332 results about "Data search" patented technology

Methods, systems, and techniques for data searching and querying. A query for retrieving information is received, the information corresponds to a subset of data comprised in a dataset. A response to the query is generated, comprising the information retrieved from the dataset using a series of machine learning models configured to parse datasets. The generating comprises: processing the query; generating an instruction for parsing the dataset according to the processing; and parsing the database using the instruction to return the information. Semantic context for the query can be determined using a machine learning model. Search results determined by parsing the database can be translated into natural language using a large language model. The instructions and search results can be evaluated using one or more arrays of large language models.

The invention discloses a geographic space data search method, a geographic space data transaction method and a related device. The search method comprises the following steps: acquiring a search range; according to the search range and a pre-constructed hybrid tree index, searching a data set A intersecting with the search range from all data sets corresponding to the hybrid tree index; wherein the hybrid tree index is composed of a ball tree index and a KD tree index; and performing multi-dimensional similarity calculation on the search range and the data set A, and determining a search result according to a multi-dimensional similarity calculation result. According to the search method, the mixed tree index composed of the ball tree and the KD tree is adopted for first-stage search, the node access frequency during search is reduced through the complementary advantages of the two tree structures, and the search efficiency is remarkably improved when high-dimensional and large-scale data are processed; and multi-dimensional similarity search is further performed based on the search result of the first stage, so that complex search requirements are met.

The invention provides a data retrieval method, system and device, and relates to the technical field of big data processing, the method comprises the following steps: obtaining a search text of a user; performing data permission assembly according to the search text to obtain a user permission set of the user; according to the user permission set, generating a retrieval filtering condition of the search text; according to the retrieval filtering condition, performing multi-source data search in combination with the search text to obtain an initial retrieval result corresponding to the search text; and performing unauthorized rejection operation on the initial retrieval result to obtain a final retrieval result of the search text. According to the method, the range is defined through permission assembly, the condition focusing target is filtered, the efficiency is improved through pre-matching, and the precision is guaranteed through post-removing, so that the retrieval data volume is compressed to improve the efficiency, and the matching pertinence is enhanced to improve the precision.

The invention discloses a multi-modal data search method and system based on an AI large model, and relates to the technical field of multi-modal data processing, and the method comprises the steps: inputting multi-modal data into a quantum state propagation engine, mapping the multi-modal data to a quantum entanglement state through a quantum neural radiation field model, and generating a quantum entanglement state coding feature tensor; dynamically planning a quantum state propagation path of the quantum entangled state coding feature tensor based on a nonlinear soliton equation, and constructing a quantum topological index network and a knowledge graph; compiling a user search instruction into a quantum measurement operator, executing quantum state propagation path navigation in the quantum topological index network, and generating a candidate result set of cross-modal matching through a path interference effect; performing quantum de-coherence driven probability reordering on the candidate result set, and screening high-confidence results; through the amplitude damping channel and the fluctuation ratio weight calculation, the problem of high response delay caused by the calculation efficiency bottleneck is solved.

The invention relates to the technical field of data processing, can be applied to the fields of financial information search, multi-dimensional information retrieval in intelligent investment advisers, medical information search and the like, and provides a multi-modal data search method and device, a storage medium and computer equipment. Performing multi-modal unified coding on different modal data in the knowledge base to obtain a multi-modal knowledge base; acquiring input information of a user; retrieving multi-modal information in a multi-modal knowledge base, wherein the similarity between the multi-modal information and the input information meets the requirement; the multi-modal information comprises feature vectors corresponding to the information of different modals, wherein the similarity of the information and the input information meets the requirement; and sorting the feature vectors corresponding to the information of different modes based on the historical behavior information of the user, and determining target search information corresponding to the input information based on a sorting result. According to the embodiment of the invention, a fusion retrieval mechanism of multi-modal data is introduced, so that the precision and correlation of information retrieval are effectively improved, and the user experience is improved.

The invention relates to the technical field of power services. The self-service intelligent business card printer comprises an interaction module, a storage module and a printing module, the interaction module is in communication connection with the storage module, and the interaction module and the storage module are respectively in communication connection with the printing module; the storage module is used for storing business card data of power service personnel; the interaction module is used for acquiring a user input instruction and searching target business card data in the storage module according to the user input instruction; and the printing module is used for receiving the printing instruction of the interaction module and printing the target business card data queried in the storage module. The latest business card data of the service personnel can be provided when the user needs, repeated printing is avoided, the cost is saved, printing is convenient and fast, the intelligent level is high, and the user experience degree is improved.

