TWI779311B - Occupational category determination system and occupational category determination method - Google Patents

Abstract

A system for occupational category determination and a method for occupational category determination are 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 Category Judgment System and Occupational Category Judgment Method

The invention relates to a system for judging occupational categories and a method for judging occupational categories.

At present, sellers of insurance products still rely on manual work when judging the occupational category of customers. However, there are many shortcomings in manual operation. For example, when judging whether the category label corresponding to the occupation identification information exists in the database, it must rely on the personal experience of the judge on the occupation identification information and category labels. In addition, when the number of customers is large, and the It will consume too much time to manually determine whether the category tag corresponding to the occupation identification information exists in the database.

The present invention provides an occupational category judgment system and an occupational category determination method. When judging an occupational category, the keywords of the category label can be used to match the occupational identification information, which improves the accuracy, consistency and efficiency of occupational category determination.

The occupation category judging system of 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 labels and customer information. The electronic device uploads at least one piece of occupational identification information to the server, and the processor in the server judges whether there is a corresponding category tag in the database of the server according to the at least one occupational identification information. When the class label exists in the database, the server returns a judgment result of the occupation class to the electronic device. When the category tag corresponding to the at least one occupation identification information does not exist in the database, the electronic device is connected to an external server through the Internet to search to obtain the category tag corresponding to the at least one occupation identification information.

In an embodiment of the present invention, the category tags of the above-mentioned occupation category determination system respectively have a plurality of keywords for matching at least one occupation identification information.

In an embodiment of the present invention, the at least one occupation identification information in the above 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 determination system compares the company name in at least one occupational identification information with customer 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 occupation category determination system further compares the company location in at least one occupation identification information with the customer 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 occupation category determination system determines whether there is a corresponding category label in the database according to whether the age in at least one occupation identification information is greater than a preset age threshold.

In an embodiment of the present invention, the processor of the above-mentioned occupational category determination system compares the professional title in at least one occupation 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 occupation category determination system performs text semantic processing on the company name in at least one occupation 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 occupational category judgment system includes 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 determination system performs typo 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, which is one of the category information of listed companies and the business tax registration information of the Ministry of Finance.

The occupation category determination method of the present invention includes: uploading at least one occupation identification information to the server, judging whether there is corresponding category information in the database of the server according to the at least one occupation identification information, and when the at least one occupation identification information corresponds When the category tag exists in the database, return the category information to the electronic device; when the category tag corresponding to at least one occupation identification information does not exist in the database, connect to an external server via the Internet for searching, to obtain a category label corresponding to at least one occupation identification information.

Based on the above, the occupation category judgment method and occupation category judgment system of the present invention can use the keywords of the category label to match the occupation identification information when determining the occupation category, and can also use the company location of the occupation identification information to compare with the customer information , to determine whether the corresponding category label exists in the database. With the present invention, 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 present invention more comprehensible, the following specific embodiments are described in detail together with the accompanying drawings.

FIG. 1 is a schematic diagram of an occupation category determination 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 the occupational category judges of the occupational category determination system 100 to input information. For example, a banker or a life insurance company can be a desktop computer, a notebook computer or a tablet computer of an operator, but not in the form of This is a limitation.

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

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

The database 122 can be stored in a storage device (not shown) of the server 120, wherein the storage device can be any type of fixed or removable random access memory (RAM), read only memory (ROM) ), flash memory (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 a plurality of category tags and customer information, wherein the category tags may include, for example, "catering and food industry G1", "cement industry D11", etc., and the customer information may include company name, job title and the location of the company, etc., take the company name as an example, such as "Dinghao Barbecue", "Franklin Language Center", "TSMC", etc., but not limited to this.

It should be noted that the multiple category tags stored in the database 122 may respectively have multiple keywords for matching the occupation identification information. Specifically, the category label "military occupation B1" may have multiple keywords "National Army", "Army", and "Navy". When the electronic device 110 uploads the occupation identification information "Army" to the server 120, the category label A plurality of keywords can be used to match the occupation identification information, that is, the processor 121 can determine whether there is a category tag corresponding to the occupation identification information in the database 122 according to whether the keywords of the category tag match the occupation identification information. In this example, since one of the keywords "Army" in the category label "Military B1" matches the occupation identification information "Army" uploaded to the server 120, the processor 121 can use this to determine the existence of the database 122 and the occupation identification The category label "Military B1" corresponding to the information "Army". Since the processor 121 judges that the class label "Military Class B1" corresponding to the occupation identification information "Army" exists in the database 122, the server 120 can return the occupation class judgment result to the electronic device 110. In this example, the occupation class judgment result It can be “military occupation B1”, that is, when the category tag corresponding to the occupation identification information exists in the database 122, the server 120 can use the category tag as the occupation category judgment result and send it back to the electronic device 110.

