39 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 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.

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 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 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 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 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.

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.

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.

The invention discloses a method and system for determining cache evaluation data, and relates to the technical field of data processing.The method comprises the steps that multiple pieces of access data of a business service program in a target platform are obtained, and the access data comprise a cache key corresponding to an access request, an operation type and an access result; determining a data category identifier of the cache key; classifying the multiple pieces of access data at least based on the data category identifier and the operation type of the cache key to obtain at least one data group; based on the access results corresponding to the access data in the data set, determining the hit number of the access requests hit the cache system and the miss number of the access requests miss the cache system in the data set; and determining the data category identifier, the operation type, the hit quantity and the miss quantity corresponding to the data group as a piece of cache evaluation data of the business service program. According to the scheme provided by the invention, the evaluation data which more comprehensively and accurately reflects the cache quality can be obtained.

The application relates to a method and device for determining the order receiving qualification of a network car driver, a computer device and a storage medium. The method comprises the following steps: receiving an order receiving qualification calculation request of a network car driver sent by a network car dispatching system, and analyzing an order receiving category identifier and an identifier of the network car driver; acquiring an order receiving qualification calculation rule corresponding to the order receiving category identifier from a preset order receiving qualification rule configuration library according to the order receiving category identifier; identifying one or more expressions from the order receiving qualification calculation rule, and identifying the index identifiers of one or more indexes in each expression; identifying the data sources corresponding to each index based on the index identifiers of each index, acquiring the index values of each index from the data sources corresponding to each index according to the identifier of the network car driver; and determining whether the network car driver has the order receiving qualification of the order receiving category according to the acquired index values of each index and each expression. The method can improve the flexibility and expansibility of order receiving qualification rule configuration.

This invention discloses a multimodal emotion recognition method and system for companion robots, comprising the following steps: acquiring image, speech, text, and behavioral data to generate a multimodal feature vector sequence; performing feature parsing to form a sequence of feature components for each modality; reconstructing the feature component sequences to form a trajectory sequence, generating a nonlinear trajectory through bending, and forming a trajectory mapping result through path bifurcation and merging; performing occlusion on candidate paths, generating a complete feature sequence through closure reconstruction, and performing consistency judgment between the complete result and the trajectory mapping result; performing fusion on the trajectory mapping result to generate a fused feature representation vector; and generating an emotion category identifier, emotion intensity value, and interactive control commands based on the fused feature representation vector. This invention achieves multimodal emotion recognition and improves recognition accuracy.

A machine learning system for processing data corresponding to an incoming transaction. The machine learning system comprises a categorical history module which includes a memory configured to store state data for a plurality of categories indexed by a respective category identifier, wherein the state data stored in the memory for each category identifier corresponds to a previous transaction associated with the entity and the respective category. A decay logic stage is configured to modify state data stored in the memory based on a time difference between a time of the incoming transaction and a time of a previous transaction. When the memory contains state data for the entity and category identifier pair associated with the incoming transaction, a decaying function dependent on the time difference is applied to the stored state data to generate a decayed version. The state data output from the decay logic stage is updated using an input tensor generated from the data corresponding to the incoming transaction to generate updated state data.

This application discloses a content recognition method, which can be used as a supporting technology for WeChat Official Accounts. The method includes obtaining a first feature vector corresponding to the content to be recognized; recalling M content samples that meet similarity conditions from the Q content samples based on the first feature vector and the second feature vector of each of the Q content samples; statistically analyzing the content samples for each category identifier based on the category identifier of each of the M content samples to obtain the number of content samples corresponding to each category identifier; and obtaining the target category label corresponding to the content to be recognized based on the number of content samples corresponding to each category identifier. This application also provides related devices, equipment, and storage media. This method can directly cluster the obtained content to be recognized, thereby better adapting to streaming content scenarios and improving the real-time performance of content recognition.

The present disclosure provides a log data processing method and device, electronic equipment and storage medium, and relates to the technical field of operation and maintenance. The method comprises: obtaining a log key and a corresponding category identifier obtained by clustering first log data according to a target frequency word; obtaining a log category sequence of the to-be-processed log data including a first log category identifier and a second log category identifier according to the log key and the corresponding category identifier, wherein the first log category identifier is arranged before the second log category identifier in the log category sequence of the to-be-processed log data; processing the log category sequence of the to-be-processed log data by a target deep learning model to obtain a predicted subsequent log category identifier of the first log category identifier; and comparing the second log category identifier with the predicted subsequent log category identifier to detect whether the log data corresponding to the second log category identifier is abnormal. The method realizes efficient detection of log data abnormalities.

