School friend information management method and device, equipment and medium

Abstract

The invention relates to the technical field of information management, and provides a school friend information management method and device, equipment and a medium, and the method comprises the steps: obtaining a plurality of potential school friend lists of a target school; combining all the potential school friend lists, and performing duplicate removal based on all the identity information to obtain a plurality of final school friends of the target school; classifying all the final school friends according to the identity information of all the final school friends to obtain a multi-class high-quality school friend list; obtaining identity information of a to-be-confirmed school friend, obtaining a plurality of matching factors based on the identity information, and calculating a matching degree between the identity information of the to-be-confirmed school friend and the identity information of each target school friend by using all the matching factors; the matching labels of the to-be-confirmed school friends are obtained according to all the matching degrees, the identity information of the to-be-confirmed school friends is stored in the school friend database of the target school according to the matching labels, and the method can improve the recognition accuracy of high-quality school friends and the efficiency of school friend information management.

Description

Technical Field

[0001] The present application relates to the field of information management technology, and in particular to an alumni information management method, device, equipment and medium. Background Art

[0002] Traditionally, the data collection of high-quality alumni mainly relies on manual work, through scattered and unsystematic methods such as telephone, email, social media, and event organization. This is inefficient, time-consuming, and incomplete, resulting in low accuracy in identifying high-quality alumni and low efficiency in alumni information management. Summary of the invention

[0003] The present application provides an alumni information management method, apparatus, device and medium, which can solve the problems of low accuracy in identifying high-quality alumni and low efficiency in alumni information management.

[0004] In a first aspect, an embodiment of the present application provides an alumni information management method, the alumni information management method comprising: Obtain multiple potential alumni lists of the target school; each potential alumni list includes identity information of multiple alumni of the target school; Merge all potential alumni lists and remove duplicates based on all identity information to obtain multiple final alumni of the target school; Classify all final alumni according to their identity information to obtain multiple lists of high-quality alumni; the list of high-quality alumni includes multiple target alumni; Obtaining identity information of the alumni to be confirmed, obtaining multiple matching factors based on the identity information, and using all matching factors to calculate the matching degree between the identity information of the alumni to be confirmed and the identity information of each target alumni; The matching tags of the alumni to be confirmed are obtained according to all matching degrees, and the identity information of the alumni to be confirmed is stored in the alumni management database of the target school according to the matching tags; the matching tags are one of high-quality alumni, non-alumni, and suspected high-quality alumni.

[0005] Optional, identification information includes the alumni’s name; All potential alumni lists are merged and deduplicated based on all identity information to obtain multiple final alumni of the target school, including: Merge all potential alumni lists to obtain a combined list; For each alumni in the combined list, follow these steps: Identify duplicate alumni with the same name as the alumni from all other alumni on the combined list; If the number of duplicate alumni is greater than 0, all duplicate alumni are removed from the merged list, and the alumni are taken as the final alumni; If the number of repeated alumni is equal to 0, the alumni will be regarded as the final alumni.

[0006] Optionally, the identity information also includes the alumni’s occupational information; All final alumni are classified according to their identity information, and multiple lists of high-quality alumni are obtained, including: For each final alumni, follow these steps: If the career information of the final alumni includes relevant information about a career in politics, the final alumni will be included as a target alumni in the first category of the high-quality alumni list; If the career information of the final alumni includes relevant information about a career in the business world, the final alumni will be included as a target alumni in the second category of the high-quality alumni list; If the career information of the final alumni includes relevant information about a career in academia, the final alumni will be included as a target alumni in the third category of the list of high-quality alumni; If the final alumni's career information does not include relevant information on political careers, business careers, or academic careers, the final alumni will be included in the fourth category of high-quality alumni list.

[0007] Optionally, the identity information also includes the name of the college, the name of the major, gender information, year of admission, and year of graduation; Based on the identity information, multiple matching factors are obtained, and the matching degree between the identity information of the alumni to be confirmed and the identity information of each target alumni is calculated using all matching factors, including: Take name, college name, major name, gender information, year of admission and year of graduation as matching factors, and set corresponding matching weights for each matching factor; For each target alumnus, all matching factors and all matching weights are used to calculate the matching degree between the identity information of the alumnus to be confirmed and the identity information of the target alumnus.

