Standard website information management method and device, electronic equipment and readable storage medium

Abstract

The invention provides a standard website information management method and device, electronic equipment and a readable storage medium, and belongs to the technical field of information management.The method comprises the steps that a standard information set is classified according to the content of the standard information set and a classification standard to obtain classification tags, displaying the standard information in the standard information set at the corresponding position of the standard website according to the classification label; processing the standard information set according to a comparison result of the life cycle of the standard information and a preset life cycle to obtain a first standard information set; and updating the first standard information set displayed by the standard website according to the historical page view of the standard information in the first time and the field where the standard information is located. According to the method, the data visualization degree of the website information can be improved, and the user experience is improved.

Description

Technical Field

[0001] The present disclosure belongs to the technical field of information management, and more specifically, relates to a standard website information management method and device, an electronic device, and a readable storage medium. Background Art

[0002] As an important information carrier on the Internet, websites carry a large amount of multimedia information such as text, pictures, and videos. This information is of great value to website operators, users, and the entire society. Therefore, effective management of website information and ensuring the accuracy, integrity, security, and timeliness of information are of great significance for improving the service quality of websites, enhancing user experience, and maintaining social stability. The existing standard website information management system has certain deficiencies in data visualization and other aspects. If data is not updated in a timely manner, it is easy to cause a poor user experience. Summary of the invention

[0003] The purpose of the present disclosure is to provide a standard website information management method and device, electronic device, and readable storage medium to improve the data visualization of website information and enhance user experience.

[0004] A first aspect of the embodiments of the present disclosure provides a standard website information management method, including: Classifying the standard information set according to the content and classification standard of the standard information set to obtain classification labels, and displaying the standard information in the standard information set at a corresponding position on the standard website according to the classification labels; Processing the standard information set according to a comparison result between the life cycle of the standard information and a preset life cycle to obtain a first standard information set; The first standard information set displayed on the standard website is updated according to the historical visits to the standard information within the first time and the field in which the standard information is located.

[0005] A second aspect of the embodiments of the present disclosure provides a standard website information management device, including: A classification module, used to classify the standard information set according to the content and classification standard of the standard information set to obtain a classification label, and display the standard information in the standard information set at a corresponding position on the standard website according to the classification label; A processing module, configured to process the standard information set according to a comparison result between the life cycle of the standard information and a preset life cycle to obtain a first standard information set; The updating module is used to update the first standard information set displayed on the standard website according to the historical visits of the standard information in the first time and the field where the standard information is located.

[0006] According to a third aspect of an embodiment of the present disclosure, an electronic device is provided, comprising a memory, a processor, and a computer program stored in the memory and running on the processor, wherein the processor implements the steps of the above-mentioned standard website information management method when executing the computer program.

[0007] According to a fourth aspect of the embodiments of the present disclosure, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the above-mentioned standard website information management method are implemented.

[0008] The standard website information management method and device, electronic device, and readable storage medium provided by the embodiments of the present disclosure have the following beneficial effects: The disclosure can improve user experience and optimize website management and maintenance. On the one hand, the disclosure classifies the standard information set according to the content and classification standards, and displays the standard information at the corresponding position of the standard website accordingly, so that users can find the required information more quickly, thereby improving the efficiency of information retrieval. At the same time, the standard information is screened and processed in combination with the life cycle to ensure that the first standard information set, that is, the information that is active or about to become active, is displayed to the user, thereby avoiding the user from being exposed to outdated or invalid information and improving the accuracy and timeliness of the information.

[0009] On the other hand, the present disclosure also updates the first standard information set by considering the historical visits and fields of standard information, which not only meets the actual needs of users, but also accurately grasps the frequency of information updates in different fields. This dynamic update mechanism not only helps to maintain the freshness of website content, but also effectively reduces the workload of website administrators and improves management efficiency. In addition, through the analysis of historical access data, the website can further optimize the information layout and recommendation strategy, attract more users to visit, and enhance the overall influence and commercial value of the website. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] In order to more clearly illustrate the technical solutions in the embodiments of the present disclosure, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present disclosure. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0011] Figure 1 A flowchart of a standard website information management method provided by an embodiment of the present disclosure; Figure 2 A structural block diagram of a standard website information management device provided by an embodiment of the present disclosure; Figure 3A structural block diagram of a standard website information management device provided by another embodiment of the present disclosure; Figure 4 A schematic block diagram of an electronic device provided by an embodiment of the present disclosure. DETAILED DESCRIPTION

[0012] In the following description, specific details such as specific system structures and technologies are provided for the purpose of illustration rather than limitation, so as to provide a thorough understanding of the embodiments of the present disclosure. However, it should be clear to those skilled in the art that the present disclosure may be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to avoid obstructing the description of the present disclosure with unnecessary details.

