Professional integration system

Abstract

The invention relates to a professional integration system, which comprises a server. And the database is installed in the server. The at least one expert terminal is in communication connection with the server and is used for an expert to operate on a first digital device; the expert terminal comprises an expert data uploading module, a professional certificate uploading module, a professional service management module, a customer comment module and a potential customer push module. The at least one client terminal is in communication connection with the server and is used for a client to operate on a second digital device; the client terminal comprises a client data uploading module, an expert query module, a transaction management module, a pair of expert comment modules and a potential expert push module. And the manpower matching terminal comprises a joining management module, a professional degree verification module, a matching module, a matching degree analysis module, a profit sharing module, an evaluation feedback module, an advertisement module and a potential matching module. According to the invention, the matching success rate and the matching experience between the expert and the user can be effectively improved.

Description

Technical Field

[0001] The present invention relates to a professional integration system, and particularly to a professional integration system that can improve the matching opportunity between experts and customers and enhance the matching experience. Background Art

[0002] Generally speaking, an "expert" refers to a person who has professional capabilities or technical expertise that ordinary people do not possess in a certain field. Common examples of experts in daily life include physicians, lawyers, accountants, home care nurses, etc. The general public does not come into contact with these occupations in daily life and usually does not have the key knowledge required for these occupations. Once encountering some professional problems, the public usually cannot solve them by themselves and needs to seek the assistance of experts. For example, when people are sick, they need to seek the help of a physician to cure the disease; when having a legal dispute with others, they need to seek the help of a lawyer to conduct litigation to obtain legal relief; when the company's internal finances are unclear, they need to seek the help of an accountant to sort out the company's financial reports, balance sheets, or internal and external accounts to clarify the company's financial situation. It can be said that experts are an indispensable role in helping the public solve problems.

[0003] Currently, most methods for finding experts still rely on traditional contact media, such as directly visiting, making phone calls, or searching online. Although this method is useful, it is inefficient. For example, when directly going to the hospital to register, there may be several physicians in the same department, and the public cannot immediately learn about the medical background, medical skills, and medical ethics of each physician on the spot. It may lead to the deterioration of the condition due to registering with the wrong physician. On the other hand, although making a phone call to an expert allows one to hear the voice of the expert, it is possible to be misled by their words and unable to objectively analyze their capabilities. By entering keywords through search engines such as GOOGLE and YAHOO, it is often difficult to find a suitable expert due to the vast amount of information and false online information (such as fabricated reviews, fake news, false advertisements...). On the other hand, some experts have excellent professional capabilities, but due to insufficient publicity, lack of qualifications, or being low-key, their professional capabilities cannot be seen by the public in need, resulting in a waste of talent.

[0004] The above problems between experts and the public (or customers) indicate that there is currently an information asymmetry in the matching relationship between experts and the public (or customers). Therefore, how to provide a professional integration system that can objectively provide information on the professional capabilities of experts for customers to reference and provide the most suitable expert candidates to assist them in solving problems when needed is one of the urgent issues for practitioners and researchers in the field of human resource matching. Summary of the Invention

[0005] The main objective of the present invention is to provide a professional integration system, which can effectively improve the matching opportunities between experts and customers and enhance the matching experience.

[0006] To achieve the above-mentioned invention objective, the present invention discloses a professional integration system, comprising: a server; a database installed in the server; at least one expert terminal communicatively connected to the server for an expert to operate on a first digital device; the expert terminal includes: an expert data upload module communicatively connected to the database for uploading an expert's expert data to the database for storage; a professional certificate upload module communicatively connected to the database for uploading the professional certificate data of the expert to the database for storage; and a professional service management module communicatively connected to the database for uploading at least one professional service that the expert desires to match and a service fee corresponding to the professional service to the database for storage; at least one customer terminal communicatively connected to the server for a customer to operate on a second digital device; the customer terminal includes: a customer data upload module communicatively connected to the database for uploading the customer's customer data to the database for storage; an expert query module communicatively connected to the database for uploading at least one expert query condition to the database for storage and selecting at least one expert that meets the expert query condition; and a transaction management module for the customer terminal to pay the service fee corresponding to one of the professional services of the expert after selecting a certain expert to obtain the professional service of the expert; and a human matching terminal communicatively connected to the server, the expert terminal and the customer terminal; the human matching terminal includes: a matching module communicatively connected to the database and the customer terminal for searching for appropriate experts from the database according to the expert query conditions uploaded by the customer terminal and generating an expert list to be transmitted to the expert query module of the customer terminal for selection; and a suitability analysis module communicatively connected to the database and the matching module for analyzing the expert query conditions uploaded by the customer terminal each time through an AI algorithm to judge the experts that the customer may prefer, and accordingly adjusting the expert list transmitted by the matching module.

[0007] In an embodiment, the human matching terminal further includes a potential matching module communicatively connected to the database for analyzing the relevant matching records of the customer terminal through an AI algorithm to generate a corresponding potential expert recommendation list; the customer terminal further includes a potential expert push module communicatively connected to the potential matching module for receiving the potential expert recommendation list and displaying it on the customer terminal in the form of an APP push notification or a text message push message.

