Product label management method and device, equipment and storage medium
By identifying product label types, configuration management rules and calculating matching degrees, personalized product label recommendations are achieved, solving the problem of inefficiency in traditional methods and ensuring data security.
Patent Information
- Application Number
- CN202510316921.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-03-17
- Publication Date
- 2025-07-04
AI Technical Summary
Traditional product label management methods are inefficient, difficult to dynamically match user needs, and lack data security guarantees.
By obtaining product tags and identifying tag types, configuring management rules, calculating the matching degree of user demand item information and basic information, personalized product tag recommendations and encrypting and storing the recommended results.
It improves the efficiency of product label management, realizes personalized product label recommendations, and ensures data security.
Smart Images
Figure CN120258933A_ABST
Abstract
Description
Technical Field
[0001] The present invention belongs to the field of data processing technology, is applicable to the medical field and the financial field, and in particular relates to a method, device, equipment and storage medium for product label management. Background Art
[0002] With the rapid development of information technology, product label management is increasingly used in fields such as finance and healthcare. In financial scenarios, financial institutions need to accurately manage labels for financial products such as stocks, funds, and insurance to meet customers' diverse investment needs. In medical scenarios, the management of medical equipment, drugs, and medical records also faces challenges. Medical product labels not only need to accurately describe product characteristics, but also need to comply with strict regulatory requirements. However, traditional label management methods are inefficient, difficult to dynamically match user needs, and lack effective protection of data security.
[0003] In view of this, how to improve the management efficiency of product labels is a technical problem that needs to be solved urgently. Summary of the invention
[0004] The present invention provides a method, device, equipment and storage medium for managing product labels, so as to solve the technical problem of low management efficiency of existing product labels.
[0005] In a first aspect, the present invention provides a method for managing product labels, comprising:
[0006] Obtain a product label and identify the label type corresponding to the product label;
[0007] Configure the management rules for each identified product tag, and parse the management rules for each configured product tag;
[0008] Obtaining the requirement item information and basic information written by the user, and calculating the matching degree between various product tags and the user according to the requirement item information and basic information written by the user and the parsed management rules of various product tags;
[0009] The product tags are recommended for the products according to the calculated matching degree between various product tags and users, the recommended results of the product tags are obtained, and the recommended results of the product tags are encrypted and stored.
[0010] In a second aspect, the present invention provides a device based on product label management, the device is used to implement the product label management method as described in any one of the first aspects above, including:
[0011] An acquisition module, used to acquire a product label and identify a label type corresponding to the product label;
[0012] Configuration module, configured to configure management rules for each identified product label and parse the management rules for various configured product labels;
[0013] Calculation module, configured to obtain requirement item information and basic information written by a user, and calculate the matching degree between various product labels and the user according to the requirement item information and basic information written by the user, as well as the parsed management rules for various product labels;
[0014] Storage module, configured to recommend product labels for products according to the calculated matching degree between various product labels and the user, obtain a recommended result of product labels, and encrypt and store the recommended result of product labels.
[0015] In a third aspect, the present invention provides a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps of the above-mentioned method for managing product labels are implemented.
[0016] In a fourth aspect, the present invention provides a computer-readable storage medium storing a computer program, and when the computer program is executed by a processor, the steps of the above-mentioned method for managing product labels are implemented.
[0017] In the solution implemented by the above-mentioned method, device, device, and storage medium for managing product labels, product labels can be obtained through a client and the label type corresponding to the product labels can be identified; management rules for each identified product label are configured, and the management rules for various configured product labels are parsed; requirement item information and basic information written by a user are obtained, and the matching degree between various product labels and the user is calculated according to the requirement item information and basic information written by the user, as well as the parsed management rules for various product labels; product labels are recommended for products according to the calculated matching degree between various product labels and the user, a recommended result of product labels is obtained, and the recommended result of product labels is encrypted and stored. In the present invention, by calculating the matching degree through user requirement item information, basic information, and parsed management rules, product labels can be more accurately matched with user requirements to achieve personalized product label recommendation, effectively improving the management efficiency of product labels. In addition, encrypting and storing the recommended result of product labels effectively guarantees data security. Description of the Drawings
[0018] To more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for the description of the embodiments of the present invention. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.