[0013] In order to make the purpose, technical solutions and advantages of the present disclosure more clear, specific embodiments will be described below in conjunction with the accompanying drawings.

[0014] Please refer to Figure 1 , Figure 1 A flow chart of a standard website information management method provided in an embodiment of the present disclosure, the method comprising: S101: classifying the standard information set according to the content and classification standard of the standard information set to obtain classification labels, and displaying the standard information in the standard information set at a corresponding position on the standard website according to the classification labels.

[0015] In this embodiment, standard information generally refers to information content that follows certain specifications, standards or criteria. Standard information is universal, general and repeatable, and can ensure the consistency and accuracy of information, so as to facilitate the exchange, understanding and application of information. The formulation and publication of standard information are usually the responsibility of authoritative institutions, industry associations or standardization organizations to ensure the authority and credibility of information. A collection of standard information on a certain subject or field is a standard information set. In a specific field or industry, a standard information set contains some basic and widely recognized information, such as technical parameters, product specifications, service standards, etc. For example, in the field of intellectual property technology, a standard information set may include a patent information set, a trademark information set, a copyright information set, an intellectual property law and regulation set, an intellectual property service information agency set, etc. A standard website is a website dedicated to publishing, displaying and managing standard information. A standard website usually contains a large number of standard information sets, and enables users to easily find and use this information through various means (such as classification tags, search functions, etc.).

[0016] Taxonomies are rules used to classify and categorize information. Taxonomies have a clear framework that helps people categorize information based on specific attributes or characteristics. Taxonomies can be based on different dimensions, such as topic, content type, audience, etc.

[0017] Classification tags are labels generated by classifying standard information sets based on classification standards. Each classification tag represents a specific type of information or data in the information set. The role of classification tags is to help users quickly find the information they are interested in or need, and also make the organization and management of information more orderly and efficient.

[0018] The corresponding position is used to display the location of specific classification information. These positions can be pre-set pages, areas or columns, and the relevant information is displayed to users according to the classification label.

[0019] In this embodiment, the standard information set is classified according to the content and classification standard of the standard information set to obtain classification labels, including: Input the content and classification criteria of the standard information set into the classification model to obtain the classification label corresponding to each piece of standard information in the standard information set; Alternatively, a keyword library is constructed, and the keyword library corresponding to different categories is determined according to the classification standard; each piece of standard information in the standard information set is preprocessed to obtain a group of target keywords; and the corresponding classification labels are determined according to the matching results between the group of target keywords and the words in the keyword library; Alternatively, a multi-level classification system architecture can be constructed based on the classification standards, from the first level to the nth level, and the standard information can be compared with the classification features of each level to obtain the classification label corresponding to each piece of standard information.

[0020] In this embodiment, the content of the standard information set and the classification standard are input into the classification model to obtain the classification label corresponding to each standard information in the standard information set, which means: the content of the standard information set is cleaned and formatted to ensure the consistency and accuracy of the data. The classification standard is converted into a form recognizable by the model, such as a label or a vector. A suitable neural network model is selected, such as a convolutional neural network, a recurrent neural network, etc. The model is trained using a training data set with classification labels so that it learns the mapping relationship between the content of the standard information set and the classification label. The content of the standard information set to be classified is input into the trained model. The model outputs the corresponding classification label based on the input content.

[0021] In this embodiment, a keyword library is constructed, and the keyword library corresponding to different categories is determined according to the classification standard; each standard information in the standard information set is preprocessed to obtain a group of target keywords; and the corresponding classification label is determined according to the matching results of the group of target keywords and the words in the keyword library, which means: first, according to the classification standard (such as industry, theme, etc.), collect keywords related to each category. Keywords can be extracted from existing documents, web pages, databases and other sources. The collected keywords are classified according to the classification standard and stored in one or more keyword libraries. Each category corresponds to a keyword subset, and the keywords between each keyword subset do not overlap to ensure the accuracy of classification. The keyword library is regularly checked and updated, outdated or irrelevant keywords are deleted, and new and more representative keywords are added. Each standard information in the standard information set is preprocessed, including removing irrelevant characters (such as punctuation marks, numbers, etc.), segmenting words, removing stop words, etc. A group of target keywords are extracted from the preprocessed standard information using text mining technology. A matching algorithm is determined, and the extracted target keywords are matched with the words in the keyword library using the matching algorithm; according to the matching results, the classification label corresponding to the standard information is determined. If a piece of standard information matches keyword subsets of multiple categories at the same time, the keyword subsets corresponding to the first m matching degrees are selected based on the matching degree between the standard information and the keyword subsets of multiple categories, and the classification label corresponding to the piece of standard information is determined based on the context information.