[0008] Optionally, all matching factors and all matching weights are used to calculate the matching degree between the identity information of the alumni to be confirmed and the identity information of the target alumni, including: By formula: Calculate the matching degree between the identity information of the alumni to be confirmed and the identity information of the target alumni ; in, Indicates The matching weight of the matching factor, Indicates the difference between the identity information of the alumni to be confirmed and the identity information of the target alumni. The matching degree of the matching factors, Indicates the number of matching factors.

[0009] Optionally, the identity information of the alumni to be confirmed is stored in the alumni management database of the target school according to the matching tags, including: If the matching label of the alumni to be confirmed is a high-quality alumni, the identity information of the alumni to be confirmed will be stored in the alumni management database of the target school.

[0010] In a second aspect, an embodiment of the present application provides an alumni information management device, including: An acquisition module is used to acquire multiple potential alumni lists of a target school; each potential alumni list includes identity information of multiple alumni of the target school; The merging module is used to merge all potential alumni lists and remove duplicates based on all identity information to obtain multiple final alumni of the target school; A classification module is used to classify all final alumni according to their identity information to obtain multiple categories of high-quality alumni lists; the high-quality alumni list includes multiple target alumni; A matching degree calculation module is used to obtain the identity information of the alumni to be confirmed, obtain multiple matching factors based on the identity information, and use all the matching factors to calculate the matching degree between the identity information of the alumni to be confirmed and the identity information of each target alumni; The storage module is used to obtain the matching tags of the alumni to be confirmed according to all matching degrees, and store the identity information of the alumni to be confirmed in the alumni management database of the target school according to the matching tags; the matching tags are one of high-quality alumni, non-alumni, and suspected high-quality alumni.

[0011] In a third aspect, an embodiment of the present application provides a terminal device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the alumni information management method when executing the computer program.

[0012] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, which stores a computer program, and when the computer program is executed by a processor, the above-mentioned alumni information management method is implemented.

[0013] The above solution of the present application has the following beneficial effects: In an embodiment of the present application, multiple potential alumni lists of the target school are obtained, and then all potential alumni lists are merged and deduplicated based on all identity information to obtain multiple final alumni of the target school, and then all final alumni are classified according to the identity information of all final alumni to obtain multiple categories of high-quality alumni lists, and then the identity information of the alumni to be confirmed is obtained, and multiple matching factors are obtained based on the identity information, and all matching factors are used to calculate the matching degree between the identity information of the alumni to be confirmed and the identity information of each target alumni, and finally the matching tags of the alumni to be confirmed are obtained according to all matching degrees, and the identity information of the alumni to be confirmed is stored in the alumni management database of the target school according to the matching tags. Among them, by obtaining the identity information of the alumni and deduplicating, the data duplication is reduced, the subsequent information processing efficiency is improved, the alumni are classified, the alumni's professional information can be analyzed, and professional information is provided for the establishment of the alumni database, multiple matching factors are obtained from the identity information, and the matching degree is calculated, the accuracy of the matching degree is improved, and then the accuracy of identifying the alumni to be confirmed is improved, and the identity information of the alumni to be confirmed is stored based on the matching tags, and the automatic storage of data in the alumni management database is realized, and the efficiency of alumni information management is improved.

[0014] Other beneficial effects of the present application will be described in detail in the subsequent specific implementation section. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0016] Figure 1 A flowchart of an alumni information management method provided in one embodiment of the present application; Figure 2 A schematic diagram of the structure of an alumni information management device provided in one embodiment of the present application; Figure 3 A schematic diagram of the structure of a terminal device provided in one embodiment of the present application. DETAILED DESCRIPTION

[0017] In the following description, specific details such as specific system structures, technologies, etc. are provided for the purpose of illustration rather than limitation, so as to provide a thorough understanding of the embodiments of the present application. However, it should be clear to those skilled in the art that the present application may also be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to prevent unnecessary details from obstructing the description of the present application.