[0019] Figure 1 It is a schematic diagram of an application environment of a method for product label management in an embodiment of the present invention;
[0020] Figure 2 It is a schematic flowchart of a method for product label management in an embodiment of the present invention;
[0021] Figure 3 is Figure 2 a schematic flowchart of a specific implementation manner of step S10 in
[0022] Figure 4 is Figure 2 a schematic flowchart of a specific implementation manner of step S30 in
[0023] Figure 5 It is a schematic structural diagram of a device based on product label management in an embodiment of the present invention;
[0024] Figure 6 It is a schematic structural diagram of a computer device in an embodiment of the present invention;
[0025] Figure 7 It is another schematic structural diagram of a computer device in an embodiment of the present invention. Specific implementation manner
[0026] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art without creative efforts based on the embodiments of the present invention belong to the scope of protection of the present invention.
[0027] The method for product label management provided by the embodiments of the present invention can be applied to an application environment such as Figure 1 Figure 1It is a schematic diagram of an application environment of the method for product label management in an embodiment of the present invention; wherein, the client communicates with the server through a network. The server can obtain product labels through the client and identify the label types corresponding to the product labels; configure the management rules for each identified product label and parse the management rules for various configured product labels; obtain the requirement item information and basic information written by the user, and calculate the matching degree between various product labels and the user according to the requirement item information and basic information written by the user, as well as the parsed management rules for various product labels; recommend product labels for the product according to the calculated matching degree between various product labels and the user, obtain the recommended result of the product labels, and encrypt and store the recommended result of the product labels. In the present invention, by calculating the matching degree through the user requirement item information, basic information, and the parsed management rules, the product labels can be more accurately matched with the user's requirements to achieve personalized product label recommendation, effectively improving the management efficiency of product labels. In addition, encrypting and storing the recommended result of the product labels effectively guarantees the security of data. The present invention will be described in detail through specific embodiments below.
[0028] Please refer to Figure 2 as shown in Figure 2 FIG. is a schematic flowchart of a method for product label management provided by an embodiment of the present invention. The method for product label management specifically includes the following steps:
[0029] S10: Obtain product labels and identify the label types corresponding to the product labels.
[0030] When the present invention manages product labels, first, product labels need to be obtained. In the financial scenario, relevant information of various financial products can be obtained through the data interface of the internal system of financial institutions, or product feature data can be extracted from the transaction records of financial trading platforms. In the medical scenario, data such as the disease diagnosis information, treatment plan, and medication records of patients can be obtained from the hospital's electronic medical record system. After obtaining the product labels, it is also necessary to identify the label types corresponding to the product labels and determine the specific types to which each label belongs. For example, match the "cold" indication label of a drug to the "cold" type in the disease category. Specifically, as Figure 3 described, Figure 3 FIG. is a schematic flowchart of a specific implementation manner of step S10, which specifically includes the following steps S11 - S12:
[0031] S11: Obtain product labels from the product label database and obtain the corresponding label type library for the product labels. Specifically, in the embodiments of the present invention, various label information corresponding to specific products can be obtained through the established product label database, and then the labels related to the current product can be obtained from the database. These labels cover information such as product attributes and categories.
[0032] S12: Match the obtained product labels with the label types in the corresponding label type library to determine the label types corresponding to the product labels. Specifically, in the embodiments of the present invention, the obtained product labels can be compared and matched one by one with the label types in the pre-constructed label type library. For example, in a medical scenario, if the product label is "disease name", such as "diabetes", the corresponding type, such as "chronic disease", can be found in the label type library. Through this matching, the specific label types to which the product labels belong can be determined for further analysis and management based on this type in the subsequent process.