The invention relates to the crossing field of artificial intelligence technology and e-government, and discloses an e-government enterprise service intelligent response method based on AI cue word engineering, comprising: constructing and maintaining a government knowledge graph and a scenarized cue word template library; receiving and analyzing a service request input by an enterprise, and extracting an enterprise feature tag and a business intention; selecting a target cue word template based on the matching degree of the enterprise feature tag and the scene tag of the template in the scene cue word template library, and generating an adapted cue word template; retrieving associated knowledge data from the government affair knowledge graph according to the service request, and filling the adapted cue word template with the retrieved associated knowledge data to generate a structured cue word; inputting the structured cue word into an AI model to drive the AI model to generate a government affair service response; and collecting multi-dimensional evaluation feedback of government affair service response, and carrying out iterative optimization. The demand understanding precision is improved, and the risk of core information misjudgment is reduced.

The invention discloses a metadata management method and device, electronic equipment and a storage medium, and relates to the technical field of data storage, and the method comprises the steps: receiving a metadata operation request sent by a client, determining a target logic partition based on a mapping relation between an identifier and the logic partition, and determining a target physical sub-book group through a mapping relationship between the logic partition and the physical sub-book group, and selecting a target storage node to process the metadata operation request based on the storage node state information in the target physical sub-book group. According to the method, the most suitable storage node can be intelligently determined to execute the metadata operation by introducing a mapping mechanism between the identifier and the logic partition as well as between the logic partition and the physical sub-book group and combining the state information of the storage node; the problems that in traditional metadata management, a single server becomes a performance bottleneck and data searching and maintaining efficiency is low are solved, and the technical effects of improving system performance, improving data processing efficiency and enhancing system reliability are achieved.

Systems and methods for performing user data search can include obtaining a search query, processing the search query with one or more machine-learned planning model to generate one or more specialized queries and instructions to search one or more specific user datasets with the one or more specialized queries, and processing the obtained search results with a generative response model to generate a response to the search query. The systems and methods can search across local databases and server databases. An on-device generative response model can be utilized for device local search results, while a server generative response model may be utilized for server-based search results.

The present disclosure provides a memory device and a data search method thereof. The data search method of the memory device includes vectorizing a data to be searched to obtain a data to be searched vector according to a compression mode recorded, wherein the data to be searched and a plurality of objects of a database are compressed by the compression mode; setting a search condition; searching the objects of the database with the data to be searched vector to determine whether the data to be searched matches the objects in the database; and recording and outputting at least one matched object in the database that matches the data to be searched.

The invention relates to a block backup indexing method, system and device based on a B + tree and a storage medium, and belongs to the technical field of disaster recovery backup. The method comprises the steps of intercepting a QEMU block write-in request and extracting an IO descriptor, writing block data into a disk and obtaining a physical offset, initializing a two-dimensional B + tree index structure, inserting the block IO descriptor and offset information into a two-dimensional B + tree, querying the position of the block data according to a logic offset and / or timestamp range, and deleting and updating index nodes according to a specified range. The system comprises a block data interception module, a block data writing module, a B + tree initialization module, a block data insertion module, a block data search module and a block data deletion module. According to the method, through a two-dimensional hierarchical index structure of the logic offset and the timestamp, joint efficient positioning of time and space dimensions is achieved, sharing of timestamp leaf nodes between local and global B + trees is supported, data redundancy is effectively avoided, and range query efficiency is improved.

The invention provides an unstructured resource data searching method and a related device, and the method comprises the steps: based on a file type of unstructured resource data, adopting a workflow mode to extract basic metadata; based on the basic metadata, adopting a multi-modal large model to obtain corresponding extended metadata; on the basis of the extended metadata, adopting Neo4j to construct a knowledge graph; receiving an unstructured data retrieval request of a user, and performing semantic extraction by using the semantic large model to generate a semantic query vector; and on the basis of the semantic query vector, utilizing Elasticsearch to retrieve semantic similar contents in the knowledge graph so as to generate a recommendation result. According to the method, through cooperation of the multi-modal large model and the knowledge graph, different modal data are mapped to the unified semantic space, deep association of cross-modal data is realized, and the problem of cross-modal association fracture is solved.