[0018] It should be understood that when used in the present specification and the appended claims, the term "comprising" indicates the presence of described features, wholes, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components and / or combinations thereof.

[0019] It should also be understood that the term “and / or” used in the specification and appended claims refers to any and all possible combinations of one or more of the associated listed items, and includes these combinations.

[0020] As used in the specification and appended claims of this application, the term "if" can be interpreted as "when" or "uponce" or "in response to determining" or "in response to detecting", depending on the context. Similarly, the phrase "if it is determined" or "if [described condition or event] is detected" can be interpreted as meaning "uponce it is determined" or "in response to determining" or "uponce [described condition or event] is detected" or "in response to detecting [described condition or event]", depending on the context.

[0021] In addition, in the description of the present application specification and the appended claims, the terms "first", "second", "third", etc. are only used to distinguish the descriptions and cannot be understood as indicating or implying relative importance.

[0022] References to "one embodiment" or "some embodiments" etc. described in the specification of this application mean that one or more embodiments of the present application include specific features, structures or characteristics described in conjunction with the embodiment. Therefore, the statements "in one embodiment", "in some embodiments", "in some other embodiments", "in some other embodiments", etc. that appear in different places in this specification do not necessarily refer to the same embodiment, but mean "one or more but not all embodiments", unless otherwise specifically emphasized in other ways. The terms "including", "comprising", "having" and their variations all mean "including but not limited to", unless otherwise specifically emphasized in other ways.

[0023] In order to solve the problems of low accuracy in identifying high-quality alumni and low efficiency in alumni information management, an embodiment of the present application provides an alumni information management method, which obtains multiple potential alumni lists of a target school, then merges all the potential alumni lists, and performs deduplication based on all identity information to obtain multiple final alumni of the target school, and then classifies all the final alumni according to their identity information to obtain multiple categories of high-quality alumni lists, and then obtains the identity information of the alumni to be confirmed, obtains multiple matching factors based on the identity information, and uses all the matching factors to calculate the matching degree between the identity information of the alumni to be confirmed and the identity information of each target alumni, and finally obtains the matching tags of the alumni to be confirmed according to all the matching degrees, and stores the identity information of the alumni to be confirmed in the alumni management database of the target school according to the matching tags. Among them, by obtaining the identity information of alumni and deduplicating it, data duplication is reduced, the efficiency of subsequent information processing is improved, alumni are classified, and the career information of alumni can be analyzed to provide career information for the establishment of an alumni database. Multiple matching factors are obtained from the identity information, and the matching degree is calculated, which improves the accuracy of the matching degree, thereby improving the accuracy of identifying the alumni to be confirmed. The identity information of the alumni to be confirmed is stored based on matching tags, which realizes the automatic storage of data in the alumni management database and improves the efficiency of alumni information management.

[0024] Next, an exemplary description of the alumni information management method provided in this application is given.

[0025] like Figure 1 As shown, the alumni information management method provided by this application includes the following steps: Step 11, obtain multiple lists of potential alumni of the target school.

[0026] Each of the above potential alumni lists includes the identity information of multiple alumni of the target school (such as name, major, occupation, etc.). The above target school is a school that needs to manage alumni information, such as a university. The above alumni are high-quality alumni who meet the preset conditions (such as alumni who have been working for more than 5 years).

[0027] In some embodiments of the present application, multiple lists of potential alumni can be obtained by accessing a learning library, searching a search engine, and the like.

[0028] Exemplarily, multiple potential alumni lists include student database lists (obtained by accessing the student database of the target school), lists obtained by searching a search engine (such as Baidu) (by searching for keywords such as "famous alumni of a certain university" in the search engine), potential corporate executive alumni lists, and alumni lists provided by the school or other channels. When obtaining a potential corporate executive alumni list, first match the student database list with the registered alumni list (registered alumni refer to alumni who have registered in the school's alumni association system), and determine a unique matching relationship through several fields such as name, college, major, class, and year of enrollment. After a successful match, assign the registered alumni's company name to the only corresponding alumni in the student database. At this time, the alumni part of the student database list carries the company name information. Then perform name matching: match the student database list with the list of corporate executives (must exist in the corporate information database, including corporate executive information), match them according to the principle of identical names, and finally perform company name matching: if there is a company name in the record that successfully matches the name, it will be further matched with the company name of the corporate executive. If the match is successful, it will be included in the list of potential corporate executive alumni, and if the match is unsuccessful, it will be discarded; if there is no company name in the record that successfully matches the name, the company name of the corporate executive will be directly assigned to the alumni and stored in the suspected company name field, and the alumni list will be included in the list of potential corporate executive alumni (in this case, it is not certain whether the alumni are corporate executives, so the possible company names can only be recorded first, and subsequent manual confirmation will be performed).

