TWM605548U - Occupational category determination system - Google Patents

Abstract

A system for occupational category determination is provided. The system for occupational category determination includes an electronic device and a server. The server is coupled to the electronic device, and includes a database and a processor. The server stores a plurality of category tags and customer information. The electronic device uploads at least one occupational identification information to the server, and the processor in the server determines whether a corresponding category tag exists in the database in the server. When the category tag corresponding to the at least one occupational identification information exists in the database, the server replies an occupational category determination result to the electronic device. When the category tag corresponding to the at least one occupational identification information does not exist in the database, the electronic device connects to an external server by the internet to perform searching, to obtain the category tag corresponding to the at least one occupational identification information.

Description

Occupational classification system

This new creation is about a system for judging occupational categories.

Currently, sellers of insurance products still rely on manual operations when judging the occupational category of their customers. However, manual operations have many shortcomings. For example, when judging whether the category label corresponding to the occupational identification information exists in the database, it must rely on the judge’s personal experience of the occupational identification information and category label. In addition, when the number of customers is large, Manual work to determine whether the category label corresponding to the occupational identification information exists in the database will consume too much time.

The new creation provides an occupation category judgment system. When judging the occupation category, keywords of the category label can be used to match the occupation identification information, which improves the accuracy, consistency and efficiency of the occupation category judgment.

The occupational category judgment system created by the present invention includes an electronic device and a server. The server is coupled to the electronic device and includes a database and a processor. The database stores a plurality of category tags and customer information. The electronic device uploads at least one occupational identification information to the server, and the processor in the server determines whether there is a corresponding category label in the database of the server according to the at least one occupational identification information. When the category label exists in the database, the server returns an occupation category judgment result to the electronic device. When the category label corresponding to at least one occupational identification information does not exist in the database, the electronic device connects to an external server via the Internet to search to obtain the category label corresponding to the at least one occupational identification information.

In an embodiment of the present invention, the category labels of the above-mentioned occupational category judgment system respectively have multiple keywords for matching at least one occupational identification information.

In an embodiment of the present invention, the at least one occupation identification information of the above-mentioned occupation category judgment system includes at least one of company name, company location, job title, and age.

In an embodiment of the present invention, the processor of the above-mentioned occupational category judgment system compares the company name and customer information in at least one occupational identification information to determine whether there is a corresponding category label in the database.

In an embodiment of the present invention, the processor of the above-mentioned occupational category determination system further compares the company location and customer information in the at least one occupational identification information to determine whether there is a corresponding category label in the database.

In an embodiment of the present invention, the processor of the above-mentioned occupational category determination system determines whether there is a corresponding category label in the database according to whether the age in the at least one occupational identification information is greater than a preset age threshold.

In an embodiment of the present invention, the processor of the above-mentioned occupational category judgment system compares the titles in the at least one occupational identification information with the keywords to determine whether there is a corresponding category label in the database.

In an embodiment of the present invention, the processor of the above-mentioned occupational category determination system performs text semantic processing on the company name in at least one occupational identification information to determine whether there is a corresponding category label in the database.

In an embodiment of the present invention, the text semantic processing of the above-mentioned occupational category judgment system includes the comparison of similar words based on word segmentation technology, word vectors, and machine learning.

In an embodiment of the present invention, the processor of the above-mentioned occupation category judgment system performs typos correction on the company name in at least one occupation identification information.

In an embodiment of the present invention, the external server of the above-mentioned occupational category judgment system includes an external database, and the external database is one of the category information of a listed company and the business tax registration information of the Ministry of Finance.

Based on the above, the new creative occupation category judgment system, when judging the occupation category, can use the keywords of the category tag to match the occupation identification information, or use the company location of the occupation identification information to compare with the customer information to determine the information Whether the corresponding category label exists in the library. Through the creation of the new type, the accuracy of the judgment result of the occupation category and the judgment efficiency of the occupation category can be improved.

In order to make the above-mentioned features and advantages of the new creation more obvious and understandable, the following embodiments are specially cited, and the accompanying drawings are described in detail as follows.