[0033] S20: Configure the management rules for each identified product label and parse the configured management rules for various product labels. After the present invention obtains product labels in step S10 and identifies the label types corresponding to the product labels, it is necessary to configure the management rules for each identified product label and parse the configured management rules for various product labels. Specifically, it includes the following steps S21:
[0034] S21: Configure the validity period rules, update frequency rules, and permission rules for various product labels, and parse the configured validity period rules, update frequency rules, and permission rules for various product labels. Specifically, in the embodiments of the present invention, for different types of product labels, it is necessary to clearly define their validity periods. For example, in the financial field, the validity period of the credit card promotion activity label is configured as one month, and if the activity does not continue after one month, the label will automatically become invalid. It is also necessary to configure the time interval regulations for updates. For example, the financial product risk rating label needs to be updated according to the latest market data every quarter. It is also necessary to configure the access, modification, and creation permissions of different entities for product labels. For example, the account manager can view and modify the financial product recommendation labels exclusive to customers, while ordinary tellers can only view the public basic product labels. After configuring the validity period rules, update frequency rules, and permission rules for various product labels, it is also necessary to parse the configured validity period rules, update frequency rules, and permission rules for various product labels, and convert the configured rules for various product labels into computer-executable logical expressions.
[0035] S30: Obtain the requirement item information and basic information written by the user, and calculate the matching degree between various product tags and the user according to the requirement item information and basic information written by the user, as well as the management rules of various parsed product tags. Specifically, in the present invention, after parsing the management rules of various product tags in step S20, it is necessary to collect the specific requirements and basic information of the user. For example, in the user loan scenario, the requirement item information includes the amount, term, purpose, etc. of the loan the user wants, and the basic information includes the user's age, occupation, income status, credit record, etc.; in the medical scenario, the requirement item information includes the treatment method, disease diagnosis, rehabilitation needs, etc. that the patient hopes to obtain, and the basic information includes the patient's age, gender, medical history, allergy history, etc. After obtaining the requirement item information and basic information written by the user, it is also necessary to combine the parsed management rules of various product tags to calculate the matching degree between various product tags and the user, and determine the matching degree between the requirement item information and basic information of the user and each product tag through a matching degree algorithm. As Figure 4 described, Figure 4 is Figure 2 a schematic flowchart of a specific implementation manner of step S30 in it, specifically including the following steps S31 - S32:
[0036] S31: Obtain the requirement item information and basic information written by the user, and perform weighted processing on the requirement item information and basic information written by the user. Specifically, in the embodiment of the present invention, first, it is necessary to obtain the requirement item information and basic information written by the user. Then, it is necessary to assign weights to the obtained requirement item information and basic information according to their importance, so as to more accurately reflect the influence of each characteristic information on the recommendation result of the final product tag during subsequent analysis or decision-making.
[0037] S32: Match the weighted requirement item information and basic information written by the user with the parsed management rules of various product tags, and calculate the matching degree value between various product tags and the user through a preset matching degree algorithm. Specifically, it includes the following steps S321:
[0038] S321: Match the weighted requirement item information and basic information written by the user with the parsed management rules of various product tags, and calculate the matching degree value between various product tags and the user through the cosine similarity algorithm. Specifically, in the embodiment of the present invention, the matching degree value between various product tags and the user can be calculated through the cosine similarity algorithm, and the calculation formula of the cosine similarity algorithm is as shown in formula (1):
[0039]
[0040] Among them, A represents the vector of the weighted demand item information and basic information of the user, and B represents the vector of the management rules of the product tags. By calculating the matching degree values between various product tags and the user through the cosine similarity algorithm, the degree of fit between the user's needs and the product tags can be quantified, providing a basis for the subsequent recommendation of product tags.
[0041] S40: Recommend product tags for the product according to the calculated matching degrees between various product tags and the user, obtain the recommended results of the product tags, and encrypt and store the recommended results of the product tags. Specifically, it includes the following steps S41 - S44:
[0042] S41: Preset the matching degree threshold between various product tags and the user, and sort the calculated matching degrees between various product tags and the user. Specifically, in the embodiment of the present invention, first, preset the matching degree threshold between various product tags and the user, and then sort the specific matching degree values between various product tags and the user calculated by the matching degree algorithm, and arrange them in descending order, so as to more clearly screen out product tags that meet specific requirements in the follow-up.
[0043] S42: Screen out the product tags with a matching degree higher than the preset matching degree threshold and recommend them to the user, and encrypt and store the recommended results of the product tags. Specifically, in the embodiment of the present invention, first, screen out the tags that highly match the user's needs from all candidate tags through the preset matching degree threshold. For example, if the threshold is 70%, only the tags with a matching degree ≥ 70% are retained. Then, store the recommended results in the server through encryption technology to ensure that the data is not leaked or tampered with during transmission and storage. For example, a certain bank recommends credit card products to users, and can calculate the matching degrees between them and different credit card tags based on data such as the user's income level, credit score, and consumption habits. If the user has a high monthly consumption and often travels on business, it may match the "high - limit travel card", and then recommend this tag to the user.