[0029] It is worth mentioning that obtaining lists of potential alumni through various means can improve the completeness and richness of the data and help find as many high-quality alumni of the target school as possible.

[0030] Step 12: merge all potential alumni lists and remove duplicates based on all identity information to obtain multiple final alumni of the target school.

[0031] The above identification information includes the name of the alumni.

[0032] Specifically, firstly, all potential alumni lists are merged to obtain a merged list; Then, for each alumni in the merged list, perform the following steps: Duplicate alumni with the same name as the alumni were identified from all other alumni in the combined list.

[0033] If the number of duplicate alumni is greater than 0, all duplicate alumni are removed from the merged list and the alumni are taken as the final alumni.

[0034] If the number of repeated alumni is equal to 0, the alumni will be regarded as the final alumni.

[0035] It should be noted that when removing all duplicate alumni from the merged list, manual identification is required to determine whether the identity information of the duplicate alumni is different from the identity information of the alumni except for the name, so as to identify whether the duplicate alumni is another alumnus with the same name as the alumni. If so, the duplicate alumni will not be processed, and the duplicate alumni will be treated as the alumni in the above-mentioned "determining duplicate alumni with the same name as the alumni from all other alumni in the merged list" for deduplication; otherwise, the duplicate alumni will be removed. If the identity information of the duplicate alumni contains a company name or a suspected company name, the company name or the suspected company name needs to be retained and saved in the identity information of the final alumni corresponding to the duplicate alumni.

[0036] It is worth mentioning that by merging and deduplicating the potential alumni list through the above steps, data integration and preprocessing are achieved, the quality of alumni data is improved, and duplicate data is reduced, which facilitates improving the efficiency of subsequent processing steps.

[0037] Step 13, classify all final alumni according to their identity information to obtain multiple categories of high-quality alumni lists.

[0038] The above list of high-quality alumni includes multiple target alumni. The identity information also includes the alumni's career information.

[0039] Specifically, for each final alumnus, perform the following steps: If the career information of the final alumni includes relevant information about a career in politics, the final alumni will be included as a target alumni in the first category of the high-quality alumni list; If the career information of the final alumni includes relevant information about a career in the business world, the final alumni will be included as a target alumni in the second category of the high-quality alumni list; If the career information of the final alumni includes relevant information about a career in academia, the final alumni will be included as a target alumni in the third category of the list of high-quality alumni; If the final alumni's career information does not include relevant information on political careers, business careers, or academic careers, the final alumni will be included in the fourth category of high-quality alumni list.

[0040] For example, the first category of excellent alumni list is the list of alumni in politics, the second category of excellent alumni list is the list of alumni in business, the third category of excellent alumni list is the list of alumni in academia, and the fourth category of excellent alumni list is the list of alumni in other fields.

[0041] It is worth mentioning that by classifying alumni, it is possible to analyze their career information and provide career information for alumni information management.

[0042] Step 14, obtaining the identity information of the alumni to be confirmed, obtaining multiple matching factors based on the identity information, and using all the matching factors to calculate the matching degree between the identity information of the alumni to be confirmed and the identity information of each target alumni.

[0043] The above identity information also includes college name, major name, gender information, admission year and graduation year.