The invention relates to the technical field of digital media asset management, in particular to a digital media asset management method and system, which comprises the processes of metadata compliance tag injection, policy awareness mixed query and privacy affinity cache management. A cross-cloud query path is dynamically decided through an intelligent metadata gateway, double cloud caches are deployed in a hierarchical manner, and label consistency and copyright transaction security are ensured by using a block chain evidence storage module. According to the method, the global retrieval efficiency can be improved, the sensitive data cross-border transmission risk is reduced, illegal access and data leakage are effectively avoided, meanwhile, the high-frequency sensitive data retrieval performance is optimized by dynamically adjusting the cache strategy, and efficient cooperation of cross-layer events is achieved. The invention provides a digital media asset management method and a digital media asset management system, and aims to solve or at least alleviate the problems of low metadata retrieval efficiency and sensitive data cross-border transmission compliance risk coexistence in a mixed cloud environment.

The present invention relates to the field of private domain e-commerce technology, and specifically discloses a private domain e-commerce data search method and system based on big data. The present invention first collects user behavior characteristics (search, browsing time, product click volume) and purchase characteristics (repurchase cycle, time preference), constructs style preference models and purchase preference models, quantifies users' attention to product styles based on browsing data, and performs semantic expansion based on the explicit semantics of search keywords to capture users' potential needs. At the same time, segmented product quantization technology is used to compress the extended semantics and purchase preferences. A double-layer compact index is used to achieve parallel retrieval of explicit and associated needs. Finally, the structured search results are visualized, integrating basic product information and style extension features to meet users' potential extension intentions and avoid the need for users to conduct multiple repeated searches.

The present application relates to a composite multi-field efficient solving method based on data driving and manifold embedding, comprising the following steps: S1, multi-source data acquisition and database construction; S2, using a reversible neural network architecture, obtaining a trained reversible manifold embedding model; S3, mapping the current state of the material point of the composite material to be solved to a low-dimensional linear Euclidean space through the manifold embedding model, projecting the mapped state to a low-dimensional hyperplane space in the mapping space, and mapping the projected state back to the original high-dimensional physical space through inverse mapping, iteratively repeating the mapping, projection and inverse mapping process until the residual error meets the convergence criterion. The present application combines the advantages of data driving and physical constraints, can efficiently process high-dimensional historical dependence and realize precise multi-field coupling solving, supports the research and development design of alumina-based composite materials and similar multi-field coupling materials, and fundamentally solves the dimension disaster problem of high-dimensional data search.

The invention provides a cross-device data collaborative question-answering method and device, equipment and a storage medium, which are used for obtaining a retrieval result in a cross-device manner in combination with a question-answering request of a user in a question-answering scene so as to generate a question-answering result according to the retrieval result. The problem that in an existing question and answer scene, a question and answer result can only be generated depending on a local retrieval result, and a data island is formed is solved, and the technical scheme of cross-device data search and intelligent fusion is achieved so as to support highly-personalized question and answer services. The method can comprise the steps that in response to a question and answer request, target equipment related to the question and answer request is determined; under the condition that the target device comprises at least one second device, a retrieval instruction is sent to the at least one second device, and the retrieval instruction is generated according to the question and answer request; receiving at least one retrieval result sent by at least one second device according to the retrieval instruction; and generating a question-answer result according to the at least one retrieval result.

This invention discloses a calculation system and method based on VSP distribution, belonging to the technical field of emission factors. It includes setting a VSP distribution formula; collecting vehicle static information and vehicle driving information; substituting vehicle body data and vehicle driving data into the VSP distribution formula to calculate the VSP value and emission factor; adjusting various vehicle driving data and recalculating the VSP value and emission factor; obtaining experimental group data; training a neural network model; the neural network model establishes a processing model for each data item in the vehicle driving data; when new vehicle driving information is received, the neural network model searches for the closest experimental group data and finds the corresponding processing model to calculate the VSP value and emission factor. This invention effectively reduces computational pressure and accelerates calculation speed by replacing some complex calculations with data search.

