Regional business administration information classification retrieval method and retrieval system based on artificial intelligence

Abstract

The invention discloses a regional business administration information classification retrieval method and retrieval system based on artificial intelligence, and the method comprises the steps: an information receiving and feature extraction module receives user query data, and extracts corresponding primary user information features according to the user query data; based on primary user information features, the information receiving and feature extraction module judges a query response state; determining a user category according to user basic information in the primary user information features; the regional business administration information classification retrieval service is completed.

Description

Technical Field

[0001] The present invention relates to the field of big data, and specifically to a method and system for classifying and retrieving regional business administration information based on artificial intelligence. Background Art

[0002] With the rapid economic development and the increasingly complex market environment, the quantity of business administration information has grown explosively, covering multiple aspects such as enterprise registration, market supervision, consumer rights protection, administrative licensing, administrative penalties, etc. Traditional information retrieval methods, such as keyword search, classified browsing, etc., are difficult to meet the users' needs for accurate and rapid information acquisition. Especially in the field of regional business administration, due to the wide range of information sources, diverse formats, and frequent updates, how to efficiently extract valuable information from massive data has become an urgent problem to be solved.

[0003] In the prior art, the retrieval of regional business administration information mainly relies on manual classification and simple database query systems. These methods have the following deficiencies:

[0004] Low efficiency: Manual classification requires a large amount of manpower and is easily affected by subjective factors, making it difficult to ensure classification accuracy and consistency. At the same time, as the amount of information increases, the speed of manual processing becomes a bottleneck.

[0005] Low intelligence level: Traditional database query systems lack intelligent analysis capabilities and cannot provide personalized services based on users' historical query behaviors, preferences, or query contexts, resulting in inaccurate query results and users having to spend extra time filtering useful information.

[0006] Security risks: For unregistered or unauthenticated users, traditional systems are difficult to effectively identify their identities, posing risks of information leakage and abuse. At the same time, for registered users, there is a lack of an effective query behavior monitoring mechanism, making it difficult to detect abnormal query behaviors in a timely manner, which may lead to account theft or illegal access to data.

[0007] Poor adaptability: Facing constantly changing query requirements and new information types, traditional systems are difficult to adjust flexibly and require frequent manual updates and maintenance, increasing management costs. Summary of the Invention

[0008] The purpose of the present invention is to overcome the deficiencies of the prior art and provide a method for classifying and retrieving regional business administration information based on artificial intelligence, including the following steps:

[0009] Step 1: The information reception and feature extraction module receives the user query data, extracts the corresponding primary user information features based on the user query data; based on the primary user information features, the information reception and feature extraction module determines the query response status; if the determination is a response status, proceed to Step 2; if it is a non-response status, ignore the received user query data;

[0010] Step 2: Determine the user category according to the user's basic information in the primary user information features; if it is a known registered and authenticated user, proceed to Step 3; otherwise, proceed to Step 4;

[0011] Step 3: The information reception and feature extraction module obtains the user query history information associated with the primary user information features, and matches and validates the user query history information with the corresponding user query history information stored in the cloud data management server; if the validation is successful, the information reception and feature extraction module executes the corresponding information retrieval strategy and proceeds to Step 6; if the validation fails, it is regarded that there is a risk in the user account, and the information reception and feature extraction module triggers a security alarm;

[0012] Step 4: The information reception and feature extraction module extracts the primary query feature in the primary user information features, and matches the primary query feature with the query features stored in the cloud data management server; the cloud data management server generates the business administration information service corresponding to the primary query feature according to the business administration information data associated with the matched query feature, and sends it to the information reception and feature extraction module, and proceeds to Step 5;

[0013] Step 5: The information reception and feature extraction module performs a consistency check on the business administration information service corresponding to the primary query feature sent by the cloud data management server and the query requirement data extracted from the user query data; if they are consistent, the information reception and feature extraction module executes the business administration information service corresponding to the primary query feature and proceeds to Step 6; otherwise, the information reception and feature extraction module adjusts the business administration information service corresponding to the primary query feature according to the query requirement data in the user query data, generates the business administration information service for the corresponding user, and executes this service, and proceeds to Step 6;

[0014] Step 6: Complete the regional business administration information classification retrieval service.

