61 results about "Category Identifier" patented technology

The invention relates to the technical field of artificial intelligence, and provides a large model cue word construction method and device, equipment, a medium and a program product, and the method comprises the steps: extracting query content and a business scene identifier from a user request; based on the business scene identifier, matching a target cue word template from a cue word template database; and based on the intention category identifier associated with the query content and the target cue word template, constructing a large model cue word. According to the large model cue word construction method provided by the invention, the target cue word template is matched from the cue word template database based on the business scene identifier, and the large model cue word is constructed in combination with the intention category identifier associated with the query content, so that the adaptive large model cue word can be dynamically constructed according to the real-time user intention and the business scene, and the user experience is improved. The method has high flexibility, and meanwhile, through scene adaptation and intention accurate guidance, the prompt words can be constructed in a unified and dynamic manner by multiple services, and the expansibility and adaptability of service processing are improved.

The invention belongs to the technical field of big data, and discloses a drawing quality evaluation management system and method based on big data. Comprising the following steps: extracting meta-information of a drawing, and extracting a category identifier by utilizing file name data and professional data in the meta-information to obtain a category of the drawing; carrying out marking; key information of the drawing is obtained, and a designer risk factor, a standard conformity risk factor and a version difference risk factor are calculated; calculating an integrity evaluation value of the drawing; dividing the drawings into defect drawings and standard drawings by utilizing the integrity evaluation values of the drawings; dividing a defect drawing into a first-level defect and a second-level defect; for a first-level defect, starting a multi-dimensional feature missing rate quality evaluation method to calculate a quality score of the defect drawing; for the standard drawing, calculating a quality score of the standard drawing according to the basic quality score and the proportion matching degree; and accurate data support is provided for drawing design and examination.

The invention provides a personalized content recommendation method and system based on big data and artificial intelligence. The method comprises the steps of obtaining an interaction event of a user in a current recommendation period; merging the interaction events according to content categories, and performing weighted summarization according to preset event weights to generate a user state characterization result; calculating a recommendation uncertainty evaluation result based on the representation result, and mapping the recommendation uncertainty evaluation result into a recommendation constraint; constructing a recommended candidate content set from a content library under recommendation constraints, wherein each piece of content in the content library is bound with a content category identifier and is solidified with a content fingerprint; and determining a recommendation execution coefficient according to the recommendation uncertainty evaluation result, and selecting content items from the candidate set to generate a recommendation execution result. The system comprises an interactive processing module, an uncertainty evaluation module, a candidate construction module and a recommendation execution module. According to the method, by quantifying the user interest state and the recommendation uncertainty, the recommendation range and quantity are dynamically adjusted, and the recommendation accuracy and diversity are improved.

Some aspects relate to technologies for employing metadata identifiers for part item listings on a listing platform to generate inventory intelligence. In accordance with some aspects, textual analysis of listing data for each of a plurality of part item listings on a listing platform is performed to assign a metadata identifier to each part item listing. The metadata identifier for each part item listing comprises a combination of an inventory segment identifier, a category identifier, and fitment data. For a first metadata identifier, a set of part item listings having the first metadata identifier is identified. Demand data and / or supply data is aggregated for the set of part item listings to provide aggregated data. A user interface with one or more metrics is generated using the aggregated data, and the user interface is communicated over a network to a computing device for presentation.

The invention discloses a heterogeneous database synchronization method and system based on a trigger and a message queue, and the method comprises the steps: creating a trigger function in a source database, binding the trigger function with a target service table to capture the change operation of the target service table in real time, and when the structure change of the target service table is monitored, executing the step of synchronizing the target service table; automatically triggering the ORM model to remap; the method comprises the following steps: integrating an SQLAlchemy automatic mapping function, dynamically generating an ORM model category identifier through metadata analysis, and querying related data and extracting related fields by utilizing an ORM model to generate a JSON message containing an idempotent key; the JSON message containing the idempotent key is sent to a message queue, and a consumer obtains the JSON message containing the idempotent key from the message queue and screens out target data from the JSON message containing the idempotent key; and performing conflict detection on the target data, generating final data based on a preset configuration strategy, and applying the final data to the target database. According to the method, the conflict condition in the data synchronization process can be effectively processed, and the accuracy and consistency of the data are ensured.