[0044] S43: Establish an initial connection between the user's client and the server storing the recommended results of the product tags, and perform a handshake of the transport layer security protocol between the user's client and the server storing the recommended results of the product tags to negotiate the encryption algorithm and key for storing the recommended results of the product tags. Specifically, in the embodiment of the present invention, first, establish a communication link between the user's mobile App, web browser and other clients and the server storing the recommended results; then, the two parties negotiate the encryption algorithm and shared key through the transport layer security protocol to ensure the confidentiality and integrity of subsequent data transmission; finally, the server provides the client with a list of supported encryption algorithms, the client selects the algorithm supported by both parties and generates a session key, and finally establishes a secure channel.
[0045] S44: Verify the identity of the server storing the recommended results of product labels through a digital certificate, and encrypt and store the recommended results of product labels using the negotiated encryption algorithm and key. Specifically, in the embodiments of the present invention, when the user client connects to the server storing the recommended results, the server will send its digital certificate, which contains information such as the public key, domain name, and validity period; then, the client needs to verify whether the certificate is issued by a trusted certificate authority, check whether the domain name matches, whether the certificate has expired or been revoked. If the certificate verification passes, the client confirms that the server identity is legal and establishes a trust relationship; finally, the recommended results are encrypted and transmitted through the negotiated encryption algorithm.
[0046] It can be seen that in the above solution, when managing product labels, by calculating the matching degree through user requirement item information, basic information, and parsed management rules, the product labels can be more accurately matched with the user's needs to achieve personalized product label recommendations, effectively improving the management efficiency of product labels. In addition, encrypting and storing the recommended results of product labels effectively guarantees the security of data.
[0047] It should be understood that the magnitudes of the sequence numbers of the steps in the above embodiments do not mean the order of execution. The execution order of each process should be determined according to its function and internal logic, and should not constitute any limitation to the implementation process of the embodiments of the present invention.
[0048] In one embodiment, a device based on product label management is provided. The device based on product label management corresponds one-to-one with the method of product label management in the above embodiments. As Figure 5 shown, Figure 5 is a schematic structural diagram of a device based on product label management in an embodiment of the present invention. The device based on product label management includes an acquisition module 51, a configuration module 52, a calculation module 53, and a storage module 54. The detailed description of each functional module is as follows:
[0049] The acquisition module 51 is used to acquire product labels and identify the label types corresponding to the product labels;
[0050] The configuration module 52 is used to configure the management rules of each identified product label and parse the configured management rules of various product labels;
[0051] The calculation module 53 is used to acquire the user-written requirement item information and basic information, and calculate the matching degree between various product labels and the user according to the user-written requirement item information and basic information, as well as the parsed management rules of various product labels;
[0052] The storage module 54 is used to recommend product labels for products according to the matching degrees between various calculated product labels and users, obtain the recommended results of product labels, and encrypt and store the recommended results of product labels.
[0053] In one embodiment, the acquisition module 51 is specifically configured to:
[0054] Obtain product labels through a product label database, and obtain a label type library corresponding to the product labels;
[0055] Match the obtained product labels with the label types in the corresponding label type library to determine the label types corresponding to the product labels.
[0056] In one embodiment, the configuration module 52 is specifically configured to:
[0057] Configure the validity period rules, update frequency rules, and permission rules of various product labels, and analyze the configured validity period rules, update frequency rules, and permission rules of various product labels.
[0058] In one embodiment, the calculation module 53 is specifically configured to:
[0059] Obtain the requirement item information and basic information written by the user, and perform weighted processing on the requirement item information and basic information written by the user;
[0060] Match the weighted requirement item information and basic information written by the user with the management rules of various analyzed product labels, and calculate the matching degree values between various product labels and the user through a preset matching degree algorithm.
[0061] In one embodiment, the calculation module 53 is specifically configured to:
[0062] Match the weighted requirement item information and basic information written by the user with the management rules of various analyzed product labels, and calculate the matching degree values between various product labels and the user through a cosine similarity algorithm.