[0044] In some embodiments of the present application, alumni with the same name and the same school as the target alumni can be searched on the Internet as the alumni to be confirmed, and the identity information of the alumni to be confirmed can be obtained by searching with a search engine. The above steps of obtaining multiple matching factors based on the identity information and calculating the matching degree between the identity information of the alumni to be confirmed and the identity information of each target alumni using all the matching factors are specifically as follows: In the first step, name, college name, major name, gender information, year of admission and year of graduation are used as matching factors, and corresponding matching weights are set for each matching factor.

[0045] In the second step, for each target alumnus, all matching factors and all matching weights are used to calculate the matching degree between the identity information of the alumnus to be confirmed and the identity information of the target alumnus.

[0046] Specifically, through the formula: Calculate the matching degree between the identity information of the alumni to be confirmed and the identity information of the target alumni .

[0047] in, Indicates The matching weight of the matching factor, Indicates the difference between the identity information of the alumni to be confirmed and the identity information of the target alumni. The matching degree of the matching factors, Indicates the number of matching factors.

[0048] For example, the similarity between the fields can be calculated by using cosine similarity calculation or other methods. If the similarity is greater than or equal to a preset similarity threshold, it is considered a match, and the matching degree is assigned a value of 1. If the similarity is less than the preset similarity threshold, it is considered a mismatch, and the matching degree is assigned a value of 0. The scores obtained after weighting the matching degree are shown in Table 1.

[0049] Table 1

[0050] Then the scores in the above table are accumulated, with the highest score being 100 and the lowest score being 30. In the embodiment of the above table, if the name does not match, the matching degree of the name is still recorded as 1, but the matching degrees of other matching factors are no longer calculated and are directly recorded as 0.

[0051] It is worth mentioning that by calculating the matching degree based on name, college, major, gender, year of admission and year of graduation, it is possible to effectively identify whether the alumni to be confirmed are high-quality alumni of the target school.

[0052] Step 15, obtaining the matching tags of the alumni to be confirmed according to all matching degrees, and storing the identity information of the alumni to be confirmed in the alumni management database of the target school according to the matching tags.

[0053] The above matching label is one of high-quality alumni, non-alumni, and suspected high-quality alumni.

[0054] In some embodiments of the present application, the above steps of obtaining the matching tags of the alumni to be confirmed according to all matching degrees, and storing the identity information of the alumni to be confirmed in the alumni management database of the target school according to the matching tags are specifically as follows: The first step is to obtain the matching tags of the alumni to be confirmed based on all matching degrees.

[0055] Exemplarily, the matching label can be obtained manually, or by determining the range of the matching degree value. For example, the matching degree with the largest value is used as the target matching degree. If the target matching degree is greater than the first preset matching degree, the matching label of the alumnus to be confirmed is a high-quality alumnus. If the target matching degree is less than or equal to the first preset matching degree and greater than the second preset matching degree, the matching label is a suspected high-quality alumnus (further manual confirmation is required to determine whether it is a high-quality alumnus). If the target matching degree is less than or equal to the second preset matching degree, the matching label is a non-alumni. The first preset matching degree is greater than the second preset matching degree. For example, if the first preset matching degree is 80, the second preset matching degree is 40, and the target matching degree is 71, the alumnus to be confirmed is a suspected high-quality alumnus.

[0056] The second step is to store the identity information of the alumni to be confirmed in the alumni management database of the target school according to the matching tags.

[0057] Specifically, if the matching tag of the alumni to be confirmed is a high-quality alumni, the identity information of the alumni to be confirmed is stored in the alumni management database of the target school. If the matching tag of the alumni to be confirmed is a non-alumni, the identity information of the alumni to be confirmed is removed. If the matching tag of the alumni to be confirmed is a suspected high-quality alumni, the identity information of the alumni to be confirmed is manually analyzed to determine whether the alumni to be confirmed is a high-quality alumni or a non-alumni.

[0058] For example, since the final alumni have been classified in the previous step, for ease of management, when storing the identity information of the alumni to be confirmed in the alumni management database, the identity information of the alumni to be confirmed can be stored in the storage area corresponding to the occupational category of the high-quality alumni list in the alumni management database according to the high-quality alumni list to which the target alumni who have the greatest match with the alumni to be confirmed belong.