[0015] Further, the information receiving and feature extraction module receives user query data, and the primary user information features extracted include user basic information, user query history information, and query response instructions; the user basic information includes user identity and authentication information; if the query response instructions include specific query instructions, information query instructions, and login instructions, the information receiving and feature extraction module responds; otherwise, it does not respond; the user query history information includes user query records, such as query keywords, query time, etc.

[0016] Further, determining the user category according to the user basic information in the primary user information features includes: if the user information is a user who has been registered and authenticated in the cloud data management server, it is a known registered and authenticated user; otherwise, it is an unknown or unregistered user.

[0017] Further, the information receiving and feature extraction module obtains the user query history information associated with the primary user information features and performs matching verification, including: when a known registered and authenticated user sends query data, generating the corresponding user query behavior information according to the historical query records and preference data, comparing the user query history information associated with the primary user information features with the corresponding user query behavior information to obtain the user query behavior deviation degree; if the user query behavior deviation degree is greater than the deviation threshold, a user account risk warning is issued.

[0018] Further, the information receiving and feature extraction module extracts the primary query features in the primary user information features and performs matching, including: the primary query features are one or more of the highest query frequency and the longest query time in the user query records, obtaining the corresponding query keywords or query categories, and obtaining the corresponding business administration information target according to the corresponding query keywords or query categories, constituting the primary query features.

[0019] Further, the information receiving and feature extraction module performs a consistency check on the business administration information service corresponding to the primary query features sent by the cloud data management server and the query requirement data extracted from the user query data, including: extracting the query requirement data from the user query data to obtain the user query target; if the user query target is consistent with the query target of the business administration information service corresponding to the obtained primary query features, the consistency check is passed; the query target consistency means that the deviation degree between the user query target and the query target corresponding to the business administration information service corresponding to the primary query features is not greater than the set query target deviation threshold.

[0020] Further, the information receiving and feature extraction module adjusts the business administration information service corresponding to the primary query feature according to the query requirement data in the user query data, and generates the business administration information service corresponding to the user, including: merging the user query target with the query target in the primary query feature to form the query feature corresponding to the user, and obtaining the business administration information service corresponding to the user according to the query feature corresponding to the user.

[0021] The regional business administration information classification and retrieval system based on artificial intelligence, which applies the regional business administration information classification and retrieval method based on artificial intelligence, includes: a cloud data management server, an information receiving and feature extraction module, a data analysis module, a communication module and a user terminal device;

[0022] The information receiving and feature extraction module and the communication module are respectively connected to the data analysis module; the cloud data management server and the user terminal device are respectively communicatively connected to the communication module.

[0023] The beneficial effects of the present invention are: through the intelligent feature extraction and matching algorithm, the user query requirements can be quickly located, the user waiting time can be significantly reduced, and the information retrieval efficiency can be improved.

[0024] Using the artificial intelligence algorithm to analyze the user query history and behavior preferences, providing personalized services, making the retrieval results more in line with the user expectations, and enhancing the user experience.

[0025] Through the matching verification of the user query history information and the abnormal behavior warning mechanism, effectively identifying and preventing the risks of information leakage and account theft, and ensuring the user information security.