[0022] According to the classification standard, a multi-level classification system architecture is constructed. From the first layer to the nth layer, the standard information is compared with the classification features of each layer to obtain the classification label corresponding to each standard information, which is expressed as: When standard information enters the classification system, it is compared with the classification features of each layer in turn. The first layer is usually a relatively broad classification, which is used to divide the standard information into general fields or categories. As the layers go deeper, the classification features are gradually refined, and the division of standard information becomes more precise. At each layer, the system will assign one or more corresponding classification labels to it according to the degree of match between the standard information and the classification features of the current layer. These labels will be passed to the next layer as the output results of the layer for further classification. When the standard information has been classified at all levels, the system will combine the classification results of each level to determine the final classification label. These labels can comprehensively and accurately reflect the attributes and characteristics of the standard information.

[0023] For example, a multi-level classification system architecture can be a decision tree architecture. The decision tree architecture starts with the root node, which represents the starting point of the classification. Each layer of nodes represents different classification features or attributes, which are selected and sorted according to the classification criteria. The standard information is used as input, starting from the root node, and decides which child node to go down to based on the degree of match with the feature represented by the current node. The advantage of the decision tree architecture is its intuitiveness and ease of understanding, while being able to handle complex classification problems. By adjusting and optimizing the structure and feature selection of the decision tree, the accuracy and efficiency of classification can be further improved. This architecture has a wide range of application value in fields such as standard information management and data mining.

[0024] S102: Processing the standard information set according to the comparison result between the life cycle of the standard information and the preset life cycle to obtain a first standard information set.

[0025] In this embodiment, when the standard information set is processed based on the comparison result of the life cycle of the standard information and the preset life cycle, the processing includes identifying and marking those standard information whose life cycle has expired or is about to expire, thereby generating a first standard information set, wherein the first standard information set contains standard information that is currently valid or valid within a preset time.

[0026] The standard information set is processed according to the comparison result between the life cycle of the standard information and the preset life cycle to obtain a first standard information set, further comprising: The life cycle status of each piece of standard information is evaluated to determine whether it is in an active period, about to expire, or expired. Based on the evaluation results, the standard information in an active period and about to expire is classified into a first standard information set, and the expired standard information is classified into a second standard information set for different processing or archiving.

[0027] After the standard information set is processed according to the comparison result of the life cycle of the standard information and the preset life cycle to obtain the first standard information set, it also includes: sorting the standard information in the first standard information set according to the priority or urgency, and generating a third standard information set, so as to facilitate the user or device to perform subsequent processing or decision-making according to the priority or urgency.

[0028] After the standard information set is processed according to the comparison result between the life cycle of the standard information and the preset life cycle to obtain the first standard information set, it also includes: reviewing the standard information in the first standard information set at a second time interval, and updating the first standard information set according to the review result. Regularly reviewing the standard information in the first standard information set can confirm the accuracy of its life cycle status. According to the review result, the first standard information set is updated, including removing the standard information that has become expired and adding the standard information that has become active or is about to expire.

[0029] S103: updating the first standard information set displayed on the standard website according to the historical number of visits to the standard information within the first time and the field in which the standard information is located.

[0030] In this embodiment, the standard website can record the number and time of access to each standard information to form historical access data. For those standard information with high access volume and high user attention, the website can give priority to them when updating the first standard information set.

[0031] Different fields have different update frequencies and update requirements. For example, the standard information in the field of science and technology is updated faster because technology develops rapidly; while the standard information in the field of law is updated relatively slowly because the legal system is relatively stable. The standard website will formulate corresponding update strategies based on the characteristics of each field. For example, if the field where the standard information is located belongs to the first category, the first standard information set is updated with the first update frequency; if the field where the standard information is located belongs to the second category, the first standard information set is updated with the second update frequency; the first update frequency is greater than the second update frequency. For example, for standard information in the field of science and technology (the first category), the website can adopt a more frequent update method (for example, once a month) to ensure that users can obtain the latest technical developments; and for standard information in the field of law (the second category), a more stable update method (for example, once a year) can be adopted to avoid unnecessary troubles to users.