[0008] In one embodiment, the human matchmaking terminal further includes a potential matchmaking module, which is communicatively connected to the database and is used to analyze the relevant matchmaking records of the expert terminal through an AI algorithm, so as to generate a corresponding list of potential customer recommendations; the expert terminal further includes a potential customer push module, which is communicatively connected to the potential matchmaking module and is used to receive the list of potential customer recommendations and display them on the expert terminal in the form of APP push notifications or SMS push messages.

[0009] In one embodiment, the human matchmaking terminal further includes a professionalism verification module, which is communicatively connected to the expert database and the servers of at least one third-party institution, and is used to transmit professional certificate materials to the servers of the third-party institution for comparison, so as to judge the authenticity of the professional certificate materials.

[0010] In one embodiment, the expert terminal further includes an expert evaluation result module, which is communicatively connected to the database and is used for the expert to upload a pair of customer professional evaluation results corresponding to the customer to be stored in the database; the expert terminal is communicatively connected to an expert competent authority module, which is used for the expert to report the evaluation results.

[0011] In one embodiment, the customer terminal further includes a pair of expert evaluation modules, which are communicatively connected to the database and are used for each customer to upload a pair of expert comments corresponding to the expert to be stored in the database; the human matchmaking terminal further includes an evaluation feedback module, which is communicatively connected to the database and is used to analyze each pair of expert comments corresponding to the expert; when the evaluation feedback module judges that each pair of expert comments corresponding to the expert is lower than a first threshold, the evaluation feedback module reduces the probability of the expert appearing in the expert list.

[0012] In one embodiment, when the evaluation feedback module judges that each pair of expert comments corresponding to the expert is lower than a second threshold, the evaluation feedback module removes all the expert materials and professional certificate materials corresponding to the expert in the database.

[0013] In one embodiment, the expert terminal further includes a pair of customer evaluation modules, which are communicatively connected to the database and are used for each expert to upload a pair of customer comments corresponding to the customer to be stored in the database; the human matchmaking terminal further includes an evaluation feedback module, which is communicatively connected to the database and is used to analyze each pair of customer comments corresponding to the customer. When the evaluation feedback module judges that each pair of customer comments corresponding to the customer is lower than a third threshold, the evaluation feedback module increases the service fees to be paid by the customer subsequently.

[0014] In one embodiment, when the evaluation feedback module judges that each pair of customer comments corresponding to the customer is lower than a fourth threshold, the evaluation feedback module removes all the customer materials corresponding to the customer in the database.

[0015] In one embodiment, the human matchmaking terminal further includes a profit sharing module for distributing the service fees received from the customer terminal to the expert terminal and the human matchmaking terminal according to a predetermined profit sharing ratio.

[0016] In one embodiment, the human matchmaking terminal further includes an advertising module communicatively connected to at least one social media for advertising an advertisement material corresponding to an expert on the social media when the expert pays an advertising fee.

[0017] The following are preferred embodiments of the present invention and are described in detail in conjunction with the drawings according to the objects and effects of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 It is a block diagram of a preferred embodiment of the present invention.

[0019] Figure 2 It is a block diagram of a preferred embodiment of the present invention.

[0020] Figure 3 It is a block diagram of another preferred embodiment of the present invention.

[0021] Figure 4 It is a block diagram of the first example of the present invention.

[0022] Figure 5 It is a block diagram of the second example of the present invention.

[0023] Figure 6 It is a block diagram of the third example of the present invention.

[0024] Figure 7 It is a block diagram of the fourth example of the present invention.

[0025] Wherein: 10: server; 20: database; 30: expert terminal; 31: expert data upload module; 32: professional certificate upload module; 33: professional service management module; 34: customer evaluation module; 35: expert evaluation result module; 36: potential customer push module; 37: expert competent authority module; 40: customer terminal; 41: customer data upload module; 42: expert query module; 43: transaction management module; 44: expert evaluation module; 45: potential expert push module; 50: human matchmaking terminal; 51: franchise management module; 52: professionalism verification module; 53: matchmaking module; 54: suitability analysis module; 55: profit sharing module; 56: evaluation feedback module; 57: advertising module; 58: potential matchmaking module. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0026] The following descriptions with reference to the respective diagrams are preferred embodiments of the present invention. It should be understood that the diagrams and descriptions herein are for illustrative purposes only and are not intended to limit the present invention. In addition, terms such as "upper" and "lower", "left" and "right", "front" and "rear", "first" and "second", etc. described in the specification are used to clearly illustrate the relative positions between components or mechanisms and are not restrictive terms.

[0027] Please refer to Figure 1 and Figure 2 As shown, the professional integration system provided by a preferred embodiment of the present invention mainly includes a server 10, a database 20, at least one expert terminal 30, at least one client terminal 40, and a personnel matching terminal 50. Among them:

[0028] The server 10 can be a cloud server or a physical server. The database 20 is installed on the server 10 and is used to store all the data uploaded by each expert terminal 30 and each client terminal 40.