[0026] The system can automatically learn and adapt to the changing query requirements and new information types, reduce the manual update and maintenance costs, and improve the flexibility and scalability of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] Figure 1 It is a flow schematic diagram of the regional business administration information classification and retrieval method based on artificial intelligence;

[0028] Figure 2 It is a principle schematic diagram of the regional business administration information classification and retrieval system based on artificial intelligence;

[0029] Figure 3 It is a principle schematic diagram of the user terminal device. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0030] The technical solutions of the present invention will be further described in detail below with reference to the drawings, but the protection scope of the present invention is not limited to the following;

[0031] The features and performance of the present invention will be further described in detail below in conjunction with embodiments;

[0032] As Figure 1 shown, the regional business administration information classification and retrieval method based on artificial intelligence includes the following steps:

[0033] Step 1, the information reception and feature extraction module receives the user query data, extracts the corresponding primary user information features according to the user query data; based on the primary user information features, the information reception and feature extraction module judges the query response status; if it is judged as the response status, go to Step 2; if it is a non-response status, ignore the received user query data;

[0034] Step 2, determine the user category according to the user's basic information in the primary user information features; if it is a known registered and authenticated user, go to Step 3; otherwise, go to Step 4;

[0035] Step 3, the information reception and feature extraction module obtains the user query history information associated with the primary user information features, and matches and verifies the user query history information with the corresponding user query history information stored in the cloud data management server; if the verification is successful, the information reception and feature extraction module executes the corresponding information retrieval strategy and enters Step 6; if the verification fails, it is regarded that there is a risk in the user account, and the information reception and feature extraction module triggers a security alarm;

[0036] Step 4, the information reception and feature extraction module extracts the primary query feature in the primary user information features, and matches the primary query feature with the query features stored in the cloud data management server; the cloud data management server generates a business administration information service corresponding to the primary query feature according to the business administration information data associated with the matched query feature, and sends it to the information reception and feature extraction module, and enters Step 5;

[0037] Step 5, the information reception and feature extraction module performs a consistency check on the business administration information service corresponding to the primary query feature sent by the cloud data management server and the query requirement data extracted from the user query data; if they are consistent, the information reception and feature extraction module executes the business administration information service corresponding to the primary query feature and enters Step 6; otherwise, the information reception and feature extraction module adjusts the business administration information service corresponding to the primary query feature according to the query requirement data in the user query data, generates a business administration information service for the corresponding user, and executes the service, and enters Step 6;

[0038] Step 6, complete the regional business administration information classification and retrieval service.

[0039] The information receiving and feature extraction module receives the user query data, and the primary user information features extracted include user basic information, user query history information, and query response instructions; the user basic information includes user identity and authentication information; if the query response instructions include specific query instructions, information query instructions, and login instructions, the information receiving and feature extraction module responds; otherwise, it does not respond; the user query history information includes user query records, such as query keywords, query time, etc.

[0040] Determining the user category according to the user basic information in the primary user information features includes: if the user information is a user who has been registered and authenticated in the cloud data management server, it is a known registered and authenticated user; otherwise, it is an unknown or unregistered user.

[0041] The information receiving and feature extraction module obtains the user query history information associated with the primary user information features and performs matching verification, including: when a known registered and authenticated user sends query data, generating the corresponding user query behavior information according to the historical query records and preference data, comparing the user query history information associated with the primary user information features with the corresponding user query behavior information to obtain the user query behavior deviation degree; if the user query behavior deviation degree is greater than the deviation threshold, a user account risk warning is issued.

[0042] The information receiving and feature extraction module extracts the primary query features in the primary user information features and performs matching, including: the primary query features are one or more of the highest query frequency and the longest query time in the user query records, obtaining the corresponding query keywords or query categories, and obtaining the corresponding business administration information target according to the corresponding query keywords or query categories to form the primary query features.

[0043] The information receiving and feature extraction module performs a consistency check on the business administration information service corresponding to the primary query features sent by the cloud data management server and the query requirement data extracted from the user query data, including: extracting the query requirement data from the user query data to obtain the user query target; if the user query target is consistent with the query target of the business administration information service corresponding to the obtained primary query features, the consistency check is passed; the query target consistency means that the deviation degree between the user query target and the query target corresponding to the business administration information service corresponding to the primary query features is not greater than the set query target deviation threshold.