[0032] From the above, it can be concluded that the present disclosure can improve user experience and optimize website management and maintenance. On the one hand, the present disclosure classifies the standard information set according to the content and classification standards, and displays the standard information at the corresponding position of the standard website accordingly, so that users can find the required information more quickly, thereby improving the efficiency of information retrieval. At the same time, the screening process is combined with the life cycle of the standard information to ensure that the first standard information set, that is, the information that is active or about to become active, is displayed to the user, thereby avoiding the user from being exposed to outdated or invalid information and improving the accuracy and timeliness of the information.

[0033] On the other hand, the present disclosure also updates the first standard information set by considering the historical visits and fields of standard information, which not only meets the actual needs of users, but also accurately grasps the frequency of information updates in different fields. This dynamic update mechanism not only helps to maintain the freshness of website content, but also effectively reduces the workload of website administrators and improves management efficiency. In addition, through the analysis of historical access data, the website can further optimize the information layout and recommendation strategy, attract more users to visit, and enhance the overall influence and commercial value of the website.

[0034] In one embodiment of the present disclosure, classifying the standard information set according to the content of the standard information set and the classification standard to obtain a classification label includes: The content of the standard information set and the classification standard are input into the classification model to obtain the classification label corresponding to each standard information in the standard information set. The classification model is a trained neural network model.

[0035] In this embodiment, the classification model is a machine learning model that is used to automatically classify input information into one or more predefined categories. The classification model can be a convolutional neural network, a recurrent neural network, a feedforward neural network, etc. The classification model can predict the category of unknown data by learning the relationship between the features and categories of known data. A trained neural network model refers to a neural network model that has been trained and optimized with a large amount of data, and the neural network model can recognize and extract the features of the input data, and make decisions or predictions based on these features.

[0036] In this embodiment, the content and classification criteria of the standard information set are used as input data and input into the classification model. The classification model contains a multi-layer complex network structure and a large number of parameters. These parameters have been optimized and adjusted through a large number of standard information samples and corresponding classification labels during the model training phase. When the content and classification criteria of the standard information set are input into the model, the model will use these input data to forward propagate through its internal network layer. In this process, the model will extract the key features in the standard information, and calculate the probability that each standard information belongs to each category based on the association between these features and the classification criteria, and assign one or more classification labels to each standard information based on the calculated probability values. These labels represent the main content and category of the standard information.

[0037] From the above, it can be concluded that since the neural network model has strong learning and generalization capabilities, it can accurately generate appropriate classification labels for each standard information based on the input standard information content and classification criteria, thereby realizing the automatic and intelligent classification of standard information sets.

[0038] In one embodiment of the present disclosure, the standard website information management method further includes: Determine the iteration parameters of the neural network model according to the data volume of the standard information set and the complexity of the neural network model; The neural network model is trained according to the iterative parameters to obtain the classification model.

[0039] In this embodiment, when training the neural network model, a series of parameters need to be set to control the training process of the model, such as learning rate, number of iterations, batch size, etc. These parameters are called iteration parameters, which have an important impact on the training effect and performance of the model.

[0040] The data volume of the standard information set refers to the number of samples contained in the standard information set. The larger the data volume, the more information the model needs to learn, and the more iterations are required to ensure that the model can fully learn the characteristics of the data. The complexity of the model is usually determined by factors such as the number of layers, the number of neurons, and the number of parameters of the neural network. The more complex the model, the stronger its learning ability is usually, but it also means that more computing resources and time are required for training.

[0041] It can be concluded from the above that the present disclosure can more accurately control the training process of the neural network model by determining the iteration parameters according to the data volume of the standard information set and the complexity of the neural network model. The standard website information management method provided in this embodiment improves the efficiency and effect of model training, making the final classification model more accurate and reliable, thereby improving the overall performance of standard website information management.

[0042] In one embodiment of the present disclosure, determining the iteration parameters of the neural network model according to the data volume of the standard information set and the complexity of the neural network model includes: The number of features is determined according to the data volume of the standard information set, and the iteration parameters of the neural network model are determined according to the number of features and the complexity of the neural network model.

[0043] In this embodiment, the number of features is used to describe the number of attributes or variables of the data sample. The number of features determines the dimension of the neural network input layer and has a direct impact on the complexity and learning ability of the model. A larger number of features can increase the complexity of the model, and can also improve the expressiveness and accuracy of the model.

[0044] Determining the iteration parameters of the neural network model according to the number of features and the complexity of the neural network model, including: determining the learning rate, number of iterations and batch size of the neural network model according to the number of features and the complexity of the neural network model.