In one embodiment, the occupation identification information includes at least one of company name, company location, job title and age. Specifically, the occupation identification information may be information such as "TSMC", "TSMC: Hsinchu", "Kaohsiung", "Manager", "TSMC: Manager", "30 years old", "TSMC: 50 years old", etc., but This is not the limit.

In one embodiment, the processor 121 compares the job title and the keyword in the job identification information to determine whether there is a corresponding category tag in the database 122 . Specifically, the category label "teacher B3" can have multiple keywords, such as "professor", "department head", "high school teacher", "elementary school teacher", etc., and the occupation identification information can be "Central University: Professor ", due to the job title "Professor" in the occupation identification information "Central University: Professor" and the multiple keywords "Professor", "Department Head", "High School Teacher", and "Elementary School Teacher" in the category label "Faculty B3" One of the keywords "professor" is a matching result, and the processor 121 can judge that the database 122 has the category label "staff B3" corresponding to the occupation identification information "Central University: Professor".

In one embodiment, the processor 121 compares the company name in at least one occupation identification information with the customer information to determine whether there is a corresponding category tag in the database 122 . Specifically, the database 122 can store category labels, such as "catering and food industry G1", "cement industry D11" and customer information "Top Good Barbecue", "Franklin Language Center", "TSMC" and so on. When the electronic device 110 uploads the occupational identification information "TSMC: Hsinchu" to the server 120, the processor 121 can use the company name "TSMC" in the occupational identification information "TSMC: Hsinchu" and the customer information "Dinghao BBQ", "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 determine that there is a category tag corresponding to the occupational identification information in the database 122 . Since the processor 121 determines that the category tag corresponding to the occupation identification information “TSMC: Hsinchu” exists in the database 122 , the server 120 may return the occupation category determination result to the electronic device 110 .

In one embodiment, the processor 121 further compares the company location in the at least one job identification information with the customer 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 tag in the database 122 according to an embodiment of the present invention. Please refer to FIG. 2 , the database 122 can store customer information 211 "Longchang Machinery: Hsinchu", customer information 212 "Longchang International Trading: Kaohsiung", and customer information 213 "Longchang Engineering Co., Ltd.: Taipei". When the electronic device 110 uploads the occupational identification information 220 "Guanglongchang: Taipei" including the location of the company to the server 120, the processor 121, in addition to the company name "Guanglongchang" in the occupational identification information 220 "Guanglongchang: Taipei" and the customer In addition to information comparison, the processor 121 further compares the company location "Taipei" in the occupation identification information 220 "Guanglongchang: Taipei" with the customer information 211-213. In this example, the company name "Guanglongchang" in the occupation identification information 220 "Guanglongchang: Taipei" and the customer information 211 "Guanglongchang Machinery: Hsinchu", customer information 212 "Guanglongchang International Trade: Kaohsiung", customer information 213 "Guanglongchang Engineering Co., Ltd.: Taipei" is not an exact match. However, the company location "Taipei" in the occupation identification information 220 "Guanglongchang: Taipei" and one of the customer information 213 "Guanglongchang Engineering Co., Ltd. Company: Taipei" is a match, and the processor 121 can judge that there is a category label corresponding to the occupation identification information 220 "Guanglongchang: Taipei" in the database 122 . Since the processor 121 determines that the category tag corresponding to the occupation identification information 220 “Guang Longchang: 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 tag in the database according to the text overlap rate of the occupation identification information and the customer information. FIG. 3 is another schematic diagram of determining whether a corresponding category tag exists in the database 122 according to an embodiment of the present invention. Please refer to Fig. 3, in Fig. 3 and Fig. 2 database 122, its difference is, the customer information 213 in Fig. Longchang Engineering Co., Ltd.: Keelung". When the electronic device 110 uploads the occupational identification information 320 "Guanglongchang: Taipei" including the location of the company to the server 120, the company name "Guanglongchang" and the company location "Taipei" in the occupational identification information 320 "Guanglongchang: Taipei" are the same as None of the customer information 311 to 313 is a complete match, and the processor 121 can determine whether there is a corresponding category label in the database 122 according to the text overlap rate of the occupation identification information and the customer information. Specifically, the character overlap rate may be the ratio of "the number of identical characters in the occupation identification information and the customer information" to the "number of characters in the customer information". In this example, the occupation identification information 320 "Guanglongchang: Taipei" and the customer information 311 "Guanglongchang Machinery: Hsinchu" have the same number of characters as 3, and the number of characters in the customer information 311 "Guanglongchang Machinery: Hsinchu" is 7 , so the text overlap rate of occupation identification information 320 "Guanglongchang: Taipei" and customer information 311 "Guanglongchang Machinery: Hsinchu" is 3/7. Similarly, the occupational identification information 320 "Guanglongchang: Taipei" and the customer information 312 "Guanglongchang International Trade: Kaohsiung" have a text overlap rate of 3/9, and the occupational identification information 320 "Guanglongchang: Taipei" and the customer information 313 "Guanglongchang Long Cheong Engineering Co., Ltd.: Keelung" has a text overlap rate of 3/13. The processor 121 can also determine whether there is a corresponding category label in the database 122 according to the text overlap ratio threshold. For example, the threshold value of the text overlap rate can be set to 1/3, because the text overlap rate of 3/7 of the occupation identification information 320 "Guang Long Chang: Taipei" and the customer information 311 "Guang Long Chang Machinery: Hsinchu" is greater than the text overlap rate threshold value, the processor 121 can determine that there is a corresponding category label in the database 122 .