[0044] The described information receiving and feature extraction module adjusts the business administration information service corresponding to the primary query feature according to the query requirement data in the user query data, and generates the business administration information service corresponding to the user, including: merging the user query target with the query target in the primary query feature to form the query feature corresponding to the user, and obtaining the business administration information service corresponding to the user according to the query feature corresponding to the user.

[0045] As Figure 2 shown, the regional business administration information classification and retrieval system based on artificial intelligence applies the described regional business administration information classification and retrieval method based on artificial intelligence, including: a cloud data management server, an information receiving and feature extraction module, a data analysis module, a communication module, and a user terminal device;

[0046] The described information receiving and feature extraction module and communication module are respectively connected to the data analysis module; the cloud data management server and the user terminal device are respectively communicatively connected to the communication module.

[0047] As Figure 3 shown, the described user terminal device includes an information input module, a data processing module, a power module, and a mobile communication module;

[0048] The information input module, the power module, and the mobile communication module are respectively connected to the data processing module.

[0049] Specifically, the technical solution of the present invention includes the following steps:

[0050] Step 1: Information receiving and feature extraction

[0051] Information receiving: The information receiving and feature extraction module receives the query data sent by the user through the user terminal device.

[0052] Feature extraction: According to the user query data, the corresponding primary user information features are extracted, including but not limited to user basic information (such as user identity, authentication information), user query history information (such as query keywords, query time, etc.), and query response instructions.

[0053] Response status judgment: Based on the primary user information features, the information receiving and feature extraction module judges the query response status. If the query response instruction includes a specific query instruction, an information query instruction, and a login instruction, it is regarded as the response status, and step 2 is entered; otherwise, the received user query data is ignored, and the non-response status is maintained.

[0054] Step 2: User category determination

[0055] Determine the user category based on the basic user information in the primary user information characteristics. If the user information has been registered and authenticated in the cloud data management server, it is regarded as a known registered and authenticated user, and proceed to Step Three; otherwise, it is regarded as an unknown or unregistered user, and proceed to Step Four.

[0056] Step Three: Matching and Verification of User Query History Information

[0057] For known registered and authenticated users, the information receiving and feature extraction module obtains the user query history information associated with the primary user information characteristics.

[0058] Matching and Verification: Match and verify the user query history information with the corresponding user query history information stored in the cloud data management server. If the verification is successful, it indicates that the user's query behavior is normal, and the information receiving and feature extraction module executes the corresponding information retrieval strategy, and proceed to Step Six; if the verification fails, such as the deviation degree of the user's query behavior is greater than the set deviation threshold, it is regarded that there is a risk in the user account, and a security alarm is triggered.

[0059] Step Four: Matching of Primary Query Features

[0060] For unknown or unregistered users, the information receiving and feature extraction module extracts the primary query features in the primary user information characteristics, that is, one or more of the highest query frequency and the longest query time in the user query records, and obtains the corresponding query keywords or query categories.

[0061] Matching: Match the primary query features with the query features stored in the cloud data management server to find the relevant business administration information data.

[0062] Step Five: Consistency Check and Adjustment of Business Administration Information Services

[0063] Consistency Check: The cloud data management server generates the business administration information service corresponding to the primary query features according to the matched query features and sends it to the information receiving and feature extraction module. The information receiving and feature extraction module conducts a consistency check on the received service and the query requirement data extracted from the user query data.

[0064] Service Adjustment: If the consistency check passes, that is, the user's query target is consistent with the query target of the obtained business administration information service (the deviation degree is not greater than the set query target deviation threshold), then execute the service; otherwise, adjust the business administration information service corresponding to the primary query features according to the query requirement data in the user query data, generate the business administration information service corresponding to the user, and execute the service.

[0065] Step Six: Completion of Service

[0066] Complete the regional business administration information classification and retrieval service, and display the final result to the user or perform corresponding operations.