[0045] In this embodiment, the learning rate determines the magnitude of the model parameter update in each iteration. A learning rate that is too large will cause the model to oscillate near the optimal solution, and a learning rate that is too small will result in a slow training process. The number of iterations refers to the number of times the model performs forward propagation and backpropagation on the entire training data set. Insufficient iterations will result in underfitting of the model, and too many iterations will result in overfitting. The batch size determines the number of data samples used to train the model in each iteration, and the batch size affects the training speed of the model and the stability of the gradient update.

[0046] For example, when the number of features is large and the model complexity is high, the model needs more iterations to fully learn the features of the data. At the same time, in order to maintain the stability of the training, a smaller learning rate and a moderate batch size need to be selected. On the contrary, when the number of features is small and the model complexity is low, the model may not need too many iterations to achieve good performance. At this time, a larger learning rate and / or batch size can be selected to speed up the training process.

[0047] It can be concluded from the above that this embodiment can accurately obtain the iteration parameters of the neural network model by associating the data volume, feature quantity and complexity of the standard information set of the neural network model. This method not only ensures the adequacy and effectiveness of model training, but also avoids unnecessary consumption of computing resources.

[0048] In an embodiment of the present disclosure, the standard information set is processed according to the comparison result between the life cycle of the standard information and the preset life cycle to obtain a first standard information set, including: If the life cycle of the standard information is greater than or equal to the preset life cycle, the standard information is marked as expired information, and the expired information is stored in the first database; The expired information in the standard information set is processed to obtain a first standard information set.

[0049] In this embodiment, the life cycle refers to the entire time span of the standard information from creation, use to expiration or update. It reflects the validity period or applicable period of the standard information. The preset life cycle is a time length pre-set in the standard website, which is used to determine whether the standard information has reached or exceeded its validity period. Each piece of standard information corresponds to a preset life cycle.

[0050] When the life cycle of the standard information is greater than or equal to the preset life cycle, the information is regarded as expired information, that is, no longer valid or no longer meets the current standard requirements. The first database is a database for storing expired information.

[0051] In this embodiment, the device checks the life cycle of each piece of standard information in the first standard information set at a third time interval, compares the life cycle with the preset life cycle corresponding to the standard information, and determines whether the standard information is expired information. If the life cycle of a piece of standard information is greater than or equal to the preset life cycle, then the information is considered expired. Information marked as expired will be stored in the first database. After marking and storing the expired information, the device will process the remaining standard information (i.e., non-expired information). For example, screening, sorting, updating, etc. to obtain an updated standard information set, namely the "first standard information set". The first standard information set contains all currently valid standard information, which can be used for subsequent decision-making, analysis or other purposes.

[0052] After the expired information in the standard information set is processed to obtain the first standard information set, the method further includes: Every fourth time, the data in the standard data set is transmitted to the cloud server.

[0053] In this embodiment, regularly transmitting standard data sets to the cloud server enhances data reliability and security and prevents local data loss; in addition, cloud storage also facilitates remote access and sharing of data, improves the convenience and flexibility of data use, and provides strong support for data analysis and decision-making.

[0054] It can be concluded from the above that this embodiment effectively identifies and marks expired information by comparing the life cycle of standard information with the preset life cycle, thereby ensuring the timeliness and accuracy of the standard information set. At the same time, the processed first standard information set only contains valid standard information, thereby improving information use efficiency.

[0055] In one embodiment of the present disclosure, the standard information includes static information and web page request information; Standard website information management methods also include: In response to receiving an access instruction from the first user: If the standard information is static information, returning the static information to the first user; If the standard information is web page request information, it is determined whether to return the web page request information to the first user according to the authorization information of the first user.

[0056] In this embodiment, static information refers to information that does not change over time or with user requests, such as standard documents (text, images, audio, and other files) of a standard website. Web page request information refers to information requests triggered by user behavior (such as clicking a link, etc.) when a user accesses a website through a browser or other client. This information is usually dynamically generated and may vary based on the user's identity, location, preferences, or other factors. The first user refers to the user who issues an access instruction, that is, the user who accesses the website information. An access instruction refers to a request issued by a user in some way (such as clicking a link, entering a URL, etc.) to access information on the website. Authorization information refers to data on whether a user has the right to access specific information. In this embodiment, if the standard information is a web page request information, the standard website will decide whether to return this information to the user based on the user's authorization information. This ensures that only users with appropriate permissions can access sensitive or restricted information.