[0029] The expert terminal 30 is communicatively connected to the server 10 and is used for an expert to operate on a first digital device (not shown in the figure). The first digital device includes but is not limited to a personal computer, a smart phone, a tablet computer, or a notebook computer. An expert is a person with professional capabilities / knowledge, such as a doctor, a lawyer, an accountant, etc. The client terminal 40 is communicatively connected to the server 10 and is used for a client to operate on a second digital device (not shown in the figure). The second digital device includes but is not limited to a personal computer, a smart phone, a tablet computer, or a notebook computer. A client is a person in need of professional capabilities / knowledge, such as a patient, a party, a company boss, etc.

[0030] The expert terminal 30 has an expert data upload module 31, a professional certificate upload module 32, a professional service upload module 33, a client evaluation module 34, and an expert evaluation result module 35.

[0031] The expert information upload module 31 is communicatively connected to the database 20 for uploading at least one piece of expert information of an expert to the database for storage. The expert information includes but is not limited to the name, phone number, email, occupation, education background, work experience, affiliated company, service area, bank collection information, etc. of the expert. The expert information can be uploaded by filling it out online through the network; it can also be uploaded in the form of a resume file, and its resume format supports multiple file formats such as PDF, WORD, etc. The expert information will be uploaded to the human resource matching terminal 50 through the network for online review. For example, the human resource matching terminal 50 can send an email (E-MAIL) or a text message to the expert terminal 30, and wait for the expert to perform a second verification according to the content in the email or text message to confirm whether the expert information filled in by the expert is his / her own. If the review result of the human resource matching terminal 50 confirms it is the expert himself / herself, the human resource matching terminal 50 will authenticate the expert as an expert member of the system.

[0032] The professional certificate upload module 32 is communicatively connected to the database 20 for uploading at least one piece of professional certificate information of an expert to the database 20 for storage. The professional certificate information includes but is not limited to relevant licenses, certificates, professional ability completion certificates, ability test results, etc. corresponding to the professional ability of the expert. For example, it could be a doctor's license, CPR certificate, completion certificate of building interior decoration training, etc. corresponding to a doctor. Since professional certificate information is usually issued by a credible unit / institution, it can objectively reflect the professional level of the expert.

[0033] The professional service management module 33 is communicatively connected to the database 20 for an expert to upload at least one professional service to be matched and a service fee corresponding to the professional service to the database 20 for storage. Among them, the professional service management module 33 can synchronously display the service fees set by other experts for a certain professional service, for the expert to use as a comparison and reference for pricing. In addition, the professional service management module 33 can also perform big data analysis on the prices set by all relevant experts for the professional service in this system through an AI algorithm, and automatically calculate a recommended service fee for new experts to refer to.

[0034] The customer evaluation module 34 is communicatively connected to the database 20 for an expert to upload a pair of customer reviews to the database 20 for storage after the professional service is completed, including but not limited to score reviews (such as 1 - 5 stars, 1 - 10 points, very satisfied - very dissatisfied), text reviews, or questionnaire reviews. A pair of customer reviews will be displayed together on each expert terminal 30 for subsequent experts to refer to before matching.

[0035] The customer terminal 40 has a customer information upload module 41, an expert query module 42, a transaction management module 43, and a pair of expert evaluation modules 44.

[0036] The customer data upload module 41 is communicatively connected to the database 20. The customer data upload module 41 is used to upload at least one piece of customer data of a customer to the database 20 for storage. The customer data includes, but is not limited to, the customer's name, gender, age, phone number, email, location, bank payment information, and so on. The customer data can be uploaded by filling it out online through the network; it can also be uploaded in the form of a resume file, and its resume format supports multiple file formats, such as PDF, WORD, and so on. The customer data will be uploaded to the human matchmaking terminal 50 through the network for online review. For example, the human matchmaking terminal 50 can send an email (E-MAIL) or a mobile phone text message to the customer terminal 40, and wait for the customer to perform a second verification according to the content in the email or mobile phone text message to confirm whether the customer's filled customer resume data is that of the customer himself. If the review result of the human matchmaking terminal 50 confirms that it is the customer himself, the human matchmaking terminal 50 will authenticate the customer as a customer member of the system.

[0037] The expert query module 42 is communicatively connected to the database 20, and is used to allow a customer to upload at least one expert query condition to the database 20 for storage. When the expert query condition is uploaded, the human matchmaking terminal 50 will compare and analyze each expert query condition with each expert data in the database 20, and accordingly generate a suitable list of experts to be transmitted to the expert query module 42 for the customer to select.

[0038] The transaction management module 43 is used to allow the customer terminal 40 to pay the service fee corresponding to one of the professional services of an expert after selecting an expert, in order to obtain the professional service of the expert. The payment methods of the transaction management module 43 include, but are not limited to, credit card consumption, over-the-counter payment, online ATM transfer, or other third-party payment methods; at the same time, the transaction management module 43 will also ensure the security of the transaction through AI algorithms during the transaction process, such as confirming whether the transaction records of both parties are normal, confirming whether the amount is normal, and performing identity verification through multiple verification codes, fingerprint recognition, face recognition, or other biometric / non-biological recognition technologies. Among them, the service fee of the transaction management module 43 will first be remitted to a bank account of the human matchmaking terminal 50, and after the expert completes the professional service, the human matchmaking terminal 50 and the expert terminal 30 will perform subsequent profit sharing.