[0067] System composition

[0068] The artificial intelligence-based regional business administration information classification and retrieval system of the present invention applies the above method and includes:

[0069] Cloud data management server: Stores and manages regional business administration information data, and provides data query, matching, and analysis services.

[0070] Information reception and feature extraction module: Responsible for receiving user query data, extracting user information features, judging the response status, and interacting with the cloud data management server.

[0071] Data analysis module: Uses artificial intelligence algorithms to analyze the user's query history, behavior preferences, etc., and supports the formulation of personalized services and information retrieval strategies.

[0072] Communication module: Realizes data communication between the cloud data management server, the user terminal device, and the information reception and feature extraction module.

[0073] User terminal device: Includes an information input module, a data processing module, a power module, and a mobile communication module, and is used for the user to input a query request, receive, and display the retrieval result.

[0074] Embodiment 2: Query of business administration information of unknown or unregistered users

[0075] Ms. Li is a user who uses the system for the first time. She hopes to query the handling process of food business licenses in the local area through the website.

[0076] Implementation steps:

[0077] Step 1: Information reception and feature extraction

[0078] Ms. Li enters a query request on the website, and the information reception and feature extraction module receives the query data.

[0079] The module extracts the primary user information features of Ms. Li, including user identity (unknown or unregistered user), query history information (since it is the first use, the query history is empty), and query response instruction (information query instruction: query the handling process of food business licenses).

[0080] Judge that the query response instruction is an information query instruction, and enter Step 2.

[0081] Step 2: Determine the user category

[0082] Based on Ms. Li's basic user information, it is determined that she is an unknown or unregistered user, and proceed to Step Four.

[0083] (Step Three is skipped because the user is unknown or unregistered)

[0084] Step Four: Primary Query Feature Matching

[0085] The Information Receiving and Feature Extraction Module extracts the primary query feature in Ms. Li's query request, which is "the food business license application process".

[0086] Match the primary query feature with the query features stored in the cloud data management server to find relevant industrial and commercial information data.

[0087] Step Five: Consistency Check and Adjustment of Industrial and Commercial Information Services

[0088] The cloud data management server generates an industrial and commercial information service corresponding to the primary query feature, that is, the detailed food business license application process, and sends it to the Information Receiving and Feature Extraction Module.

[0089] The Information Receiving and Feature Extraction Module performs a consistency check on the received service and Ms. Li's query requirement data. The check result shows that the service content is completely consistent with the query requirements. The consistency check passes, and there is no need to adjust the service, so directly execute the service.

[0090] Step Six: Complete the service. The Information Receiving and Feature Extraction Module sends the food business license application process to the website front-end, and Ms. Li views and confirms that the information is detailed and accurate on the website.

Claims

1. A classification retrieval method for regional business administration information based on artificial intelligence, characterized in that: The steps include: Step 1: The information receiving and feature extraction module receives the user query data and extracts the corresponding primary user information features according to the user query data; based on the primary user information features, the information receiving and feature extraction module determines the query response state; if it is determined to be a response state, then proceed to step 2; If it is in a non-responsive state, the received user query data is ignored; Step 2: Determine the user category based on the user basic information in the primary user information feature; if the user is a known registered and authenticated user, proceed to step 3; otherwise, proceed to step 4; Step 3: The information receiving and feature extraction module obtains the user query history information associated with the primary user information feature, and matches and verifies the user query history information with the corresponding user query history information stored in the cloud data management server; if the verification is successful, the information receiving and feature extraction module executes the corresponding information retrieval strategy and enters step 6; if the verification fails, it is considered that the user account is at risk, and the information receiving and feature extraction module triggers a security alarm; Step 4: The information receiving and feature extraction module extracts the primary query feature from the primary user information feature, and matches the primary query feature with the query feature stored in the cloud data management server; the cloud data management server generates the business administration information service corresponding to the primary query feature according to the business administration information data associated with the matched query feature, and sends it to the information receiving and feature extraction module, and then proceeds to step 5; Step 5: The information receiving and feature extraction module performs a consistency check on the business administration information service corresponding to the primary query feature sent by the cloud data management server and the query demand data extracted from the user query data; if they are consistent, the information receiving and feature extraction module executes the business administration information service corresponding to the primary query feature and enters step 6; otherwise, the information receiving and feature extraction module adjusts the business administration information service corresponding to the primary query feature according to the query demand data in the user query data, generates the business administration information service corresponding to the user, and executes the service and enters step 6; Step six: Complete the regional industrial and commercial management information classification retrieval service.