The invention belongs to the technical field of multi-modal artificial intelligence, is suitable for financial scenes and medical scenes, and discloses a token activation graph generation method based on multi-modal data, and the method comprises the steps: obtaining multi-modal task data, presetting a special token identifier used for distinguishing different task data types, and configuring a target token parameter; according to the text token sequence and a preset special token identifier, determining a start-stop position of a token corresponding to the special token identifier in the text token sequence; determining a corresponding category identifier according to the target token, and extracting a visual activation score and a text activation score from the logit data based on the category identifier; processing the text token sequence to determine a non-repeated token set, calculating a text activation score weight according to the non-repeated token set to obtain an interference coefficient, and optimizing a visual activation score according to the interference coefficient; a token activation graph is generated from the visual input and the text sequence. According to the method, the problems of redundancy of text tokens, lack of correlation analysis and insufficient synergy of visual analysis are solved.

The present disclosure relates to systems, software, and computer-implemented methods for automatically identifying handwritten tips. An example method includes obtaining an image of a receipt, where the image includes a reference region in a pre-set format, a plurality of category identifiers, and at least one set of handwritten characters. The reference region and the plurality of category identifiers can be printed. The plurality of category identifiers can be located at pre-set positions relative to the reference region. The method further includes obtaining optical character recognition (OCR) information of the image and identifying the reference region from the OCR information based on the pre-set format of the reference region. The method further includes determining a plurality of amounts based on the OCR information and the reference region, where at least one of the plurality of amounts is associated with a tip category.

The invention discloses an E-mail processing method and a storage medium. The method comprises the following steps: acquiring a target E-mail; extracting target email features of the target email, determining a matching result of the target email features based on a preset abnormal email feature library, and determining a first category identifier of the target email according to the matching result; if the first category identifier represents that the target E-mail is a normal E-mail, sending an E-mail category detection request to a cloud server; receiving a second category identifier sent by the cloud server; the second category identifier is obtained by performing mail category detection on each target attribute feature by the cloud server based on a preset cloud detection strategy corresponding to each target attribute feature; if the second category identifier represents that the target E-mail is a normal E-mail, the target E-mail is sent to the target mail receiving account, the abnormal E-mail can be detected comprehensively, accurately and rapidly, and the probability that the user receives the abnormal E-mail is reduced.

A system for classifying, allocating and managing mobile phone numbers based on usage type via a central portal / agency, characterized by the following technical features: a. The server system includes at least one processing unit and a network communication connection for electronic communication with telecommunications operators and external authorities; b. an access and interface unit configured to provide secure access to a country-specific interface for the allocation of mobile phone numbers; c. one or more data storage units that store the following: i. a categorization register data structure that includes predefined user categories and associated category identifiers (Cat_IDs) that can be selected by an applicant, ii. Allocation rules for verification authorities that link regulated categories to independent government or authorized external verification bodies, and iii. a centrally managed numbering resource comprising numbering blocks provided by telecommunications authorities and / or algorithmically generated numbering sequences, independent of mobile network operators' holdings; d. an online application module that is executed by the processing unit and is configured to receive an allocation request, capture a user-selected category, and provide interfaces for uploading documents for KYC and category-dependent verification documents; e. a verification interface module configured to send verification requests to an associated verification authority and receive a response confirming authorization; f. an allocation manager configured to select or generate an available mobile phone number from the centrally managed numbering resource after successful authorization confirmation and to link the corresponding Cat_ID to the number through a numbering plan-compliant digit encoding and / or metadata linking; and g. a tamper-proof audit ledger module that is stored in the data storage unit and records the category selection, verification result and provisioning events for activation and unlocking in order to retrieve and transmit them to an interface of the regulatory authority.

The application relates to the technical field of artificial intelligence, and provides a large model prompt word construction method, device, equipment, medium and program product, the method comprises the following steps: extracting query content and a business scene identifier from a user request; based on the business scene identifier, a target prompt word template is matched from a prompt word template database; and based on an intention category identifier associated with the query content and the target prompt word template, a large model prompt word is constructed. The large model prompt word construction method provided by the application can match a target prompt word template from a prompt word template database based on a business scene identifier, and can construct a large model prompt word in combination with an intention category identifier associated with query content, can dynamically construct a large model prompt word that is adapted according to real-time user intention and a business scene, has high flexibility, and can realize unified dynamic construction of prompt words for multiple businesses through scene-based adaptation and accurate intention guidance, thereby improving the expansibility and adaptability of business processing.