[0039] A pair of expert evaluation modules 44 are communicatively connected to the database 20, and are used to allow a customer to upload a pair of expert reviews to the database 20 for storage after the professional service is completed, including but not limited to score reviews (such as 1-5 stars, 1-10 points, very satisfied - very dissatisfied), text reviews, or questionnaire reviews. The pair of expert reviews will be displayed together in the interface of the expert query module 42 of each customer terminal 40 for reference by subsequent customers before matchmaking a specific expert.

[0040] Please refer to Figure 3 as shownFigure 3 It is a block diagram of another preferred embodiment of the present invention. The expert terminal 30 is communicatively connected to an expert competent authority module 37 for the expert to notify the evaluation results. The human matchmaking terminal 50 is communicatively connected to the server 10, the database 20, each expert terminal 30, and each client terminal 40 for matchmaking the clients to suitable experts. The human matchmaking terminal 50 includes a franchise management module 51, a professionalism verification module 52, a matchmaking module 53, a suitability analysis module 54, a profit sharing module 55, an evaluation feedback module 56, and an advertising module 57.

[0041] The franchise management module 51 is used to recruit new experts and clients to join the system through a passive franchise channel and an active franchise channel. The passive franchise channel includes the website of the system set up on the Internet for each expert and each client to join the system by themselves; and the computer program of the system provided on the computer side or the mobile application program (Application, APP) of the system provided on the mobile phone side for each expert and each client to download and use by themselves. The active franchise channel is to continuously collect the relevant information of each expert and each client in various fields through a web crawler program on the Internet, and automatically send emails and / or text messages inviting them to join the system, which include the website link of the system and / or the download link of the computer program / mobile application program of the system. Through the passive franchise channel and the active franchise channel of the franchise management module 51, the system can not only passively increase the number of experts / clients like some existing online matchmaking platforms, but also actively invite other experts / clients who have not joined actively to join the system, thereby increasing the possible matchmaking objects of the entire matchmaking platform. On the other hand, the franchise management module 51 also includes an incentive mechanism, that is, when an expert / client invites a new expert / client to join the system, an invitation reward (such as cash back, discount back, etc.) is given to increase the motivation of the expert / client to invite others to join.

[0042] The professionalism verification module 52 is communicatively connected to the database 20 and the server of at least one third-party institution (not shown in the figure) for transmitting the professional certificate materials uploaded by the experts to the server of the third-party institution for comparison. The third-party institution may include, but is not limited to, public administrative organs with credibility, public judicial organs, private inspection organs, professional unions, etc. By comparing the professional certificate materials with the real certificate materials in the server of the third-party institution, the authenticity and validity of the professional certificate materials of the experts can be judged, providing an objective expert ability verification mechanism.

[0043] The matching module 53 is communicatively connected to the database 20 and the expert query module 42 of the customer terminal 40, and is used to calculate the expert query conditions uploaded by the customer terminal 40 to the database 20, the expert profiles, professional certification materials, professional services, and service fees corresponding to each expert in the database 20 through a matching algorithm, and transmit an appropriate list of experts to the customer terminal 40 for the customer to select according to this condition. After the customer terminal 40 confirms to match with a certain expert and pays the service fee, the matching module 53 generates a corresponding matching record and uploads it to the database 20 for storage.

[0044] The fitness analysis module 54 is an AI learning model, communicatively connected to the matching module 53, and is used to automatically analyze the types of experts that the customer may prefer through an AI algorithm based on each expert query condition uploaded by the customer terminal 40 each time before and the relevant materials of the finally selected expert, and then adjust the matching algorithm applied by the matching module 53 to the customer.

[0045] The profit sharing module 55 is used to distribute the service fees received from the customer terminal 40 to the expert terminal 30 and the human matching terminal 50 according to a predetermined profit sharing ratio. The predetermined profit sharing ratio is analyzed by an AI algorithm for the operating costs of the system, the service costs of experts, service evaluations, service resumes, etc., and accordingly, the ratio corresponding to each expert is determined. The profit sharing module 55 can also dynamically adjust the predetermined profit sharing ratio at any time through the AI algorithm according to each expert review and matching record received by the expert.

[0046] The evaluation feedback module 56 is communicatively connected to the database 20, and is used to extract and analyze a pair of expert reviews left by each customer terminal 40 for the services provided by each expert terminal 30. When the evaluation feedback module 56 determines that the number of low evaluation reviews received by any expert exceeds a first threshold, the evaluation feedback module 56 will automatically reduce the probability of the expert appearing in the list of experts displayed by the expert query module 42, and will correspondingly adjust the predetermined profit sharing ratio corresponding to the expert. When the number of low evaluation reviews received by the expert exceeds a second threshold, the evaluation feedback module 56 will automatically remove the expert profile of the expert from the database 20 and terminate the cooperation relationship with the expert terminal 30.