2. The regional business administration information classification retrieval method based on artificial intelligence according to claim 1 is characterized in that: The information receiving and feature extraction module receives user query data, and the extracted primary user information features include user basic information, user query history information and query response instructions; user basic information includes user identity and authentication information; if the query response instruction includes a specific query instruction, an information query instruction and a login instruction, the information receiving and feature extraction module responds; otherwise, no response; user query history information includes user query records, and the user query records include query keywords and query time.

3. The regional business administration information classification retrieval method based on artificial intelligence according to claim 2 is characterized in that: The determining of the user category according to the basic user information in the primary user information feature includes: if the user information is a user who has been registered and authenticated in the cloud data management server, then the user is a known registered and authenticated user; otherwise, the user is an unknown or unregistered user.

4. The regional business administration information classification retrieval method based on artificial intelligence according to claim 3 is characterized in that: The information receiving and feature extraction module obtains user query history information associated with the primary user information feature and performs matching verification, including: when a known registered and authenticated user sends query data, the query behavior information of the corresponding user is generated according to the historical query record and preference data, and the user query history information associated with the primary user information feature is compared with the query behavior information of the corresponding user to obtain the user query behavior deviation; if the user query behavior deviation is greater than the deviation threshold, a user account risk warning is issued.

5. The regional business administration information classification retrieval method based on artificial intelligence according to claim 4 is characterized in that: The information receiving and feature extraction module extracts the primary query feature from the primary user information feature and matches it, including: wherein the primary query feature is one or more of the highest query frequency and the longest query time in the user query record, and the corresponding query keyword or query category is obtained, and the corresponding business administration information target is obtained according to the corresponding query keyword or query category, which constitutes the primary query feature.

6. The regional business administration information classification retrieval method based on artificial intelligence according to claim 5 is characterized in that: The information receiving and feature extraction module performs a consistency check on the query demand data extracted from the user query data based on the business administration information service corresponding to the primary query feature sent by the cloud data management server, including: obtaining the user query target based on the query demand data extracted from the user query data; if the user query target is consistent with the query target of the obtained business administration information service corresponding to the primary query feature, the consistency check is passed; the query target consistency means that the deviation between the user query target and the query target corresponding to the business administration information service corresponding to the primary query feature is not greater than the set query target deviation threshold.

7. The regional business administration information classification retrieval method based on artificial intelligence according to claim 6 is characterized in that: The information receiving and feature extraction module adjusts the business administration information service corresponding to the primary query feature according to the query demand data in the user query data, and generates the business administration information service for the corresponding user, including: merging the user query target with the query target in the primary query feature to form the query feature of the corresponding user, and obtaining the business administration information service for the corresponding user according to the query feature of the corresponding user.

8. Regional business administration information classification retrieval system based on artificial intelligence, characterized by: The method for classifying and retrieving regional business administration information based on artificial intelligence as described in any of claims 1 to 7 comprises: a cloud data management server, an information receiving and feature extraction module, a data analysis module, a communication module and a user terminal device; The information receiving and feature extraction module and the communication module are respectively connected to the data analysis module; the cloud data management server and the user terminal device are respectively connected to the communication module for communication.

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