The invention discloses a dialogue generation method and device, a customer service system, a storage medium and a program product, and the method comprises the steps: receiving request data inputted by a user, and carrying out the data preprocessing of the request data; performing intention analysis and emotion detection on the preprocessed request data to obtain user intention information and a user emotion state; performing data search on the user intention information to obtain problem analysis data; generating an initial reply text according to the user intention information and the question analysis data; and adjusting the initial reply text based on the emotional state to obtain a dialogue text. By adopting the embodiment of the invention, the intention and the perception emotional state of the user can be accurately analyzed, and multi-modal interaction is realized by fusing multi-element information, so that real-time response and efficient solution of questions of the user are realized.

The invention provides an intelligent comprehensive detection system, which comprises a portable data acquisition terminal used for acquiring detection data of a locomotive and uploading the acquired detection data to a data management platform in real time through wireless transmission, the detection data comprises one or more of pantograph parameters, double-pipe air supply air pressure, cooling tower air speed and locomotive heating temperature; and the data management platform is used for storing the detection data collected in real time in combination with a block chain evidence storage technology, and performing diagnosis and identification of abnormal data through a backtracking search optimization algorithm. The portable data acquisition terminal integrated with the wireless transmission technology is used for replacing traditional manual measurement and recording, and the data accuracy and the working efficiency are improved. And meanwhile, based on the block chain in combination with a backtracking search optimization algorithm, the multi-dimensional data search storage and backtracking capability is improved, multiple data are optimally stored, and the retrieval efficiency and integrity of the multi-dimensional data are improved.

The invention discloses a data table lookup method and device, equipment, a storage medium and a computer program product, and relates to the technical field of data lookup, the method comprises the following steps: when a data table query statement is received, converting the data table query statement into a semantic vector; performing similarity matching on the semantic vector and a table vector set and a non-table vector set in a to-be-queried database to obtain a first similarity set and a second similarity set; the initialization vector is normalized based on the first similarity set and the second similarity set, a normalized vector is obtained, and the initialization vector is constructed based on the knowledge graph of the database to be queried; and calculating a correlation score, corresponding to the data table query statement, of each component in the normalized vector, and searching a target data table from the to-be-queried database based on the correlation score. Based on the method, deep mining and relational network construction are performed on the to-be-queried database, so that the target data table can be accurately searched from the database.

The present invention provides a data search method, device, and electronic device. The method includes: obtaining a target search condition; recording the target search condition in a target array; wherein the target array includes at least one historical search condition; and sending the target array to a server, so that the server performs a search based on the target search condition and the at least one historical search condition included in the target array. The client can record the target search condition in the target array, and the server performs a data search based on the search condition included in the target array. In this method, the user can enter one search condition each time, and the client can record all the search conditions entered by the user in the target array and send it to the server. After receiving the target array, the server directly extracts multiple search conditions from the target data, which can improve the accuracy of the server's search condition splitting, save server resources, and improve the user's experience in using data search.

The embodiment of the invention provides a context retrieval method, an event generation method, an intelligent agent and electronic equipment. The context retrieval method comprises the following steps: acquiring event description content of a target event and / or input multi-round event tracks; according to the event description content and / or input multi-round event tracks, performing context correlation retrieval on stored event memory data by adopting a data engine combination to obtain retrieval data; aggregating and screening the retrieval data to obtain target data related to the target event; and outputting a data search result according to the target data. According to the scheme of the embodiment, the memory similar to the context of the current target event is accurately and efficiently retrieved from the previous memories to serve as the execution guidance of the target event, and the accuracy of complex task processing by the intelligent agent is improved.

The present application relates to a kind of hard disk and the near neighbor graph vector retrieval method and device of memory, first according to the distance of each feature vector in data set and constructs near neighbor graph, then it is saved in hard disk and is released in memory according to 4K alignment mode optimization its storage and resource, then according to the structure information of near neighbor graph saved in hard disk, calculate sample set, again construct the near neighbor graph of sample set object as sample near neighbor graph.Using query vector on sample near neighbor graph executes nearest neighbor search to obtain the preliminary more similar query target set, finally with the more similar query target set obtained as the initial solution of near neighbor graph in hard disk, executes nearest neighbor search to obtain the most similar query target.The present application reduces the memory occupation in large-scale data search process under the condition of guaranteeing accuracy, and improves the search efficiency.