[0047] Thus, the system can effectively eliminate unqualified experts and at the same time encourage experts to provide better services. On the other hand, the evaluation feedback module 56 will also automatically extract and analyze a pair of customer comments left by each expert terminal 30 for each customer terminal 40. When the evaluation feedback module 56 determines that the number of low evaluation comments received by any customer exceeds a third threshold, the evaluation feedback module 56 will automatically increase the service fee of the customer by a specific percentage. When the number of low evaluation comments received by the customer exceeds a fourth threshold, the evaluation feedback module 56 will automatically remove the customer information related to the customer from the database 20 and terminate the cooperation relationship with the customer terminal 40. Thus, the system can effectively eliminate unqualified customers.

[0048] The advertising module 57 is communicatively connected to at least one social media (such as Facebook, Youtube, Instagram...). When the expert terminal 30 pays an advertising fee, it is used to place an advertising message corresponding to the expert on at least one social media to increase its exposure rate. Specifically, the advertising module 57 can provide exposures of different advertising positions, advertising time periods, and advertising sizes, consider advertising positioning, content review, effect tracking, and provide time period control and advertising priority, and price the above content on demand, so that experts can freely choose the advertising fee according to their needs to ensure flexible and effective advertising management.

[0049] According to the above structural configuration, the practical application examples of the professional integration system provided by the present invention are as follows:

[0050] Please refer to Figure 4 as shown in Figure 4 the first example of the present invention (taking the matching of doctors / patients as an example): In this example, the expert is a doctor (the doctor referred to here is a person with medical expertise, which can be replaced by an anesthesiologist, a registered professional nurse, a registered midwife, a traditional Chinese medicine doctor, a psychiatrist, a dentist, an orthodontist, a veterinarian, a physical therapist, an occupational therapist, an audiologist, an occupational therapist, a speech therapist, a pharmacist, a nutritionist, an optometrist, a psychologist, a medical laboratory scientist, a radiographer in other embodiments). The expert can upload his basic information and resume information (currently working in which hospital, previous hospitals and positions, surgical experience...) through the expert information upload module 31 of the expert terminal 30 and upload his doctor's license through the professional certificate upload module 32. At this time, the matching human resources terminal 50 will verify whether it is the person himself and verify the authenticity of the license through the professionalism verification module 52 to ensure the professionalism of the doctor.

[0051] Next, the doctor can upload the professional services to be matched (consultation, medical consultation, surgery, etc.) and the corresponding service fees through the professional service management module 33. On the other hand, the customer is a patient with a special disease and needs to register for medical treatment at the hospital regularly. At this time, the patient can upload the expert query conditions (location, disease type, doctor's seniority, service fee range, etc.) through the expert query module 42 of the customer terminal 40, and automatically generate a suitable list of experts through the matching module 53. Assuming that the list of experts includes the above-mentioned doctor, the patient can further view the doctor's basic information, resume information, certificates, professional services and service fees to decide whether to match with him / her.

[0052] After the patient decides to select a doctor for the professional service of consultation, the patient can pay the service fee through the transaction management module 43, and after contacting the doctor, perform the online / on-site consultation action. This matching record is considered completed and recorded in the database 20 for storage. After the professional service is completed, the doctor uploads the professional evaluation results of the patient to the database 20 through the expert evaluation result module 35. The expert evaluation result module 35 records the doctor's prescription and medical advice; the expert terminal 30 is communicatively connected to an expert competent authority module 37 for the doctor to report the evaluation results. The competent authority module 37 includes the Health Commission, pharmacy, etc.

[0053] In addition, the patient can evaluate the doctor through the pair of expert evaluation module 44, and the doctor can also evaluate the patient through the pair of customer evaluation module 34. The evaluations of both parties will be displayed in the profiles of both parties during subsequent matching for reference by experts / customers who will match with the doctor or patient in the future.

[0054] Please refer to Figure 5 as shown in Figure 5 The second example of the present invention (taking a lawyer / client as an example): In this example, the expert is a lawyer (the lawyer referred to here is a person with legal expertise, and in other embodiments, it can be replaced by a solicitor (lawyer), barrister (barrister), judge, legal advisor). The lawyer can upload his / her basic information and resume information (currently working in which law firm, previous law firms / courts and positions held, litigation experience, etc.) through the expert information upload module 31 of the expert terminal 30, and upload his / her lawyer's license through the professional certificate upload module 32. At this time, the matching human resources terminal 50 will verify whether it is the person himself / herself, and verify the authenticity of the license through the professionalism verification module 52 to ensure the professionalism of the lawyer.

[0055] Next, the lawyer can upload the professional services to be matched (consultation, accompanying the production of transcripts, first / second / third instance defense or prosecution agency...) and the corresponding service fees through the professional service management module 33. On the other hand, the client is a party who needs to conduct a criminal lawsuit. At this time, the party can upload the expert query conditions (location, type of lawsuit, lawyer's seniority, service fee range...) through the expert query module 42 of the client terminal 40, and automatically generate a list of suitable experts through the matching module 53. Assuming that the list of experts includes the above-mentioned lawyer, the party can refer to the lawyer's basic information, resume information, certificates, professional services and service fees to decide whether to match with him / her.