In one embodiment, the processor 121 determines whether there is a corresponding category tag in the database 122 according to whether the age in the occupation identification information is greater than a preset age threshold. Specifically, the database 122 can store customer information "Central University", and the default 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 old" in the occupation identification information is greater than the preset age threshold, the processor 121 can use this to determine the existence of the database 122 A category tag corresponding to occupational identification information "Central University: 50 years old".

In one embodiment, the processor 121 performs text semantic processing on the company name in the occupation identification information to determine whether there is a corresponding category tag 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 occupation identification information including the company name "Xinggang Sheng Fried Duck" to the server 120, the processor 121 can The company name "Xingangsheng Fried Duck" of the identification information performs text semantic processing. The processor 121 can use word segmentation technology to obtain the word segmentation result as "duck meat" from the company name "Xingang Sheng Fried Duck Meat" in the occupation identification information. Next, the processor 1210 may use the word vector (word2vec) to perform semantic expansion on the word segmentation result "duck", and the result of the semantic expansion may be "beef and pork". The processor 121 can use machine learning to compare similar words of the semantically expanded result "beef and pork" with the customer information "Dinghao Barbecue" and "Franklin Language Center". The result of the comparison can be "customer information "Ding Hao Roast Meat" is similar to the occupation identification information "Xingang Sheng Fried Duck", so the processor 121 can determine that there is a category label corresponding to the occupation identification information "Xingang Sheng Fried Duck" in the database 122 .

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 occupation category determination result to the electronic device 110 . In this embodiment, the occupation category determination result may be the category label determined by the processor 121 and already exists in the database 122 .

When the processor 121 determines that the category tag corresponding to the occupation identification information does not exist in the database 122, the electronic device 110 is connected to the external server 130 to search for the category tag corresponding to the occupation identification information. The Internet can include Local Area Network (LAN) or Wide Area Network (Wide Area Network, WAN), such as wireless wide area network supporting 3G, 4G or 5G standard or wireless local area network supporting Wifi standard, etc. But not as a limitation. In another embodiment, the external server 130 includes an external database, the external database is one of the category information of listed companies and the business tax registration information of the Ministry of Finance. That is to say, when the occupation category determination system 100 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 illustrating a method for determining an occupation category according to an embodiment of the present invention, wherein the occupation category determination method can be implemented by the occupation category determination system 100 shown in FIG. 1 . In step S401, at least one piece of occupation identification information is uploaded to the server. In step S402, it is determined whether there is corresponding category information in the database of the server according to at least one occupation identification information. After step S402 is executed, if the judgment result of step S402 is "Yes", step S403 is executed, and when the category tag corresponding to at least one occupation identification information exists in the database, the category information is returned to the electronic device, If the judgment result of step S402 is "No", execute step S404. When the category tag corresponding to at least one occupation 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 identifier.