One or more implementations of this specification provides key-value pair storage methods and devices for graph data. In an implementation, a key-value pair storage method includes: obtaining key-value pairs of graph composition elements, wherein values of the key-value pairs correspond to graph data of graph composition elements, keys of the key-value pairs each comprise identifier fields, wherein the identifier fields comprise a category identifier of a corresponding graph composition element of the graph composition elements, wherein the graph composition elements are at least one of nodes or edges, and storing the key-value pairs in order based on an arrangement sequence of category identifiers comprised in the keys.

The application discloses a material determination method, system and related equipment, and the method comprises the following steps: matching the search information and the material information in the category mapping table to obtain a target category identifier; transmitting the target category identifier into the search interface of each supply source, and obtaining the selected material information returned by each search interface based on the target category identifier; obtaining the material evaluation information according to the selected material information, and the material evaluation information is used for selecting the target material from each selected material. According to the category mapping table, the target category identifier can be conveniently found, so that the material evaluation information used for selecting the target material can be effectively obtained, and the search progress of the target material is accelerated. According to the target category identifier, the material information of different supply sources can be targetedly aggregated, the workload of searching the information of each supply source respectively and integrating each search result is saved, the time consumption of searching for materials in the supply chain business is reduced, and the operation is flexible and has strong universality.

Embodiments of the present application provide a data pushing method and device, computer equipment, a storage medium and a computer program product, and relate to the technical field of big data. The method comprises: receiving a service client sending a service handling request for a to-be-handled service, and obtaining a target area code contained in the service handling request; if a target area corresponding to the target area code exists in a pushing area list, obtaining a service category identifier contained in the service handling request; if a service category corresponding to the service category identifier exists in a pushing service category list of a service front-end system, generating service handling information of the to-be-handled service; and pushing the service handling information to a service system. The method improves the timeliness of data pushing and service handling.

The invention relates to a permission configuration synchronization method and device, equipment, a storage medium and a computer program, and the method comprises the steps: querying a system user identifier corresponding to a user uniform identity identifier in a user account table of a current environment according to the user uniform identity identifier; querying system permission data corresponding to the system user identifier and the data category identifier of the permission configuration data in a system permission configuration table of the current environment according to the system user identifier and the data category identifier of the permission configuration data, and determining the system permission data as to-be-updated permission data; and updating the to-be-updated permission data in the system permission configuration table according to the permission configuration data. By setting the cross-system user uniform identity identifier, the user primary key can be unified in different systems, and for different systems, the user needing permission configuration can be determined only by determining the user uniform identity identifier, the permission data to be updated can be rapidly determined, and the updated system permission data can be obtained by updating.

A method, system, device, server, and medium for acquiring training data are disclosed. The method includes: acquiring video data of a test action; inputting the video data of the test action into a trained object detection model to perform object detection, obtaining object detection results; inputting the object detection results into a trained action classification model to perform action classification, obtaining action classification results; when the action classification results identify an action image that does not belong to a preset storage area, storing the action image in the preset storage area and automatically labeling it, wherein the storage area is configured with category identifiers for existing actions, and the category identifiers correspond to the action category of the performed test action. This invention achieves rapid acquisition of training data and improves the detection accuracy of test actions.

The invention provides a storage method, a query method, devices, equipment, a medium and a product, and relates to the technical field of data processing. The storage method comprises the following steps: acquiring a bottom-layer parameter, a category identifier and a hierarchical level of each user; carrying out bucket separation on the bottom layer parameters to obtain bucket separation identifiers and offsets; according to the category identifier and the bucket identifier, generating a storage identifier; creating a plurality of bitmaps in a data bucket corresponding to the storage identifier, and determining a target bitmap from the plurality of bitmaps according to the hierarchical level; converting the layering level to obtain a layering numerical value; and determining a target storage bit according to the offset, and storing the hierarchical numerical value into the target storage bit. According to the storage method, the hierarchical levels of the users are mapped into the bitmap, so that a data storage structure is optimized, and subsequent data retrieval and management are quicker, so that the storage efficiency and access performance of the system are improved, and the consumption of a storage space is reduced.