[0056] After the party decides to select a lawyer, the service fee can be paid through the transaction management module 43, and after contacting the lawyer, the subsequent lawsuit agency can be carried out. This matching record is considered completed and recorded in the database 20 for storage. After the professional service is completed, the lawyer uploads the professional evaluation result corresponding to the party to the database 20 through the expert evaluation result module 35. The expert evaluation result module 35 records the case information and litigation materials; the expert terminal 30 is communicatively connected to an expert competent authority module 37 for the lawyer to notify the evaluation result. The competent authority module 37 includes the Ministry of Justice, the court, etc.

[0057] In addition, the party can evaluate the lawyer through the one-to-one expert evaluation module 44, and the lawyer can also evaluate the party through the one-to-one client evaluation module 34. The evaluations of both parties will be displayed on the profiles of both parties during subsequent matching for reference by experts / clients who will conduct matching with the lawyer or the party in the future.

[0058] Please refer to Figure 6 as shown Figure 6 For the third example of the present invention (taking an accountant / accounting staff of a certain company as an example): In this example, the expert is an accountant (the accountant referred to here is a person with a professional background in financial accounting, which can be replaced by a tax agent, auditor, actuary, financial analyst, statistician, economist in other embodiments). The accountant can upload his / her basic information and resume information (currently working in which accounting firm, previous accounting firms and positions, accounting experience...) through the expert information upload module 31 of the expert terminal 30, and upload his / her accountant certificate through the professional certificate upload module 32. At this time, the matching human resources terminal 50 will verify whether it is the person himself / herself, and verify the authenticity of the license through the professionalism verification module 52 to ensure the professional level of the accountant.

[0059] Next, the accountant can upload the professional services to be matched (including but not limited to accounting processing, tax processing, and financial processing) and the corresponding service fees through the professional service management module 33. On the other hand, a client is an accountant of a company and needs to organize the internal and external accounts of the company. At this time, the accountant can upload the expert query conditions (including but not limited to the company's location, the company's business scale, the accountant's years of experience, and the service fee range) through the expert query module 42 of the client terminal 40, and automatically generate a list of suitable experts through the matching module 53. Assuming that the list of experts just includes the above-mentioned accountant, the accountant can refer to the accountant's basic information, resume information, certificates, professional services, and service fees to decide whether to match with him / her.

[0060] When the accountant decides to select an accountant, he / she can pay the service fee through the transaction management module 43, contact the accountant, and then proceed with the subsequent internal and external account processing. This matching record is considered complete and recorded in the database 20 for storage. After the professional service is completed, the accountant uploads the professional evaluation results of the accountant corresponding to the client to the database 20 through the expert evaluation result module 35. The expert evaluation result module 35 records accounts, tax information, etc.; the expert terminal 30 is communicatively connected to an expert competent authority module 37 for the accountant to report the evaluation results. The competent authority module 37 includes the Ministry of Finance, etc.

[0061] In addition, the accountant can evaluate the accountant through the one-on-one expert evaluation module 44, and the accountant can also evaluate the accountant (or the company where he / she works) through the one-on-one client evaluation module 34. The evaluations of both parties will be displayed on the profiles of both parties during subsequent matching for reference by experts / clients who will conduct subsequent matching with the accountant or the accountant.

[0062] Please refer to Figure 7 as shown Figure 7 For the fourth example of the present invention (taking the matching of a home manager / care recipient as an example): In this example, the expert is a home care nurse who can upload his / her basic information and resume information (nursing unit manager, case conditions of previous nurses, previous home care institutions worked for, home care practical experience, such as wound care, general physical examination, replacement or removal of nasogastric tubes, indwelling urinary catheters or tracheostomy tubes, drug injection, specimen collection and delivery to the hospital for inspection...) through the expert information upload module 31 of the expert terminal 30, and upload his / her relevant nurse license through the professional certificate upload module 32. At this time, the matching human resources terminal 50 will verify whether it is the person himself / herself and verify the authenticity of the license through the professionalism verification module 52 to ensure the professionalism of the home manager.

[0063] Subsequently, the home care nurse can upload the professional services to be matched (wound care, general physical examination, replacement or removal of nasogastric tubes, indwelling urinary catheters or tracheotomy tubes, drug injection, specimen collection on behalf of the patient and sending it to the hospital for examination…) and the corresponding service fees through the professional service management module 33. On the other hand, the customer is a care recipient with special care conditions or special diseases, and requires regular wound treatment, physical examination, replacement or removal of catheters, or going to the hospital for registration and consultation. At this time, the care recipient can upload the expert query conditions (location, types of diseases that can be cared for, years of experience of home care nurses, service fee range…) through the expert query module 42 of the customer terminal 40, and automatically generate a list of suitable experts through the matching module 53. Assuming that the list of experts includes the above-mentioned home care nurses, the care recipient can further view the basic information, resume information, certificates, professional services and service fees of the home care nurses to decide whether to match with them.