FIG. 1 is a schematic diagram of an occupation category judgment system 100 according to an embodiment of the present invention. Please refer to FIG. 1. The occupation category determination system 100 includes an electronic device 110, a server 120, and an external server 130. The electronic device 110 can be a device for inputting information by the occupational classification judge of the occupational classification judging system 100. Taking a banker or a life business as an example, it can be a desktop computer, a notebook computer, or a tablet computer of a clerk, but not This is a limitation.

The server 120 is coupled to the electronic device 110 for receiving at least one occupational identification information from the electronic device 110. The server 120 includes a processor 121 and a database 122, wherein the processor 121 determines whether there is a corresponding category tag in the database 122 of the server 120 according to at least one job identification information.

The processor 121 is, for example, a central processing unit (CPU), or other programmable general-purpose or special-purpose micro control unit (MCU), microprocessor, or digital signal processing DSP (digital signal processor, DSP), programmable controller, application specific integrated circuit (ASIC), graphics processing unit (GPU), arithmetic logic unit (ALU) , Complex programmable logic device (CPLD), field programmable gate array (FPGA) or other similar components or combinations of the above components.

The database 122 may be stored in a storage device (not shown) of the server 120, wherein the storage device may be any type of fixed or removable random access memory (RAM), read-only memory (ROM) ), flash memory, hard disk or other similar devices, integrated circuits and combinations thereof. It should be noted that the database 122 is used to store multiple category tags and customer information. The category tags can include, for example, "Food and Beverage Industry G1", "Cement Industry D11", etc., and customer information can include company names and job titles. And company location, etc., take company names as examples, such as "Dinghao Barbecue", "Franklin Language Center", "TSMC", etc., but not limited to this.

It is worth noting that the multiple category tags stored in the database 122 may each have multiple keywords for matching occupational identification information. Specifically, the category label "Military Position B1" can have multiple keywords "National Army", "Army", and "Navy". When the electronic device 110 uploads the occupational identification information "Army" to the server 120, the category label Multiple keywords can be used to match the occupation identification information, that is, the processor 121 can determine whether the database 122 has a category label corresponding to the occupation identification information according to whether the multiple keywords of the category label match the occupation identification information. In this example, since one of the keywords "Army" of the category label "Military Position B1" matches the occupational identification information "Army" uploaded to the server 120, the processor 121 can use this to determine the existence of the database 122 and occupational identification. The category label "Military Position B1" corresponding to the information "Army". Since the processor 121 determines that the category label "Military Position B1" corresponding to the occupational identification information "Army" exists in the database 122, the server 120 can return the occupational category determination result to the electronic device 110. The occupational category determination result in this example It may be “Military Position B1”, that is, when the category label corresponding to the occupation identification information exists in the database 122, the server 120 may use the category label as the occupation category determination result and return it to the electronic device 110.

In one embodiment, the occupational identification information includes at least one of company name, company location, job title, and age. Specifically, occupational identification information can be, for example, "TSMC", "TSMC: Hsinchu", "Kaohsiung", "Manager", "TSMC: Manager", "30 years old", "TSMC: 50 years old" and other information, but Not limited to this.

In one embodiment, the processor 121 compares the title and keywords in the occupational identification information to determine whether there is a corresponding category label in the database 122. Specifically, the category label "Faculty B3" can have multiple keywords, such as "professor", "dean", "high school teacher", "elementary school teacher", etc., and the occupational identification information can be "Central University: Professor ", due to the multiple keywords "Professor", "Department Chair", "High School Teacher", "Elementary School Teacher" in the job title "Professor" in the "Central University: Professor" and the category label "Staff B3" One of the keywords "professor" matches the comparison result, and the processor 121 can use this to determine that the database 122 has a category label "faculty B3" corresponding to the occupation identification information "Central University: Professor".