The application discloses a message scheduling method, a feature library updating method, a message scheduling system and a network edge device, and relates to the technical field of networks, and comprises the following steps: capturing data messages flowing through the network edge device and extracting plaintext feature information; matching the extracted plaintext feature information with records in a local first feature library; when the matching is successful, determining a target priority for forwarding scheduling based on a corresponding service category identifier; when no record is matched, forwarding at a default priority, and uploading the message or a feature digest thereof to an artificial intelligence server as a to-be-processed object; receiving a second feature library issued by the artificial intelligence server and updating the first feature library; the second feature library is obtained by updating the first feature library according to an analysis result of the to-be-processed object by using a large language model deployed by the artificial intelligence server. The application realizes automatic updating of a feature library relied on by new application traffic classification and priority allocation.

The invention discloses a material matching method and device based on the industrial internet, equipment and a medium, and relates to the technical field of computers. The method comprises the following steps: identifying a category identifier of each material in a bill of materials to be matched; determining a candidate material set and a parameter matching rule corresponding to the category identifier; on the basis of a parameter matching rule, parameter comparison is carried out on each material and candidate materials in a candidate material set, a first material list is determined, and the first material list comprises first materials capable of being matched with the candidate materials in the to-be-matched material list and the candidate materials corresponding to the first materials; and performing supplier screening on the candidate material corresponding to each first material to obtain a material matching result of each first material. According to the technical scheme provided by the invention, the material matching accuracy and the working efficiency can be improved, and the adaptability and the reliability of material supply can be ensured.

To store network performance data for later retrieval, performance data files corresponding to a test cycle are retrieved, reformatted into unified data files according to a predetermined unified file format and a set of predefined unified category identifiers, and stored in a query database. The reformatting can match predefined unified category identifiers with data category identifiers in the performance data files, and the corresponding data values ​​can be stored sequentially in the unified data files or used to increment counter values ​​in similarly stored aggregated counter files. In addition, configuration data files for network cells can be stored less frequently than the frequency of the test cycles. Later retrieval can retrieve both the unified data files and the configuration data files corresponding to a selected time frame and network portion, and merge or aggregate the data appropriately for performance indicator calculations.

The invention relates to the technical field of artificial intelligence, and discloses an accurate information delivery system and method based on multi-modal perception and reinforcement learning, and the method comprises the steps: when an evaluation window ends, the system calls a content category identifier in a user behavior sequence to calculate an information entropy value, and carries out the statistics of a negative feedback rate; the system generates a long-term reward value which is in negative correlation with the information entropy value and the negative feedback rate, and the reinforcement learning model is updated in a backtracking manner in combination with the instant reward, so that the technical problem of reward index dislocation in reinforcement learning is solved, the optimization target of the model is converted into a low-entropy concentration state of cultivating a user from an induced click state, and the user experience is improved. Therefore, the degradation of the model strategy is avoided.

The present application relates to a method and system for digital asset management based on motion capture, which includes the following steps: when newly input motion data is received, the motion data is classified and associated with a category identifier; the associated motion data is stored in a database; when a search message is received from a user terminal, the category identifier is obtained from the search message; and the motion data associated with the obtained category identifier is sent to the user terminal. The present application facilitates technicians in searching and matching motion data, thereby improving the efficiency of animation production.

The application provides a processing method and device of a scene service, an electronic device, a storage medium and a vehicle; the method comprises: downloading a general scene service and a user scene service with a category identifier from a cloud platform; adding the category identifier to each user scene service; classifying the scene services according to the category identifier, and enabling or disabling each scene service according to the category, wherein the scene services comprise the general scene service and the user scene service. It can be seen that, after classifying the general scene service according to the category identifier, the method customizes the classification of the user scene service, and after the user scene service is classified into the category of the general scene service, the conflict of the execution logic can be reduced, and the user's customized demand and the robustness of the scene service in execution are taken into account.

The present disclosure provides a data enhancement method and apparatus. The data enhancement method includes: segmenting multiple training sentences with category identifiers, and identifying the category identifier corresponding to each word in the training sentence; performing a chi-square test on the words to obtain a characteristic value for each word in relation to the category identifier; performing noise processing on the training sentences based on the characteristic value and the words; and merging the noise-processed training sentences with the original training sentences to form a new training sentence set. The data enhancement method provided by the present disclosure can improve the accuracy of newly generated training data while compensating for insufficient model training data.

