We then compare the values ​​obtained against the standard factor library to ensure that the information values ​​are reliable and well-founded. Through the matching algorithm, we obtain reliable matching results and reduce the screening time for both parties.

[0010] Preferably, the factors include but are not limited to ability, physiology, psychology, defects, etc.; the ability includes but is not limited to learning ability, management ability, current knowledge level, academic qualifications, etc.; the defects include but are not limited to physical defects, psychological defects, genetic defects, etc.;

[0011] Preferably, the different objects include but are not limited to organizations, institutions, enterprises, individuals, etc.;

[0012] Preferably, the factors are stored in a confidential manner, and the input and output of the factors are performed by the holder or agent of the factors.

[0013] Preferably, the comparison refers to using an algorithm, including but not limited to comparison, AND, OR, NOT or combination to calculate the pairing results, etc. The core factors and non-core factors use the algorithm with different degrees of rigor.

[0014] Preferably, the agent is the person who performs the measurement, testing, or evaluation for the owner of the factor. The measurement, testing, or evaluation process can be conducted online or offline and can be fully recorded in the form of video or audio recording, which can be attached to the corresponding factor or owner. The agent and the factor owner classify the factors into key factors and non-key factors.

[0015] By adopting the above technical methods, the personnel involved in the pairing are measured, tested or evaluated to obtain reliable values ​​of key and non-key factors. Through the pairing algorithm, the capabilities of both parties involved in the pairing can be fully utilized and their potential can be tapped, and the impact of their defects can be reduced or compensated.

[0016] There can be multiple matching results, but only the best one or several will be pushed. After a successful match, the successfully matched object will be closed and will no longer participate in the match. The best is to maximize the benefits for both parties involved in the match, stimulate the maximum potential of the object, and minimize or completely eliminate the impact of any defects.

[0017] The successful pairing means that the two parties involved in the pairing accept or recognize each other; if there is no mutual acceptance or recognition, then the factor standard library is checked for completeness, or the key factors and non-key factors are adjusted, or the factor values ​​are adjusted, or the algorithm is adjusted, and the pairing calculation is re-participated after the adjustment.

[0018] Through the above technical methods, only the best one or several are pushed, especially in the field of dating and marriage, only one suitable one is pushed to avoid love triangles. Successful matches are closed and no longer participate in the matchmaking, ensuring that the participants in the matchmaking are authentic, reliable, and up-to-date, avoiding misleading the potential matchmaking partners;

[0019] Since the factors are obtained objectively and recorded throughout the process, they can be traced back. The above technical methods can be used to continuously improve the entire matching process.

[0020] In a second aspect, a precise matching system is provided, which uses the following modules: a factor standardization module, a factor acquisition module, a factor input module, a factor precise matching module, a matching result push module, and an acceptance confirmation module;

[0021] The factor standardization module is used by the factor standard library to make standardized descriptions for the values ​​of each factor;

[0022] The factor acquisition module is used by agents to test, measure or evaluate the factor owners and jointly analyze and derive key and non-key factors;

[0023] The factor input module is used for inputting key factors and non-key factors by the agent or factor owner;

[0024] The factor precise matching module is used to perform matching calculations on factors of different objects and obtain matching results;

[0025] The pairing result output module is used to output the optimal pairing result and push it to the parties involved in the pairing;

[0026] The acceptance confirmation module is used for the objects participating in the pairing to receive the pushed optimal result, check it and determine whether to accept the other party. If both parties accept each other, the objects participating in the pairing will be closed and will no longer participate in the pairing.

[0027] In summary, the present invention has at least one of the following beneficial effects:

[0028] 1. Since the subjects involved in the matching have been tested and evaluated in terms of ability, physiology, psychology, etc. in advance, key and non-key factors have been obtained, and there is a factor standard library for reference, so that the factors can be valued according to a unified standard. The values ​​are objective and reliable, making accurate matching possible, greatly improving efficiency and matching quality.