In one embodiment, the processor 121 compares the company name and customer information in the at least one occupational identification information to determine whether there is a corresponding category tag in the database 122. Specifically, the database 122 can store category tags, such as "Food and Beverage Industry G1", "Cement Industry D11", and customer information "Dinghao Barbecue", "Franklin Language Center", "TSMC" and so on. When the electronic device 110 uploads the occupation identification information "TSMC: Hsinchu" to the server 120, the processor 121 can use the company name "TSMC" in the occupation identification information "TSMC: Hsinchu" and the customer information "Dinghao Barbecue" and "Franklin Language Center" and "TSMC" for comparison. Since the company name "TSMC" in the occupational identification information "TSMC: Hsinchu" matches one of the customer information "TSMC", the processor 121 can use this to determine that the database 122 has a category label corresponding to the occupational identification information. Since the processor 121 determines that the category label corresponding to the occupational identification information "TSMC: Hsinchu" exists in the database 122, the server 120 may return the result of the occupational category determination to the electronic device 110.

In one embodiment, the processor 121 further compares the company location and customer information in the at least one occupational identification information to determine whether there is a corresponding category tag in the database 122. FIG. 2 is a schematic diagram of judging whether there is a corresponding category label in the database 122 according to an embodiment of the new creation. Please refer to Figure 2. The database 122 can store customer information 211 "Guanglongchang Machinery: Hsinchu", customer information 212 "Guanglongchang International Trade: Kaohsiung", and customer information 213 "Guanglongchang Engineering Co., Ltd.: Taipei". When the electronic device 110 uploads the occupational identification information 220 "Guanglongchang: Taipei" including the company location to the server 120, the processor 121 in addition to the company name "Guanglongchang" and the customer based on the occupational identification information 220 "Guanglongchang: Taipei" In addition to the information comparison, the processor 121 compares the company location "Taipei" in the occupational identification information 220 "Guanglongchang: Taipei" with the customer information 211~213. In this example, the company name "Guanglongchang" in the occupational identification information 220 "Guanglongchang: Taipei" and customer information 211 "Guanglongchang Machinery: Hsinchu", customer information 212 "Guanglongchang International Trade: Kaohsiung", customer information 213 "Guanglongchang Engineering Co., Ltd.: Taipei" does not exactly match, however, the occupational identification information 220 "Guanglongchang: Taipei" in the company location "Taipei" and one of the customer information in the customer information 213 "Guanglongchang Engineering Co., Ltd. Company: Taipei" is a match, and the processor 121 can use this to determine that the database 122 has a category label corresponding to the occupation identification information 220 "Guanglongchang: Taipei". Since the processor 121 determines that the category label corresponding to the occupation identification information 220 "Guanglongchang: Taipei" exists in the database 122, the server 120 can return the occupation category determination result to the electronic device 110.

In one embodiment, the processor 121 determines whether there is a corresponding category label in the database according to the text overlap rate of the occupational recognition information and the customer information. FIG. 3 is another schematic diagram of judging whether there is a corresponding category label in the database 122 according to an embodiment of the new creation. Please refer to Figure 3. The difference between Figure 3 and Figure 2 in the database 122 is that the customer information 213 in Figure 2 is "Guang Long Chang Engineering Co., Ltd.: Taipei", and the customer information 313 in Figure 3 is "Guangzhou Longchang Engineering Co., Ltd.: Keelung". When the electronic device 110 uploads the occupational identification information 320 "Guanglongchang: Taipei" including the company's location to the server 120, because the occupational identification information 320 "Guanglongchang: Taipei" has the company name "Guanglongchang" and the company location "Taipei" and None of the customer information 311 to 313 completely matches, and the processor 121 can determine whether there is a corresponding category label in the database 122 according to the word overlap rate of the occupational identification information and the customer information. Specifically, the word overlap rate can be the ratio of "the number of identical words in occupational recognition information and customer information" to "the number of words in customer information". In this example, the occupation recognition information 320 "Guanglongchang: Taipei" and the customer information 311 "Guanglongchang Machinery: Hsinchu" have the same number of characters as 3, and the customer information 311 "Guanglongchang Machinery: Hsinchu" has the number of characters as 7 Therefore, the text overlap rate of occupational recognition information 320 "Guanglongchang: Taipei" and customer information 311 "Guanglongchang Machinery: Hsinchu" is 3/7. Similarly, the word overlap rate between occupational recognition information 320 "Guanglongchang: Taipei" and customer information 312 "Guanglongchang International Trade: Kaohsiung" is 3/9, occupation recognition information 320 "Guanglongchang: Taipei" and customer information 313 "Guangzhou The text overlap rate of "Longchang Engineering Co., Ltd.: Keelung" is 3/13. The processor 121 may also determine whether there is a corresponding category label in the database 122 according to the threshold value of the text overlap rate. For example, the threshold value of the text overlap rate can be set to 1/3, because the text overlap rate of occupation recognition information 320 "Guanglongchang: Taipei" and customer information 311 "Guanglongchang Machinery: Hsinchu" is 3/7 greater than the text overlap rate For the threshold value, the processor 121 can determine that there is a corresponding category label in the database 122.