The invention provides a hierarchical retrieval device and method for LLM-driven big data retrieval, equipment and a medium, and relates to the technical field of artificial intelligence and big data retrieval. The method is used for screening out target data query information so as to reduce occupation of LLM context Token and improve cross-domain complex query retrieval efficiency of LLM, and comprises an input module, a strategy planning module, an executable strategy generation module and a scheduler; wherein the input module is used for acquiring and preprocessing user query requirements of LLM input by a user; the strategy planning module is used for generating a structured execution plan through a pre-constructed data capability classification document in combination with the user query requirement; the executable strategy generation module is used for generating an API execution instruction which is compliant and can be directly scheduled based on the structured execution plan; and the scheduler is used for executing retrieval according to the API execution instruction and integrating and executing retrieval results to obtain graded retrieval results.

The invention relates to the field of data lookup, and discloses a locality perception lookup table lookup method, which comprises the following steps of: S1, reordering between rows: clustering and reordering the rows of an input vector and a weight matrix according to the same quantized value to enable elements with the same quantized value to be continuously distributed; for a common matrix GeMV scene, cache locality is improved through rearrangement and subsequent blocking operation, and repeated loading of a lookup table LUT is reduced. And the data locality of the GeMV scene is remarkably improved through inter-line reordering and a virtual mapping strategy. On the basis of reordering of input vector element values, elements with the same value are aggregated, so that the LUT line loading times are reduced to 256 times at most from being in direct proportion to the input dimension d, and frequent replacement of the LUT lines in the WRAM is avoided; meanwhile, a weight matrix is divided into BR * BC sub-matrixes, the characteristic that vertical adjacent rows share an accumulator is utilized, multi-row sub-matrix calculation is loaded at a time, and virtual rearrangement maintains the row matching relation between an input vector and the weight matrix through index mapping.

The application is suitable for the technical field of data processing, and provides a novel power system data management method. The method comprises the following steps: a first server end receives new energy power data generated by each novel power system end, and stores the received new energy power data in a classified manner; a second server end responds to a data calling request, calls new energy power data of a target category from the first server end, and stores the new energy power data of the target category in multiple storage queues; the second server end responds to a data reading request, sends the new energy power data stored in the multiple storage queues to a data reading end according to the priority order of the multiple storage queues; and the data reading end processes the read new energy power data and displays the new energy power data in a regional map, wherein the regional map contains new energy power information of each novel power system end. The application can improve the data new energy power data reading efficiency and data search time.

Various embodiments provide for using data search on content-addressable memory (CAM), such as CAM implemented using a NOT-AND (NAND)-type memory device, to facilitate data de-duplication, where the CAM and the data search can be part of a memory system (e.g., memory sub-system).

The present disclosure is directed toward systems, methods, and non-transitory computer-readable media for performing a data search for a search request by utilizing a directed acyclic graph. For example, the disclosed systems receive a search request at a search engine of a content management system. In addition, the disclosed systems determine (e.g., in response to the search request) a node path from a directed acyclic graph that includes a plurality of interconnected nodes defining computer operations. Further, the determined node path includes a set of nodes that corresponds to the search request. Moreover, the disclosed systems perform the data search for the search request by executing operations defined by nodes along the node path within the directed acyclic graph.

This invention provides an information processing device, an information processing method, and an information processing program that enable low-cost searching of real estate information posted on inter-brokerage websites. [Solution] The system acquires real estate data recorded on an inter-broker site that provides real estate data to real estate agents, records the acquired real estate data in a management DB managed by users who can access the inter-broker site, acquires publicly available data from the recorded real estate data, records the acquired publicly available data in association with the recorded real estate data, provides a public data search means for searching the recorded publicly available data, searches the recorded real estate data based on the search results in the public data search means, and provides the first search result obtained from the search.

Provided are a data search processing method and apparatus, an electronic device, and a storage medium. The method includes: receiving a search request that includes an entity keyword attributing to a target category; acquiring dimension information on the target category in at least two dimensions and a multimedia resource set of the entity keyword in each of the at least two dimensions, in which the at least two dimensions includes an entity making dimension and an entity site dimension; and displaying a search result page, in which the search result page includes a first region and a second region, the dimension information in the at least two dimensions is displayed in the first region, the second region including a plurality of predetermined sub-regions, and the multimedia resource set in corresponding one of the at least two dimensions to each predetermined sub-region is displayed in the predetermined sub-region.