[0059] It should be noted that the above steps realize the matching and storage of alumni to be confirmed. In actual application, the above steps can be used to automatically match and store a large number of alumni to be confirmed, quickly expand the number of identity information entries in the alumni management database, and provide an information-rich alumni management database.

[0060] Exemplarily, after obtaining the alumni management database, the alumni management database can be updated once a month, and multiple potential alumni lists are checked each month to see if there are new entries on the lists. Whether to update the data is determined based on all the check results: if there are no new entries in multiple potential alumni lists, no update operation is performed; if there are new entries in multiple potential alumni lists, the new entries (identity information of the new alumni) are first merged and deduplicated by name to obtain multiple final alumni for the month, and then the alumni management database is updated according to the above steps 13 to 15.

[0061] It is worth mentioning that by obtaining the identity information of alumni and deduplicating it, data duplication is reduced, the efficiency of subsequent information processing is improved, alumni can be classified, and their career information can be analyzed to provide career information for the establishment of an alumni database. Multiple matching factors are obtained from the identity information, and the matching degree is calculated, which improves the accuracy of the matching degree, thereby improving the accuracy of identifying the alumni to be confirmed. The identity information of the alumni to be confirmed is stored based on matching tags, which realizes the automatic storage of data in the alumni management database and improves the efficiency of alumni information management.

[0062] Compared with the traditional method of manually collecting university alumni data, the alumni information management method of this application has the following significant advantages: Data collection efficiency is greatly improved: With the help of the massive data processing capabilities of big data technology, through automated collection, storage, processing and mining, the data collection time cycle is greatly shortened, which can quickly respond to the needs of universities and society for high-quality alumni resources.

[0063] Enhanced data accuracy: There may be problems such as information entry errors, omissions, or subjective judgment biases during manual collection. This application collects data through big data technologies such as data search. Big data technologies can automatically verify and clean data based on preset rules and algorithms, effectively reducing errors and improving data accuracy and reliability.

[0064] Improved data richness: It can integrate multi-source data, including information from social media, professional databases, alumni association records and other channels, to form a more comprehensive and multi-dimensional alumni portrait. This multi-source integration approach helps to discover more potential high-quality alumni resources and enhance the richness and diversity of data.

[0065] Enhanced data timeliness: Based on the data update mechanism mentioned in this application, alumni data can be monitored and updated in real time to ensure timely discovery and acquisition of new alumni.

[0066] Labor costs are greatly reduced: By using this alumni information management method, high-quality alumni can be automatically and efficiently screened out from massive alumni data, greatly saving labor and time costs.

[0067] The following is an exemplary description of the alumni information management device provided by this application.

[0068] like Figure 2 As shown, the embodiment of the present application provides an alumni information management device, and the alumni information management device 200 includes: The acquisition module 201 is used to acquire multiple potential alumni lists of the target school; each potential alumni list includes identity information of multiple alumni of the target school; A merging module 202 is used to merge all potential alumni lists and remove duplicates based on all identity information to obtain multiple final alumni of the target school; The classification module 203 is used to classify all final alumni according to their identity information to obtain multiple categories of high-quality alumni lists; the high-quality alumni list includes multiple target alumni; A matching degree calculation module 204 is used to obtain the identity information of the alumni to be confirmed, obtain multiple matching factors based on the identity information, and use all the matching factors to calculate the matching degree between the identity information of the alumni to be confirmed and the identity information of each target alumni; The storage module 205 is used to obtain the matching tags of the alumni to be confirmed according to all matching degrees, and store the identity information of the alumni to be confirmed in the alumni management database of the target school according to the matching tags; the matching tags are one of high-quality alumni, non-alumni, and suspected high-quality alumni.

[0069] It should be noted that the information interaction, execution process, etc. between the above-mentioned devices / units are based on the same concept as the method embodiment of the present application. Their specific functions and technical effects can be found in the method embodiment part and will not be repeated here.

[0070] The technicians in the relevant field can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example for illustration. In practical applications, the above-mentioned function allocation can be completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiment can be integrated in a processing unit, or each unit can exist physically separately, or two or more units can be integrated in one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of software functional units. In addition, the specific names of the functional units and modules are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of this application. The specific working process of the units and modules in the above-mentioned system can refer to the corresponding process in the aforementioned method embodiment, which will not be repeated here.