[0057] In this embodiment, when the standard website receives the access instruction of the first user, it will first identify the type of standard information requested by the instruction. Standard information includes static information and web page request information. If the standard website determines that the requested standard information is static information, it will directly retrieve the corresponding content from the database or server storing the static information. Subsequently, the standard website will directly return the retrieved static information to the first user without additional processing or verification.

[0058] If the standard website determines that the requested standard information is web page request information, it will further process it according to the authorization information of the first user. The user's authorization information usually includes the user's identity authentication information, access rights, etc. The standard website will determine whether the first user has the right to access the requested web page request information based on this information. If the first user has the corresponding access rights, the standard website will retrieve the corresponding web page request information and return it to the first user. If the first user does not have access rights, the standard website may reject the access request or prompt the user to apply for permission.

[0059] It can be concluded from the above that this embodiment can intelligently distinguish and respond to static information and web page request information, thereby improving information access efficiency. For static information, it is directly returned to reduce processing time; for web page request information, access control is performed based on user authorization to ensure information security. This method not only optimizes the user experience, but also enhances the flexibility and security of information management.

[0060] In an embodiment of the present disclosure, updating the first standard information set displayed on the standard website according to the historical visits to the standard information within the first time and the field where the standard information is located includes: If the historical number of visits to the standard information is greater than the first number of visits, and the field in which the standard information is located is the first field, the standard information is displayed in the core display area of ​​the standard website, and the first standard information set displayed on the standard website is updated, and the standard information belongs to the first standard information set; If the historical number of visits to the standard information is less than the first number of visits, and the field in which the standard information is located is the second field, the standard information is stored in the second database, and the first set of standard information displayed on the standard website is updated; The importance level of the first field information is greater than the importance level of the second field information.

[0061] In this embodiment, the standard website counts the number of visits to each standard information within a preset time period, that is, the historical visits. If the historical visits to a certain standard information exceeds the preset first visit threshold, the standard website will consider that the standard information has a high popularity in the current time period. In addition to the historical visits, the standard website will also consider the field in which the standard information is located. In this embodiment, the field in which the standard information is located includes the first field and the second field, wherein the information in the first field has a higher level of importance. The division of fields is based on multiple factors, such as the attention of the industry, the influence of policies, the innovation of technology, etc. For standard information with high historical visits and in the first field, the standard website will place it in the core display area of ​​the standard website so that more users can see and access this information. At the same time, the standard website will include this information in the first standard information set and update the display content of the website. For standard information with low historical visits or in the second field, the standard website will not place it in the core display area, but store it in the second database.

[0062] For example, a piece of standard information on the specification of patent writing for artificial intelligence was visited 500 times in a month, and another piece of standard information on the trademark registration process for a specific industry was visited 100 times in a month. According to the distribution of historical access data and actual business needs, the first access threshold is set to 300 times. This threshold is determined after analyzing a large amount of data and judging by business experience, and is intended to distinguish between standard information with high access and low access. For standard information with a historical access of more than 300 times and belonging to the first field, such as the standard information on the specification of patent writing for artificial intelligence mentioned above, it will be displayed in the core display area of ​​the standard website. The core display area can be a prominent position on the homepage of the website or a specially set popular standard information section. In the page layout of the website, the core display area is optimized to make it easier for users to find and browse. For example, these important standard information are marked with larger fonts, eye-catching colors or special icons. At the same time, relevant links and recommendations are provided to guide users to further understand the relevant standard information. For standard information with a historical access of less than 300 times and belonging to the second field, such as the standard information on the trademark design specification of ordinary stationery products, it is stored in the second database. The second database can be a backup library specifically used to store standard information that is infrequently accessed but still has a certain value. During the storage process, these standard information are classified and marked so that they can be quickly retrieved and called when needed later. At the same time, the information in the second database is cleaned and organized regularly, and some outdated or no longer valuable standard information is deleted. From the above, it can be concluded that this embodiment accurately updates the core display content of the standard website by comprehensively considering the historical visits and field importance level of the standard information. Information with high visits and high importance level is highlighted to enhance the user experience; information with low visits and low importance level is stored in the database for later use to optimize the information structure. This embodiment not only improves the pertinence and effectiveness of information display, but also ensures the rational allocation of website resources.

[0063] Corresponding to the standard website information management method of the above embodiment, Figure 2 This is a structural block diagram of a standard website information management device provided by an embodiment of the present disclosure. For ease of explanation, only the parts related to the embodiment of the present disclosure are shown. Figure 2 The standard website information management device 20 includes: a classification module 21, a processing module 22 and an updating module 23.