[0029] 2. The objective acquisition process of factors can avoid erroneous information, or intentional or unintentional misleading information, and close successful matching objects in a timely manner to ensure that the objects involved in the matching are real.

[0030] 3. From the perspective of recruitment and job hunting, recruiting companies can not only quickly obtain the required talents and reduce recruitment expenses, but also obtain the required talents at a lower cost; for job seekers, they can maximize their potential and gain relatively large room for promotion.

[0031] 4. For dating and marriage, it avoids blind friendships, reduces family conflicts and divorce rates, allows children to grow up in happy families, and makes society more harmonious; at the same time, it avoids the occurrence of genetic diseases to a certain extent and improves the rate of eugenics and good parenting.

[0032] 5. Filling out the application form with career planning can avoid blindly choosing a major. It can accurately match the major of a school with your learning ability, interests, hobbies, personality traits, etc., thus avoiding choosing the wrong career from the beginning, increasing interest in learning, and avoiding dropping out of school due to boredom with learning. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] Figure 1 These are specific steps of a precise pairing method of the present invention.

[0034] Figure 2 It is a component module of a precise matching system of the present invention. DETAILED DESCRIPTION

[0035] The present invention will be further described in detail below with reference to the embodiments and drawings, but the embodiments of the present invention are not limited thereto.

[0036] Example

[0037] like Figure 1 As shown, the first aspect of this embodiment provides a precise pairing method, which may include but is not limited to the following steps S0-S5.

[0038] Step S0: Establish a standard factor library. Factors include abilities, physiology, psychology, and even disabilities. Abilities include, but are not limited to, learning ability, prior experience and technical level, management skills, and academic qualifications. Disabilities include, but are not limited to, physical, psychological, and genetic defects. Specific values ​​for each factor are referenced to national standards where available. In the absence of national standards, these values ​​are set and determined by authoritative personnel. The standard library provides detailed information on the qualitative and quantitative values ​​and grading of each factor.

[0039] Step S1: Obtain the matching partner's factors, classify them into key and non-key factors, and assign values. While superficial factors, such as weight, can be measured with instruments, others are typically assessed by experts, such as psychologists, who compare them to a standard library of factors to obtain a value. The entire factor acquisition process is recorded for easy retrospective review and can be sent as an attachment to the successfully matched partner.

[0040] Step S2, Matching Algorithm: Pair two entities. This can be an organization, institution, or enterprise with an individual, or an individual with another individual. The matching algorithm for key factors is stricter than for non-key factors. The algorithm aims to maximize individual capabilities and eliminate or mitigate the impact of deficiencies.

[0041] Step S3, outputting the optimal result: After the pairing calculation is completed, the pairing result is output and one or more optimal results are pushed to both parties involved in the pairing.

[0042] In step S4, after receiving the push result, the matching participants verify whether the other party meets their needs. If they are mutually acceptable, the matching is considered successful; otherwise, the matching is considered unsuccessful. If the matching fails, the first step is to check whether the factor standard library is incomplete. If so, new factors are added. If not, the factor values ​​are checked for correctness, or whether key factors are adjusted to non-key factors or non-key factors are adjusted to key factors. The matching algorithm is also checked for issues, and if so, they need to be modified. After all these checks, the matching calculation is repeated.

[0043] Step S5, closing the object participating in the pairing: if the object is successfully paired, close the object in time and no longer participate in the pairing.

[0044] like Figure 2 As shown, the second aspect of this embodiment provides a precise matching system, which may include but is not limited to the following modules.

[0045] A precise matching system utilizes the precise matching method, including a factor standard library module, a factor acquisition module, a factor input module, a factor precise matching module, a matching result push module, and an acceptance confirmation module to achieve precise matching.

[0046] The factor standardization module is a module that standardizes the values ​​of each factor in the factor standard library and is a collection of factors and their values.