[0071] like Figure 3 As shown, an embodiment of the present application provides a terminal device. The terminal device D10 of this embodiment includes: at least one processor D100 ( Figure 3 Only one processor is shown in the figure), a memory D101, and a computer program D102 stored in the memory D101 and executable on the at least one processor D100, wherein the processor D100 implements the steps of any of the above-mentioned method embodiments when executing the computer program D102.

[0072] Specifically, when the processor D100 executes the computer program D102, it obtains multiple potential alumni lists of the target school, then merges all the potential alumni lists, and deduplicates based on all identity information to obtain multiple final alumni of the target school, and then classifies all final alumni according to their identity information to obtain multiple categories of high-quality alumni lists, and then obtains the identity information of the alumni to be confirmed, obtains multiple matching factors based on the identity information, and uses all the matching factors to calculate the matching degree between the identity information of the alumni to be confirmed and the identity information of each target alumni, and finally obtains the matching tags of the alumni to be confirmed based on all matching degrees, and stores the identity information of the alumni to be confirmed in the alumni management database of the target school according to the matching tags. Among them, by obtaining the identity information of alumni and deduplicating it, data duplication is reduced, the efficiency of subsequent information processing is improved, alumni are classified, and the career information of alumni can be analyzed to provide career information for the establishment of an alumni database. Multiple matching factors are obtained from the identity information, and the matching degree is calculated, which improves the accuracy of the matching degree, thereby improving the accuracy of identifying the alumni to be confirmed. The identity information of the alumni to be confirmed is stored based on matching tags, which realizes the automatic storage of data in the alumni management database and improves the efficiency of alumni information management.

[0073] The processor D100 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc.

[0074] In some embodiments, the memory D101 may be an internal storage unit of the terminal device D10, such as a hard disk or memory of the terminal device D10. In other embodiments, the memory D101 may also be an external storage device of the terminal device D10, such as a plug-in hard disk, a smart memory card (SMC, SmartMedia Card), a secure digital (SD, Secure Digital) card, a flash card (Flash Card), etc. equipped on the terminal device D10. Further, the memory D101 may also include both an internal storage unit of the terminal device D10 and an external storage device. The memory D101 is used to store an operating system, an application program, a boot loader (BootLoader), data, and other programs, such as the program code of the computer program, etc. The memory D101 may also be used to temporarily store data that has been output or is to be output.

[0075] An embodiment of the present application further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps in the above-mentioned method embodiments can be implemented.

[0076] An embodiment of the present application provides a computer program product. When the computer program product runs on a terminal device, the terminal device can implement the steps in the above-mentioned method embodiments when executing the computer program product.

[0077] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the present application implements all or part of the processes in the above-mentioned embodiment method, which can be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium. When the computer program is executed by the processor, the steps of the above-mentioned various method embodiments can be implemented. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium may at least include: any entity or device that can carry the computer program code to the alumni information management method device / terminal device, recording medium, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), electric carrier signal, telecommunication signal and software distribution medium. For example, a USB flash drive, a mobile hard disk, a magnetic disk or an optical disk. In some jurisdictions, according to legislation and patent practice, computer-readable media cannot be electric carrier signals and telecommunication signals.

[0078] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0079] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0080] The above is a preferred embodiment of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles described in the present application. These improvements and modifications should also be regarded as the scope of protection of the present application.

Claims

1. A method for managing alumni information, characterized in that: include: Obtain multiple lists of potential alumni from target schools; Each of the potential alumni lists includes identity information of a plurality of alumni of the target school; Merge all potential alumni lists and remove duplicates based on all identity information to obtain multiple final alumni of the target school; Classifying all final alumni according to their identity information to obtain multiple categories of high-quality alumni lists; the high-quality alumni lists include multiple target alumni; Obtaining identity information of the alumni to be confirmed, obtaining multiple matching factors based on the identity information, and using all matching factors to calculate the matching degree between the identity information of the alumni to be confirmed and the identity information of each target alumni; The matching tag of the alumnus to be confirmed is obtained according to all matching degrees, and the identity information of the alumnus to be confirmed is stored in the alumni management database of the target school according to the matching tag; the matching tag is one of high-quality alumni, non-alumni, and suspected high-quality alumni.