[0064] The classification module 21 is used to classify the standard information set according to the content of the standard information set and the classification standard to obtain a classification label, and display the standard information in the standard information set at a corresponding position on the standard website according to the classification label; A processing module 22, configured to process the standard information set according to a comparison result between the life cycle of the standard information and a preset life cycle to obtain a first standard information set; The updating module 23 is used to update the first standard information set displayed on the standard website according to the historical access volume of the standard information within the first time and the field where the standard information is located.

[0065] In one embodiment of the present disclosure, the classification module 21 is specifically used for: The content of the standard information set and the classification standard are input into the classification model to obtain the classification label corresponding to each standard information in the standard information set. The classification model is a trained neural network model.

[0066] In one embodiment of the present disclosure, the classification module 21 is further used to: Determine the iteration parameters of the neural network model according to the data volume of the standard information set and the complexity of the neural network model; The neural network model is trained according to the iterative parameters to obtain the classification model.

[0067] In one embodiment of the present disclosure, the classification module 21 is further configured to: The number of features is determined according to the data volume of the standard information set, and the iteration parameters of the neural network model are determined according to the number of features and the complexity of the neural network model.

[0068] In one embodiment of the present disclosure, the processing module 22 is specifically used for: If the life cycle of the standard information is greater than or equal to the preset life cycle, the standard information is marked as expired information, and the expired information is stored in the first database; The expired information in the standard information set is processed to obtain a first standard information set.

[0069] In one embodiment of the present disclosure, the standard information includes static information and web page request information; refer to Figure 3 , the standard website information management device further includes: an instruction response module 24; The instruction response module 24 is used to respond to receiving the access instruction of the first user: If the standard information is static information, returning the static information to the first user; If the standard information is web page request information, it is determined whether to return the web page request information to the first user according to the authorization information of the first user.

[0070] In one embodiment of the present disclosure, the updating module 23 is specifically used for: If the historical number of visits to the standard information is greater than the first number of visits, and the field in which the standard information is located is the first field, the standard information is displayed in the core display area of ​​the standard website, and the first standard information set displayed on the standard website is updated, and the standard information belongs to the first standard information set; If the historical number of visits to the standard information is less than the first number of visits, and the field in which the standard information is located is the second field, the standard information is stored in the second database, and the first set of standard information displayed on the standard website is updated; The importance level of the first field information is greater than the importance level of the second field information.

[0071] See also Figure 4 , Figure 4 A schematic block diagram of an electronic device provided by an embodiment of the present disclosure. Figure 4 The electronic device 300 in the embodiment shown may include: one or more processors 301, one or more input devices 302, one or more output devices 303 and one or more memories 304. The processors 301, input devices 302, output devices 303 and memories 304 communicate with each other via a communication bus 305. The memory 304 is used to store computer programs, which include program instructions. The processor 301 is used to execute the program instructions stored in the memory 304. The processor 301 is configured to call the program instructions to execute the functions of the modules in the above-mentioned device embodiments, such as Figure 2 The functions of modules 21 to 23 are shown.

[0072] It should be understood that in the embodiment of the present disclosure, the processor 301 may be a central processing unit (CPU), and the processor may also be other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc.

[0073] The input device 302 may include a touch panel, a fingerprint collection sensor (for collecting the user's fingerprint information and fingerprint direction information), a microphone, etc., and the output device 303 may include a display (LCD, etc.), a speaker, etc.

[0074] The memory 304 may include a read-only memory and a random access memory, and provide instructions and data to the processor 301. A portion of the memory 304 may also include a non-volatile random access memory. For example, the memory 304 may also store information about the device type.

[0075] In a specific implementation, the processor 301, input device 302, and output device 303 described in the embodiments of the present disclosure can execute the implementation methods described in the first and second embodiments of the standard website information management method provided in the embodiments of the present disclosure, and can also execute the implementation methods of the electronic device described in the embodiments of the present disclosure, which will not be repeated here.

[0076] In another embodiment of the present disclosure, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores a computer program, wherein the computer program includes program instructions, and when the program instructions are executed by the processor, all or part of the processes in the above-mentioned embodiment method are implemented, and the computer program can also be completed by instructing the relevant hardware through the computer program. The computer program can be stored in a computer-readable storage medium, and when the computer program is executed by the processor, the steps of each of the above-mentioned method embodiments can be implemented. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form, etc. The computer-readable medium can include: any entity or device capable of carrying computer program code, recording medium, U disk, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), electric carrier signal, telecommunication signal and software distribution medium, etc.