[0063] In one embodiment, the storage module 54 is specifically configured to:
[0064] Preset the matching degree thresholds between various product labels and the user, and sort the calculated matching degrees between various product labels and the user;
[0065] Screen out the product labels higher than the preset matching degree threshold to recommend product labels to the user, and encrypt and store the recommended results of product labels.
[0066] In one embodiment, the storage module 54 is specifically configured to:
[0067] Establish an initial connection between the user's client and the server storing the recommended results of product tags, and perform a handshake of the transport layer security protocol between the user's client and the server storing the recommended results of product tags to negotiate the encryption algorithm and key for the recommended results of product tags;
[0068] Verify the identity of the server storing the recommended results of product tags through digital certificates, and encrypt and store the recommended results of product tags using the negotiated encryption algorithm and key.
[0069] The present invention provides a device for product tag management. When performing product tag management, by calculating the matching degree through user requirement item information, basic information, and parsed management rules, the product tags can be more accurately matched with the user's requirements to achieve personalized product tag recommendation, effectively improving the management efficiency of product tags. In addition, encrypting and storing the recommended results of product tags effectively guarantees the security of data.
[0070] For the specific limitations of the device for product tag management, reference can be made to the limitations of the method for product tag management in the above text, which will not be elaborated here. Each module in the above device for product tag management can be implemented in whole or in part by software, hardware, and their combination. The above modules can be embedded in the processor of the computer device in hardware form or independent of it, or stored in the memory of the computer device in software form, so that the processor can call and execute the operations corresponding to the above modules.
[0071] In one embodiment, a computer device is provided. The computer device can be a server, and its internal structure diagram can be as Figure 6 shown. Figure 6 is a schematic structural diagram of the computer device in an embodiment of the present invention. The computer device includes a processor, a memory, a network interface, and a database connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes non-volatile and / or volatile storage media and internal memory. The non-volatile storage media stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage media. The network interface of the computer device is used to communicate with an external client through a network connection. When the computer program is executed by the processor, it realizes the functions or steps on the server side of a method for product tag management.
[0072] In one embodiment, a computer device is provided. The computer device can be a client, and its internal structure diagram can be as Figure 7 shown. Figure 7It is another schematic structural diagram of a computer device in an embodiment of the present invention. The computer device includes a processor, a memory, a network interface, a display screen, and an input device connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The network interface of the computer device is used to communicate with an external server through a network connection. When the computer program is executed by the processor, it realizes the functions or steps on the client side of a product label management method.
[0073] In one embodiment, a computer device is provided, including a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the computer program, the following steps are implemented:
[0074] Obtain product labels and identify the label types corresponding to the product labels;
[0075] Configure the management rules for each identified product label, and parse the management rules for various configured product labels;
[0076] Obtain the requirement item information and basic information written by the user, and calculate the matching degree between various product labels and the user according to the requirement item information and basic information written by the user, as well as the parsed management rules for various product labels;
[0077] Recommend product labels for the product according to the calculated matching degree between various product labels and the user, obtain the recommended result of the product labels, and encrypt and store the recommended result of the product labels.
[0078] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by the processor, the following steps are implemented:
[0079] Obtain product labels and identify the label types corresponding to the product labels;
[0080] Configure the management rules for each identified product label, and parse the management rules for various configured product labels;
[0081] Obtain the requirement item information and basic information written by the user, and calculate the matching degree between various product labels and the user according to the requirement item information and basic information written by the user, as well as the parsed management rules for various product labels;
[0082] Recommend product tags for products based on the calculated matching degrees between various product tags and users, obtain the recommended results of product tags, and encrypt and store the recommended results of product tags.
[0083] It should be noted that for the functions or steps that can be achieved by the above-mentioned computer-readable storage medium or computer device, reference can be made to the relevant descriptions on the server side and the client side in the foregoing method embodiments. To avoid repetition, they will not be described in detail here.
[0084] Those of ordinary skill in the art can understand that all or part of the processes of implementing the methods in the above embodiments can be completed by instructing relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the above method embodiments. Among them, any reference to a memory, storage, database, or other medium used in the various embodiments provided in the present application can include non-volatile and / or volatile memories. Non-volatile memories can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memories can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.