2. The alumni information management method according to claim 1, characterized in that: The identification information includes the name of the alumnus; The list of all potential alumni is merged and deduplicated based on all identity information to obtain multiple final alumni of the target school, including: Merge all potential alumni lists to obtain a combined list; For each alumni in the combined list, perform the following steps: Identify duplicate alumni with the same name as said alumni from among all other alumni on said combined list; If the number of duplicate alumni is greater than 0, all duplicate alumni are removed from the merged list, and the alumni are taken as the final alumni; If the number of repeated alumni is equal to 0, the alumni will be regarded as the final alumni.

3. The alumni information management method according to claim 2, characterized in that: The identity information also includes the occupational information of the alumni; All final alumni are classified according to their identity information to obtain multiple lists of high-quality alumni, including: For each final alumni, follow these steps: If the career information of the final alumni includes relevant information of political career, the final alumni will be included as a target alumni in the first category of high-quality alumni list; If the career information of the final alumni includes relevant information of business career, the final alumni will be included as a target alumni in the second category of high-quality alumni list; If the career information of the final alumni includes relevant information about careers in academia, the final alumni will be included as a target alumni in the third category of high-quality alumni list; If the career information of the final alumni does not include relevant information about political careers, relevant information about business careers, and relevant information about academic careers, the final alumni will be included in the fourth category of high-quality alumni list as a target alumnus.

4. The alumni information management method according to claim 3, characterized in that: The identity information also includes the name of the college, the name of the major, gender information, year of admission and year of graduation; The step of acquiring multiple matching factors based on the identity information and calculating the matching degree between the identity information of the alumni to be confirmed and the identity information of each target alumni using all the matching factors includes: Take name, college name, major name, gender information, year of admission and year of graduation as matching factors, and set corresponding matching weights for each matching factor; For each of the target alumni, all matching factors and all matching weights are used to calculate the matching degree between the identity information of the alumni to be confirmed and the identity information of the target alumni.

5. The alumni information management method according to claim 4, characterized in that: The calculating the matching degree between the identity information of the alumni to be confirmed and the identity information of the target alumni by using all matching factors and all matching weights includes: By formula: Calculate the matching degree between the identity information of the alumni to be confirmed and the identity information of the target alumni ; in, Indicates The matching weight of the matching factor, Indicates the identity information of the alumni to be confirmed and the identity information of the target alumni for the first The matching degree of the matching factors, Indicates the number of matching factors.

6. The alumni information management method according to claim 1, characterized in that: The step of storing the identity information of the alumni to be confirmed in the alumni management database of the target school according to the matching tags includes: If the matching tag of the alumnus to be confirmed is a high-quality alumnus, the identity information of the alumnus to be confirmed is stored in the alumni management database of the target school.

7. An alumni information management device, characterized in that: include: An acquisition module is used to obtain multiple potential alumni lists of target schools; Each of the potential alumni lists includes identity information of multiple alumni of the target school; A merging module is used to merge all potential alumni lists and remove duplicates based on all identity information to obtain multiple final alumni of the target school; A classification module is used to classify all final alumni according to their identity information to obtain multiple categories of high-quality alumni lists; the high-quality alumni lists include multiple target alumni; A matching degree calculation module is used to obtain the identity information of the alumni to be confirmed, obtain multiple matching factors based on the identity information, and use all the matching factors to calculate the matching degree between the identity information of the alumni to be confirmed and the identity information of each target alumni; A storage module is used to obtain the matching label of the alumni to be confirmed according to all matching degrees, and store the identity information of the alumni to be confirmed in the alumni management database of the target school according to the matching label; the matching label is one of high-quality alumni, non-alumni, and suspected high-quality alumni.

8. A terminal device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the alumni information management method according to any one of claims 1 to 6 is implemented.

9. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the alumni information management method according to any one of claims 1 to 6 is implemented.

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