[0064] After the care recipient decides to select a home care nurse for professional care services, the service fees can be paid through the transaction management module 43, and after contacting the home care nurse, an online / on-site interview can be conducted. This matching record is considered completed and recorded in the database 20 for storage. After the professional service is completed, the home care nurse uploads the professional evaluation results corresponding to the care recipient to the database 20 through the expert evaluation result module 35. The expert evaluation result module 35 records the home care medical order form, the acceptance application form of the Health Commission, the extended care application form, etc.; the expert terminal 30 is communicatively connected to an expert competent authority module 37 for the accountant to notify the evaluation results. The competent authority module 37 includes the Health Commission and the like.

[0065] In addition, the care recipient can evaluate the home care nurse through the one-on-one expert evaluation module 44, and the home care nurse can also evaluate the care recipient through the one-on-one customer evaluation module 34. The evaluations of both parties will be displayed in the profiles of both parties during subsequent matching, for reference by experts / customers who will conduct matching with the home care nurse or care recipient in the future.

[0066] It should be specifically noted that the above-mentioned personnel matching system is mainly used for matchmaking when the customer has a need, but the present invention is not limited thereto. In a preferred embodiment of the present invention, the human matchmaking terminal 50 further includes a potential matchmaking module 58. The potential matchmaking module 58 is an AI learning model used to analyze the basic information of the customer, the relevant expert query conditions, and the matchmaking records through AI algorithms, and then generate a personalized list of potential expert recommendations. The customer terminal 40 further includes a potential expert push module 45, which is communicatively connected to the potential matchmaking module 58, used to receive the list of potential expert recommendations from the potential matchmaking module 58 and display it on the customer terminal 40 in the form of APP push notifications or SMS push messages for the customer to refer to. By pushing the list of potential expert recommendations to each customer in a personalized manner, the initiative of each customer to participate in matchmaking can be effectively increased, as well as the probability of successful matchmaking between both parties.

[0067] For example, if the customer is a patient with long-term back pain and has used this system for multiple records of matchmaking with rehabilitation physicians, the potential matchmaking module 58 will analyze the relevant medical history of the patient and the relevant information of the rehabilitation physicians, judge their treatment preferences, and sort out a list of potential expert recommendations including other suitable rehabilitation physicians, physical therapists, masseurs, osteopaths, etc., and push it to the patient through the potential expert push module 45 of the customer terminal 40. In this way, when the patient has back pain again, in addition to being able to match with a rehabilitation physician, the patient can also actively choose the help of a physical therapist, masseur or osteopath, which can speed up the time for the patient to recover from the illness and also give other experts the opportunity for matchmaking.

[0068] On the other hand, the potential matchmaking module 58 can also analyze the basic information of each expert, the relevant professional services, and the matchmaking records, and then generate a personalized list of potential customer recommendations. The expert terminal 30 further includes a potential expert push module 36, which is communicatively connected to the potential matchmaking module 58, used to receive the list of potential customer recommendations from the potential matchmaking module 58 and display it on the expert terminal 30 in the form of APP push notifications or SMS push messages for each expert to refer to. By pushing the list of potential customer recommendations to each expert in a personalized manner, the initiative of each expert to participate in matchmaking can be effectively increased, as well as the probability of successful matchmaking between both parties.

[0069] For example, if the expert is an accountant and has used this system to record multiple matches with electronics-related companies in a certain region, the potential matching module 58 will automatically determine that the expert prefers to match with electronics-related companies, and further compile a list of potential customer recommendations that includes other electronics-related companies, information-related companies, electrical machinery-related companies, etc. in the region, and push it to the accountant through the potential customer push module 36 of the expert terminal 30. In this way, the accountant can actively contact the companies on the potential customer recommendation list through this system, thereby increasing the possibility of matching. Through the above-mentioned potential matching module 58, potential expert push module 45 and potential customer push module 36, the problem that experts could only wait for customers to actively seek help in the past can be solved, and further increase the opportunities and possibilities of matching between more customers and experts.

[0070] In summary, the professional integration system provided by the present invention has the following advantages:

[0071] (1) Professional verification mechanism for experts: The authenticity and effectiveness of the expert's resume and certificates can be verified through the professional verification module, effectively eliminating the possibility of unqualified experts deceiving customers.

[0072] (2) Improve the matching success rate through adaptability analysis: Through the adaptability analysis module, conduct adaptability analysis between experts and customers, and provide personalized expert recommendations based on data using AI intelligent algorithms, making it easier for customers to find suitable experts.

[0073] (3) Rating and review services: After the service is over, customers and experts can rate and review each other. These ratings and reviews will help other customers or experts better select suitable matching objects, and at the same time can promote the formation of a better cooperation relationship between both parties.

[0074] Personalized push of potential matching lists to actively increase the matching opportunity: Through the potential matching module, conduct big data analysis on the matching records, and then generate personalized potential expert recommendation lists / potential customer recommendation lists and push them to customers / experts, enabling customers / experts to actively conduct the next match and increasing the matching opportunity between both parties.

[0075] The above are the preferred embodiments and design diagrams of the present invention. However, the preferred embodiments and design diagrams are only examples and are not used to limit the scope of the rights of the present invention's technology. Those who implement with equivalent technical means or within the scope of rights covered by the "claims" do not depart from the scope of the present invention and are within the scope of the applicant's rights.