The invention discloses a commodity data matching method, electronic equipment and a storage medium, and relates to the technical field of commodity search. The method comprises the following steps: acquiring text information input by a user, and determining a reasonable degree and a questioning tendency of the text information; determining a to-be-matched document category identifier according to the reasonable degree and the questioning tendency; determining a commodity data document associated with the text information as a first type document according to the to-be-matched document category identifier and a preset matching threshold, and generating a first commodity data document set; matching second type documents associated with the text information in all commodity data documents according to keywords contained in the text information to generate a second commodity data document set; and merging the first type of documents in the first commodity data document set and the second type of documents in the second commodity data document set to obtain commodity data matched with the text information. According to the method, the commodity data matched with the text information is comprehensively retrieved, and the accuracy of retrieving the commodity data is improved.

The invention provides a renewable resource sorting control method and system based on artificial intelligence, and the method comprises the steps: carrying out the feature extraction of a collected renewable resource image, and obtaining an image feature vector; classifying and identifying the renewable resources according to the image feature vectors to obtain category identifiers of the renewable resources; performing target detection on the renewable resources according to the image feature vectors to obtain bounding box coordinates and grabbing point coordinates of the renewable resources; and generating a sorting action instruction of the manipulator according to the category identifier, the bounding box coordinates and the grabbing point coordinates, and performing resource sorting control on the manipulator according to the sorting action instruction. Automatic identification and accurate sorting of renewable resources are achieved through the artificial intelligence technology, the sorting efficiency and accuracy are improved, the labor cost is reduced, and the system is suitable for automatic sorting treatment of various renewable resources.

The application discloses a power consumption test and data analysis method and device and electronic equipment, creates and stores data collection stages corresponding to different running states of a storage device, sets corresponding category identifiers for each data collection stage, obtains power consumption test data of the storage device under each data collection stage, binds corresponding category identifiers to each power consumption test data, classifies all power consumption test data by using a clustering algorithm in combination with the category identifiers, obtains a classification result, and analyzes power consumption performance results of the storage device under each data collection stage in combination with the classification result. The application introduces a category identifier in each data collection stage corresponding to a running state of a storage device, uses the category identifier as classification information attached to each power consumption test data collected, and then uses the category identifier to more quickly and accurately determine the final classification of the power consumption test data when clustering and analyzing the data by using a clustering algorithm, thereby guaranteeing the reliability of subsequent data analysis.

The user equipment sends application-specific information to the RAN node, which may include a quality of service category identifier associated with a traffic flow corresponding to the application. In response to the application-specific information, the user equipment receives, from the node, application-specific configuration information corresponding to the downlink search space, which may be monitored or decoded by the user equipment using the configuration information to determine a joint downlink-uplink configuration. The joint downlink-uplink configuration may indicate downlink resources for receiving downlink traffic to which the specific flow is applied, and the joint downlink-uplink configuration may indicate uplink resources used for transmitting uplink traffic to which the specific flow is applied, the uplink traffic to which the specific flow is applied is linked to or corresponds to the downlink traffic to which the specific flow is applied. The user equipment may be configured to transmit an estimated buffer status report indicating estimated uplink traffic to be transmitted corresponding to downlink traffic to which a particular flow is applied.

The application discloses an input method, device, electronic equipment and readable storage medium, wherein the method comprises: receiving a first input of a user; wherein the first input is used for inputting a first character string; in response to the first input, displaying first information corresponding to the first character string; wherein the first information comprises at least one of the following: pre-stored information corresponding to a first candidate word, the first candidate word being a candidate word matched with the first character string; and at least one candidate word category identifier matched with the first character string.

A disclosed server system for dynamically generating and serving content for presentation across different channels can perform the following operations: receive a request from a client device for a subset of content elements, the request designating a desired channel for presenting content in a page, identify the subset having at least one content attribute that satisfies one or more subset creation criteria indicating a category identifier for a slot in a page template used for generating the page, dynamically generate the subset by: for each content element in the subset, dynamically adjusting presentation of the singular instance of the content element based on presentation requirements of the desired channel, the singular instance being commonly used across all device interface types, and serve the subset of the content elements to the client device, which includes the singular instances of the content elements dynamically adjusted for presentation in the desired channel.

This invention relates to the field of computer information processing, and discloses a method and system for rapid reading and classification of computer information. The method includes: dividing the computer information to be processed into multiple information blocks; extracting information-side features of each information block and determining its basic category, structural complexity level, version stability level, and adjacency relationship; extracting request-side features of the target read request and historical read requests to determine the access phase category; generating a read execution category identifier based on the information-side features and request-side features; calling the corresponding read strategy template; determining the target anchor information block and performing selective pre-reading; performing local version fingerprint verification on the target anchor information block and the pre-read information block; performing difference compensation read when verification fails; generating the target read result based on the verified information block; and updating the read strategy template. This invention also discloses a corresponding system.