In an embodiment, the processor 121 determines whether there is a corresponding category label in the database 122 according to whether the age in the occupational identification information is greater than a preset age threshold. Specifically, the database 122 can store customer information "Central University", and the preset age threshold can be 30 years old. When the electronic device 110 uploads the occupation identification information "Central University: 50 years old" to the server 120, since the age "50 years" in the occupation identification information is greater than the preset age threshold, the processor 121 can determine that the database 122 exists. The category label corresponding to the occupational identification information "Central University: 50 years old".

In one embodiment, the processor 121 performs text semantic processing on the company name in the occupational identification information to determine whether there is a corresponding category label in the database 122. Assuming that the database 122 stores customer information "Dinghao Barbecue" and "Franklin Language Center", when the electronic device 110 uploads the occupational identification information "Xingangsheng Fried Duck" including the company name to the server 120, the processor 121 can check the occupation The company name "Xingang Raw Fried Duck" that identifies the information performs text semantic processing. The processor 121 may use word segmentation technology to obtain the word segmentation result as "duck meat" from the company name "Xingang Sheng Fried Duck Meat" of the occupational identification information. Then, the processor 1210 can use the word vector (word2vec) to perform semantic expansion on the word segmentation result "duck meat", and the result of the semantic expansion can be "beef and pork". The processor 121 can compare the results of semantic expansion "beef and pork" with similar words in machine learning, and compare them with the customer information "Dinghao Barbecue" and "Franklin Language Center" respectively. The result of the comparison can be "Customer Information" "Dinghao Barbecue" is similar to the occupation identification information "Xingang Raw Fried Duck Meat". With this, the processor 121 can determine that the database 122 has a category label corresponding to the occupation identification information "Xingang Raw Fried Duck Meat".

When the processor 121 determines that the category tag corresponding to the occupation identification information exists in the database 122, the server 120 returns the result of the occupation category determination to the electronic device 110. In this embodiment, the occupation category judgment result may be a category label judged by the processor 121 to already exist in the database 122.

When the processor 121 determines that the category label corresponding to the occupational identification information does not exist in the database 122, the electronic device 110 connects to the external server 130 via the Internet to search to obtain the category label corresponding to the occupational identification information. The Internet can include a local area network (LAN) or a wide area network (Wide Area Network, WAN), such as a wireless wide area network supporting 3G, 4G, or 5G standards, or a wireless local area network supporting Wifi standards, etc. But this is not a limitation. In another embodiment, the external server 130 includes an external database, and the external database is one of listed company category information and Ministry of Finance business tax registration information. That is to say, when the system 100 for determining the occupation category of the present invention determines that the category label corresponding to the occupation identification information does not exist in the database 122, it can search the external server 130 to obtain the category label corresponding to the occupation identification information.