Claims

1. A professional integration system, characterized in that, It includes: A server; A database installed in the server; At least one expert terminal communicatively connected to the server for an expert to operate on a first digital device; the expert terminal includes: An expert data upload module communicatively connected to the database for uploading an expert's expert data to the database for storage; A professional certificate upload module communicatively connected to the database for uploading the professional certificate data of the expert to the database for storage; and A professional service management module communicatively connected to the database for uploading at least one professional service that the expert wants to match and a service fee corresponding to the professional service to the database for storage; At least one customer terminal communicatively connected to the server for a customer to operate on a second digital device; the customer terminal includes: A customer data upload module communicatively connected to the database for uploading the customer's customer data to the database for storage; An expert query module communicatively connected to the database for uploading at least one expert query condition to the database for storage and selecting at least one of the experts that meet the expert query condition; and A transaction management module for the customer terminal to pay the service fee corresponding to one of the professional services of the expert after selecting a certain expert to obtain the professional service of the expert; and A human resource matching terminal communicatively connected to the server, the expert terminal and the customer terminal; the human resource matching terminal includes: A matching module communicatively connected to the database and the customer terminal for searching for suitable experts from the database according to the expert query conditions uploaded by the customer terminal and generating a list of experts to be transmitted to the expert query module of the customer terminal for selection; and A suitability analysis module communicatively connected to the database and the matching module for analyzing the expert query conditions uploaded by the customer terminal each time through an AI algorithm to judge the experts that the customer may prefer and adjusting the list of experts transmitted by the matching module accordingly.

2. The professional integration system according to claim 1, wherein The human resource matching terminal further includes a potential matching module communicatively connected to the database for analyzing the relevant matching records of the customer terminal through an AI algorithm to generate a corresponding list of potential expert recommendations; the customer terminal further includes a potential expert push module communicatively connected to the potential matching module for receiving the list of potential expert recommendations and displaying them in the form of APP push notifications or SMS push messages on the customer terminal.

3. The professional integration system according to claim 1, characterized in that, The human resource matching terminal further includes a potential matching module communicatively connected to the database for analyzing the relevant matching records of the expert terminal through an AI algorithm to generate a corresponding list of potential customer recommendations; the expert terminal further includes a potential customer push module communicatively connected to the potential matching module for receiving the list of potential customer recommendations and displaying them in the form of APP push notifications or SMS push messages on the expert terminal.

4. The professional integration system according to claim 1, characterized in that, The human matchmaking terminal further includes a professionalism verification module, which is communicatively connected to the expert database and the servers of at least one third-party institution, and is used to transmit the professional certificate information to the servers of the third-party institution for comparison, so as to judge the authenticity of the professional certificate information.

5. The professional integration system according to claim 1, characterized in that The expert terminal further includes an expert evaluation result module, which is communicatively connected to the database and is used for the expert to upload a pair of professional evaluation results corresponding to the customer to be stored in the database; the expert terminal is communicatively connected to an expert competent authority module, which is used for the expert to notify the evaluation results.

6. The professional integration system according to claim 1, characterized in that, The customer terminal further includes a pair of expert evaluation modules, which are communicatively connected to the database and are used for each customer to upload a pair of expert comments corresponding to the expert to be stored in the database; the human matchmaking terminal further includes an evaluation feedback module, which is communicatively connected to the database and is used to analyze each pair of expert comments corresponding to the expert; when the evaluation feedback module determines that each pair of expert comments corresponding to the expert is lower than a first threshold, the evaluation feedback module reduces the probability of the expert appearing in the expert list.

7. The professional integration system according to claim 6, characterized in that When the evaluation feedback module determines that each pair of expert comments corresponding to the expert is lower than a second threshold, the evaluation feedback module removes all the expert information and the professional certificate information corresponding to the expert in the database.

8. The professional integration system according to claim 1, wherein The expert terminal further includes a pair of customer evaluation modules, which are communicatively connected to the database and are used for each expert to upload a pair of customer comments corresponding to the customer to be stored in the database; the human matchmaking terminal further includes an evaluation feedback module, which is communicatively connected to the database and is used to analyze each pair of customer comments corresponding to the customer. When the evaluation feedback module determines that each pair of customer comments corresponding to the customer is lower than a third threshold, the evaluation feedback module increases the service fee that the customer needs to pay subsequently.

9. The professional integration system according to claim 8, characterized in that, When the evaluation feedback module determines that each pair of customer comments corresponding to the customer is lower than a fourth threshold, the evaluation feedback module removes all the customer information corresponding to the customer in the database.

10. The professional integration system according to claim 1, characterized in that, The human matchmaking terminal further includes a profit sharing module, which is used to distribute the service fee received from the customer terminal to the expert terminal and the human matchmaking terminal according to a predetermined profit sharing ratio.

11. The professional integration system according to claim 1, characterized in that, The human matchmaking terminal further includes an advertising module, which is communicatively connected to at least one of the social media, and is used to place an advertisement of the expert on the social media when the expert pays an advertising fee.

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