[0085] Those skilled in the art can clearly understand that for the convenience and brevity of description, only the above division of each functional unit and module is used as an example. In actual applications, the above functions can be allocated to different functional units and modules according to needs, 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.
[0086] The above-described embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: they can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements on some of the technical features; and these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the various embodiments of the present invention, and should all be included within the protection scope of the present invention.
Claims
1. A method for product label management, characterized in that, Including: Obtain product labels and identify the label types corresponding to the product labels; Configure the management rules for each identified product label and parse the management rules for each configured product label type; Obtain the requirement item information and basic information written by the user, and calculate the matching degree between each product label type and the user according to the requirement item information and basic information written by the user, as well as the parsed management rules for each product label type; Recommend product labels for the product according to the calculated matching degree between each product label type and the user, obtain the recommended result of the product label, and encrypt and store the recommended result of the product label.
2. The method for product label management according to claim 1, wherein The obtaining of product labels and the identification of the label types corresponding to the product labels include: Obtain product labels through a product label database and obtain a label type library corresponding to the product labels; Match the obtained product labels with the label types in the corresponding label type library to determine the label types corresponding to the product labels.
3. The method for managing product labels according to claim 1, wherein, The configuring of the management rules for each identified product label and the parsing of the management rules for each configured product label type include: Configure the validity period rules, update frequency rules, and permission rules for each product label type, and parse the validity period rules, update frequency rules, and permission rules for each configured product label type.
4. The method for product label management according to claim 1, characterized in that, The obtaining of the requirement item information and basic information written by the user, and the calculation of the matching degree between each product label type and the user according to the requirement item information and basic information written by the user, as well as the parsed management rules for each product label type, include: Obtain the requirement item information and basic information written by the user and perform weighted processing on the requirement item information and basic information written by the user; Match the weighted requirement item information and basic information written by the user with the parsed management rules for each product label type, and calculate the matching degree value between each product label type and the user through a preset matching degree algorithm.
5. The method for product label management according to claim 4, characterized in that, The matching of the weighted requirement item information and basic information written by the user with the parsed management rules for each product label type, and the calculation of the matching degree value between each product label type and the user through a preset matching degree algorithm include: Match the weighted requirement item information and basic information written by the user with the parsed management rules for each product label type, and calculate the matching degree value between each product label type and the user through a cosine similarity algorithm.
6. The method for product label management according to claim 1, characterized in that, The recommending of product labels for the product according to the calculated matching degree between each product label type and the user, obtaining the recommended result of the product label, and encrypting and storing the recommended result of the product label include: Preset the matching degree threshold between each product label type and the user, and sort the calculated matching degree between each product label type and the user; Screen out the product labels with a matching degree higher than the preset matching degree threshold and recommend them to the user, and encrypt and store the recommended result of the product label.
7. The method for managing product labels according to claim 1, wherein Based on the calculated matching degrees between various types of product tags and the user, recommend product tags for the products, obtain the recommended results of product tags, and encrypt and store the recommended results of product tags. It further includes: Establish an initial connection between the user's client and the server storing the recommended results of product tags, and perform a handshake of the transport layer security protocol between the user's client and the server storing the recommended results of product tags to negotiate the encryption algorithm and key for storing the recommended results of product tags; Verify the identity of the server storing the recommended results of product tags through a digital certificate, and encrypt and store the recommended results of product tags using the negotiated encryption algorithm and key.
8. An apparatus for product label management, characterized in that, The device is used to implement the method for product tag management as described in any one of claims 1-7, including: An acquisition module, used to acquire product tags and identify the tag types corresponding to the product tags; A configuration module, used to configure the management rules for each identified product tag, and parse the configured management rules for various types of product tags; A calculation module, used to acquire the requirement item information and basic information written by the user, and calculate the matching degrees between various types of product tags and the user according to the requirement item information and basic information written by the user, as well as the parsed management rules for various types of product tags; A storage module, used to recommend product tags for the products based on the calculated matching degrees between various types of product tags and the user, obtain the recommended results of product tags, and encrypt and store the recommended results of product tags.
9. A computer 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, it implements the steps of the method for product tag management as described in any one of claims 1 to 7.
10. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it implements the steps of the method for product tag management as described in any one of claims 1 to 7.