FIG. 4 is a flowchart of a method for judging occupational categories according to an embodiment of the present invention. The method for judging occupational categories can be implemented by the occupational category judging system 100 shown in FIG. In step S401, upload at least one occupational identification information to the server. In step S402, it is determined whether there is corresponding category information in the database of the server based on at least one occupational identification information. After step S402 is executed, if the judgment result of step S402 is "Yes", step S403 is executed. When the category tag corresponding to at least one occupational identification information exists in the database, the category information is returned to the electronic device, If the judgment result of step S402 is "No", go to step S404. When the category tag corresponding to at least one occupational identification information does not exist in the database, connect to an external server via the Internet to search to obtain the corresponding A category label for at least one occupational identification information.

In summary, when judging the occupation category, the occupational category judgment system created by the present invention can use the keywords of the category label to match the occupational identification information, or use the company location of the occupational identification information to compare with the customer information, except In addition, text semantic processing can be performed on the company name in the occupational identification information to determine whether there is a corresponding category label in the database. In other words, the occupational category judgment system created by the present invention can judge the occupational category more flexibly when inputting partially wrong or incomplete occupational identification information.

Although the creation of this new type has been disclosed in the above embodiments, it is not intended to limit the creation of this new type. Anyone with ordinary knowledge in the technical field can make some changes and changes without departing from the spirit and scope of the new creation. Retouching, therefore, the scope of protection of the creation of the new model shall be subject to the scope of the attached patent application.

100: Occupation category judgment system 110: electronic device 120: server 121: processor 122: database 130: external server 211, 212, 213, 311, 312, 313: customer information 220, 320: occupational identification information S401, S402, S403, S404: steps

Fig. 1 is a schematic diagram of a system for judging occupational categories according to an embodiment of the present invention. FIG. 2 is a schematic diagram of judging whether there is a corresponding category label in the database 122 according to an embodiment of the new creation. FIG. 3 is another schematic diagram of judging whether there is a corresponding category label in the database 122 according to an embodiment of the new creation. Fig. 4 is a flowchart of a method for judging occupational categories according to an embodiment of the present invention.

100: Occupation category judgment system

110: electronic device

120: server

121: processor

122: database

130: external server

Claims (10)

An occupational category judgment system, including: An electronic device; and A server, coupled to the electronic device, includes a database and a processor. The database stores a plurality of category tags and customer information, The electronic device uploads at least one occupational identification information to the server, and the processor in the server determines whether there is a corresponding category label in the database of the server according to the at least one occupational identification information. When the category label corresponding to the at least one occupation identification information exists in the database, the server returns an occupation category determination result to the electronic device, When the category label corresponding to the at least one occupational identification information does not exist in the database, the electronic device is connected to an external server via the Internet to search to obtain the at least one occupational identification information corresponding to the Category label. According to the occupational category judgment system of claim 1, wherein the category labels respectively have multiple keywords to match the at least one occupational identification information. The occupational category judgment system according to claim 2, wherein the at least one occupational identification information includes at least one of company name, company location, job title, and age. According to the occupational category determination system of claim 3, the processor compares the company name in the at least one occupational identification information with the customer information to determine whether there is a corresponding category label in the database. The occupational category determination system according to claim 4, wherein the processor further compares the company location in the at least one occupational identification information with the customer information to determine whether there is a corresponding category label in the database . According to the occupational category determination system of claim 4, the processor determines whether there is a corresponding category label in the database according to whether the age in the at least one occupational identification information is greater than a preset age threshold. According to the occupational category determination system of claim 3, the processor compares the job title in the at least one occupational identification information with the keywords to determine whether there is a corresponding category label in the database. The occupational category determination system according to claim 3, wherein the processor performs text semantic processing on the company name in the at least one occupational identification information to determine whether there is a corresponding category label in the database. The occupational category judgment system according to claim 8, wherein the text semantic processing includes comparison of similar words based on word segmentation technology, word vectors, and machine learning. The occupational category determination system according to claim 1, wherein the external server includes an external database, and the external database is one of the information of a listed company category and the registration information of the Ministry of Finance's business tax registration.

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