[0077] The computer-readable storage medium may be an internal storage unit of the electronic device of any of the aforementioned embodiments, such as a hard disk or memory of the electronic device. The computer-readable storage medium may also be an external storage device of the electronic device, such as a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (SecureDigital, SD) card, a flash card (Flash Card), etc. equipped on the electronic device. Furthermore, the computer-readable storage medium may also include both an internal storage unit of the electronic device and an external storage device. The computer-readable storage medium is used to store computer programs and other programs and data required by the electronic device. The computer-readable storage medium may also be used to temporarily store data that has been output or is to be output.

[0078] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described in terms of function in the above description. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this disclosure.

[0079] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the electronic devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0080] In the several embodiments provided in the present application, it should be understood that the disclosed electronic devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic, for example, the division of units is only a logical function division, and there may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces or units, or it can be an electrical, mechanical or other form of connection.

[0081] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the embodiments of the present disclosure.

[0082] In addition, each functional unit in each embodiment of the present disclosure may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0083] The above are only specific embodiments of the present disclosure, but the protection scope of the present disclosure is not limited thereto. Any technician familiar with the technical field can easily think of various equivalent modifications or replacements within the technical scope disclosed in the present disclosure, and these modifications or replacements should be included in the protection scope of the present disclosure. Therefore, the protection scope of the present disclosure should be based on the protection scope of the claims.

Claims

1. A standard website information management method, characterized in that: include: Classifying the standard information set according to the content and classification standard of the standard information set to obtain classification labels, and displaying the standard information in the standard information set at a corresponding position on the standard website according to the classification labels; Processing the standard information set according to a comparison result between the life cycle of the standard information and a preset life cycle to obtain a first standard information set; The first standard information set displayed on the standard website is updated according to the historical visits of the standard information within the first time and the field where the standard information is located.

2. The standard website information management method according to claim 1, characterized in that: The step of classifying the standard information set according to the content of the standard information set and the classification standard to obtain the classification label includes: The content of the standard information set and the classification standard are input into a classification model to obtain a classification label corresponding to each standard information in the standard information set, and the classification model is a trained neural network model.

3. The standard website information management method according to claim 2, characterized in that: Also includes: Determining an iteration parameter of the neural network model according to the data volume of the standard information set and the complexity of the neural network model; The neural network model is trained according to the iteration parameters to obtain the classification model.

4. The standard website information management method according to claim 3, characterized in that: Determining the iteration parameters of the neural network model according to the data volume of the standard information set and the complexity of the neural network model includes: The number of features is determined according to the data volume of the standard information set, and the iteration parameters of the neural network model are determined according to the number of features and the complexity of the neural network model.

5. The standard website information management method according to claim 1, characterized in that: The standard information set is processed according to a comparison result between the life cycle of the standard information and a preset life cycle to obtain a first standard information set, including: If the life cycle of the standard information is greater than or equal to the preset life cycle, the standard information is marked as expired information, and the expired information is stored in the first database; The expired information in the standard information set is processed to obtain a first standard information set.

6. The standard website information management method according to claim 1, characterized in that: The standard information includes static information and web page request information; The standard website information management method further includes: In response to receiving an access instruction from the first user: If the standard information is static information, returning the static information to the first user; If the standard information is web page request information, it is determined whether to return the web page request information to the first user according to the authorization information of the first user.

7. The standard website information management method according to claim 1, characterized in that: The updating of the first set of standard information displayed on the standard website according to the historical number of visits to the standard information within the first time and the field in which the standard information is located includes: If the historical number of visits to the standard information is greater than the first number of visits, and the field in which the standard information is located is the first field, the standard information is displayed in the core display area of ​​the standard website, and the first standard information set displayed on the standard website is updated, and the standard information belongs to the first standard information set; If the historical number of visits to the standard information is less than the first number of visits, and the field in which the standard information is located is the second field, the standard information is stored in the second database, and the first standard information set displayed on the standard website is updated; The importance level of the first field information is greater than the importance level of the second field information.

8. A standard website information management device, characterized in that: include: A classification module, used to classify the standard information set according to the content and classification standard of the standard information set to obtain a classification label, and display the standard information in the standard information set at a corresponding position on the standard website according to the classification label; A processing module, configured to process the standard information set according to a comparison result between the life cycle of the standard information and a preset life cycle to obtain a first standard information set; The updating module is used to update the first standard information set displayed on the standard website according to the historical visits of the standard information in the first time and the field where the standard information is located.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and running on the processor, characterized in that: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

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