[0047] The factor acquisition module is where the agent tests, measures or evaluates the factor owners, jointly analyzes and obtains the key and non-key factors and takes their values;

[0048] The factor input module is used by the agent or factor owner to input key factors and non-key factors and their values;

[0049] The factor precise matching module is used to perform matching calculations on factors of different objects and obtain matching results;

[0050] The pairing result push module is used to output the pairing results and push one or more of them to the parties involved in the pairing;

[0051] The acceptance confirmation module is used for the objects participating in the pairing to receive the pushed optimal result, check it and determine whether to accept the other party. If both parties accept each other, the objects participating in the pairing will be closed and will no longer participate in the pairing.

[0052] The above are preferred embodiments of the present invention and are not intended to limit the scope of protection of the present invention. Any repair, replacement, improvement, etc. made within the spirit and principle of the present invention should be within the scope of protection of the present invention.

Claims

1. A precise matching method, characterized by: Precisely match quantifiable or serializable factors. Quantifiable or serializable factors correspond to a single value or a value within a certain range. A standard library exists for these factors, which provides standardized specifications for each factor's value. These factors include core factors and non-core factors. Core factors are primary or critical factors, while non-core factors are secondary or non-critical factors. Pairing involves comparing factors across different subjects. Precision ensures that the matching results are reliable.

2. A precise matching method according to claim 1, characterized in that: The factors include but are not limited to ability, physiology, psychology, and defects. Ability includes but is not limited to learning ability, management ability, current knowledge level, academic qualifications, etc.; defects include but are not limited to physical defects, psychological defects, genetic defects, etc.

3. The precise matching method according to claim 1, characterized in that: The different objects include but are not limited to organizations, institutions, enterprises, individuals, etc.

4. The precise matching method according to claim 1, characterized in that: The storage method of the factors is confidential, and the input and output of the factors are performed by the holder or agent of the factors.

5. The precise matching method according to claim 1, characterized in that: The comparison refers to the use of algorithms, including but not limited to comparison, AND, OR, NOT or combination to calculate the pairing results, etc. The core factors and non-core factors are calculated using the algorithms with different degrees of rigor.

6. A precise matching method according to claim 4, characterized in that: The agent is the person who conducts the measurement, testing, or evaluation for the owner of the factor. The measurement, testing, or evaluation process can be online or offline and can be fully recorded in the form of video or audio recording, which can be attached to the corresponding factor or owner. The agent and the factor owner will classify the factors as key factors and non-key factors.

7. The precise matching method according to claim 5, characterized in that: There can be multiple matching results, but only the best one or several will be pushed. After a successful match, the matched party will be closed and will no longer participate in the match. The best match is to maximize the benefits for both parties involved in the match, stimulate the maximum potential of the party, and compensate for, reduce, or eliminate the impact of any defects.

8. The precise matching method according to claim 7, characterized in that: The successful pairing means that the two parties involved in the pairing accept or recognize each other; if there is no mutual acceptance or recognition, then the factor standard library is checked for completeness, or the key factors and non-key factors are adjusted, or the factor values ​​are adjusted, or the algorithm is adjusted, and the pairing calculation is re-participated after the adjustment.

9. A precise matching system, characterized in that: Applying any precise matching method as claimed in claims 1-8, including a factor standard library module, a factor acquisition module, a factor input module, a factor precise matching module, a matching result push module, and an acceptance confirmation module; The factor standardization module is used by the factor standard library to make standardized descriptions for the values ​​of each factor; The factor acquisition module is where the agent tests, measures or evaluates the factor owners, jointly analyzes and obtains the key and non-key factors and takes their values; The factor input module is used for inputting key factors and non-key factors by the agent or factor owner; The factor precise matching module is used to perform matching calculations on factors of different objects and obtain matching results; The pairing result push module is used to output the pairing results and push the best result to the participants in the pairing; The acceptance confirmation module is used for the objects participating in the pairing to receive the pushed optimal result, check it and determine whether to accept the other party. If both parties accept each other, the objects participating in the pairing will be closed and will no longer participate in the pairing.

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