The application relates to the technical field of communication, in particular to a front-end resource selection method based on global multi-data centers and related equipment. The method comprises the following steps: receiving request information sent by a front end of any data center; the request information comprises a data center unique identifier and a product category identifier; determining resource configuration of a front-end page according to the data center unique identifier; determining a resource version number of the front-end page according to the data center unique identifier; determining front-end resource data required for front-end page display according to the resource configuration, the product category identifier and the resource version number; and returning the front-end resource data to the front end, wherein the front-end resource data is used for the front-end page to display a page according to the resource version number. Therefore, the application can effectively solve the problems that the front end switches service pages in a relatively complicated manner and has poor flexibility in the prior art.

Embodiments of the present disclosure relate to a table rendering method, device, equipment and medium, wherein the method comprises: in response to monitoring that a user inputs a target entity category identifier in an entity category column of an online table, obtaining at least one first entity specification attribute identifier corresponding to the target entity category identifier; comparing whether the number of attributes corresponding to the at least one first entity specification attribute identifier is greater than a first column number of a current dynamic column in the online table; in response to being greater than the first column number, calculating a first difference value between the number of attributes corresponding to the at least one first entity specification attribute identifier and the first column number; inserting a dynamic column corresponding to the first difference value in the online table to obtain an updated current dynamic column; and rendering the at least one first entity specification attribute identifier in a row corresponding to the target entity category identifier and the corresponding updated current dynamic column. In the technical solution, the processing efficiency of entity information is improved.

This invention discloses a method and system for heterogeneous database synchronization based on triggers and message queues. The method includes creating a trigger function in the source database and binding the trigger function to a target business table to capture changes to the target business table in real time. When a structural change to the target business table is detected, an ORM model remapping is automatically triggered. The method integrates SQLAlchemy's automatic mapping function, dynamically generating ORM model category identifiers through metadata parsing, and using the ORM model to query relevant data and extract relevant fields to generate JSON messages containing idempotent keys. These JSON messages are then sent to a message queue, where a consumer retrieves them and filters out the target data. Conflict detection is performed on the target data, and final data is generated based on a preset configuration strategy before being applied to the target database. This invention effectively handles conflicts during data synchronization, ensuring data accuracy and consistency.

The invention discloses a power consumption test and data analysis method and device and electronic equipment, and the method comprises the steps: creating data collection stages in one-to-one correspondence with different operation states of storage equipment, and setting a corresponding class identifier for each data collection stage; obtaining power consumption test data of the storage device in each data acquisition stage, and binding a corresponding category identifier for each power consumption test data; classifying all the power consumption test data through a clustering algorithm in combination with the category identifier to obtain a classification result; and in combination with the classification result, analyzing the power consumption performance result of the storage device in each data acquisition stage. According to the method, the category identifier is introduced into each data acquisition stage corresponding to the running state of the storage equipment, and the category identifier is used as classification information attached to each acquired power consumption test data; the final classification of the power consumption test data is judged more quickly and accurately by means of the category identifier, and the reliability of subsequent data analysis is guaranteed.

A disclosed server system for dynamically generating and serving content for presentation across different channels can perform the following operations: receive a request from a client device for a subset of content elements, the request designating a desired channel for presenting content in a page, identify the subset having at least one content attribute that satisfies one or more subset creation criteria indicating a category identifier for a slot in a page template used for generating the page, dynamically generate the subset by: for each content element in the subset, dynamically adjusting presentation of the singular instance of the content element based on presentation requirements of the desired channel, the singular instance being commonly used across all device interface types, and serve the subset of the content elements to the client device, which includes the singular instances of the content elements dynamically adjusted for presentation in the desired channel.

Embodiments of the present application provide a generation method of a flowchart of a defect detection algorithm, a defect detection method and system, an electronic device and a storage medium. The generation method of the flowchart of the defect detection algorithm comprises: a naming step of naming at least one folder based on a preset naming rule, wherein each folder is used to store training sample images of a corresponding model, each model is used to detect target information in a to-be-recognized image, and the name of each folder comprises a model category identifier and / or a target identifier of the corresponding model; and a generation step of generating and displaying a flowchart of a defect detection algorithm based on the model category identifier and / or the target identifier in the name of each folder in response to a confirmation operation of a user, wherein the flowchart shows the running path of the steps of the defect detection algorithm. The above technical solution is simple and easy to implement, has low requirements on users, is suitable for a wide range of users, and provides a better user experience.