To sum up, the occupation category judgment method and occupation category judgment system of the present invention can use the keywords of the category label to match the occupation identification information when determining the occupation category, and can also use the company location and customer information of the occupation identification information to determine the occupation category. In addition to the comparison, text semantic processing can be performed on the company name in the occupation identification information to determine whether there is a corresponding category label in the database. That is to say, the occupational category determination method and occupational category determination system of the present invention can more flexibly determine the occupational category when partial wrong or incomplete occupational identification information is input.

Although the present invention has been disclosed above with the embodiments, it is not intended to limit the present invention. Anyone with ordinary knowledge in the technical field may make some changes and modifications without departing from the spirit and scope of the present invention. The scope of protection of the present invention should be defined by the scope of the appended patent application.

100: Occupational 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 an occupational category determination system according to an embodiment of the present invention. FIG. 2 is a schematic diagram of judging whether there is a corresponding category tag in the database 122 according to an embodiment of the present invention. FIG. 3 is another schematic diagram of determining whether a corresponding category tag exists in the database 122 according to an embodiment of the present invention. FIG. 4 is a flowchart of a method for determining an occupation category according to an embodiment of the present invention.

100: Occupational Category Judgment System

110: Electronic device

120: server

121: Processor

122: database

130:External server

Claims (7)

A professional category judgment system, comprising: an electronic device; and a server, coupled to the electronic device, including a database and a processor, the database stores a plurality of category tags and customer information, wherein the electronic device will At least one occupational identification information is uploaded to the server, and the processor in the server judges whether there is a corresponding category tag in the database of the server according to the at least one occupational identification information, and when the at least one occupational identification information corresponds to When a category tag of occupational identification information exists in the database, the server returns an occupational category judgment result to the electronic device; when the category tag corresponding to the at least one occupational identification information does not exist in the database , then the electronic device is connected to an external server via the Internet to search to obtain a category tag corresponding to the at least one occupational identification information, wherein the at least one occupational identification information includes company name, company location, job title and age, wherein the processor compares the company name in the at least one occupation identification information with the customer information, and compares the company location in the at least one occupation identification information with the customer information, to determine whether there is a corresponding category label in the database, wherein if the company name of the at least one occupational identification information does not exactly match the customer information, and if the company location of the at least one occupational identification information does not match the One of the customer information is a match, the processor determines that there is a For the corresponding category tag, wherein the processor determines whether the corresponding category tag exists in the database according to whether the age in the at least one occupation identification information is greater than a preset age threshold. The occupation category judgment system as claimed in claim 1, wherein the category tags each have a plurality of keywords for matching the at least one occupation identification information. The occupation category determination system according to claim 2, wherein the processor compares the job title in the at least one occupation identification information with the keywords to determine whether there is a corresponding category label in the database. The occupation category determination system as claimed in claim 1, wherein the processor performs text semantic processing on the company name in the at least one occupation identification information to determine whether there is a corresponding category label in the database. The occupational category judging system as described in Claim 4, wherein the text semantic processing includes comparison of similar words based on word segmentation technology, word vectors and machine learning. The occupational category judgment system as described in Claim 1, wherein the external server includes an external database, and the external database is one of information on the category of listed companies and business tax registration information from the Ministry of Finance. A method for judging an occupational category, comprising: uploading at least one piece of occupational identification information to a server, wherein a database of the server stores multiple category tags and customer information, wherein the at least one occupational identification information includes company name, company location , job title and age, Judging whether there is corresponding category information in the database of the server according to the at least one occupational identification information, and when the category label corresponding to the at least one occupational identification information exists in the database, return the category information to the electronic device, and when the category tag corresponding to the at least one occupation identification information does not exist in the database, it is connected to an external server through the Internet to search, so as to obtain the information corresponding to the at least one occupation The category label of the occupational identification information, wherein the step of judging whether the corresponding category information exists in the database of the server according to the at least one occupational identification information includes: according to the company name in the at least one occupational identification information comparing with the customer information, and comparing the location of the company in the at least one occupation identification information with the customer information to determine whether there is a corresponding category label in the database, if the at least one occupation The company name of the identification information does not completely match the customer information, and if the company location of the at least one professional identification information matches one of the customer information, it is determined that there is a corresponding category label in the database , wherein the step of judging whether there is corresponding information of the category in the database of the server according to the at least one occupation identification information includes: according to whether the age in the at least one occupation identification information is greater than a preset age threshold, to determine whether there is a corresponding category label in the database.

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