200 results about "Data search" patented technology

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 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.

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 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 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 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.

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.

The application discloses a livestock data search method and system based on multi-source heterogeneous fusion. The application adopts a four-layer architecture of data acquisition, data processing, retrieval service and user interaction: through adaptive acquisition integration of active grabbing and passive access, covering public and non-public data; using rule engine and machine learning to clean data and establish meta model, standardizing and converting structured, semi-structured and unstructured data, constructing livestock field knowledge graph and using hybrid storage of relational database, non-relational database and graph database; providing personalized recommendation through user portrait construction and collaborative filtering algorithm; using RBAC permission management and data desensitization to ensure compliance. The application realizes efficient integration, accurate retrieval and intelligent service of multi-source livestock data.

The application discloses a hot data reading method and related device, and relates to the technical field of computers.In the application, the target data is determined as hot data based on a target count identifier of the target data; a target logical address of the target data is subjected to a shift operation according to a set step length, and a target number of a target red-black tree is obtained; the target red-black tree is obtained from a red-black tree set based on the target number; a target offset is obtained based on the target logical address and the set step length, a target physical address is obtained from the target red-black tree based on a first address of the target red-black tree and the target offset, and the target data is obtained according to the target physical address.In this way, cold and hot data are distinguished through variable count identifiers, the accuracy of hot data screening is improved, and the physical addresses of the hot data are stored in the red-black tree through a hash algorithm, so that the hot data searching speed is also improved in the case that the hot data amount is large.

The application discloses a data storage method and device, which can store data corresponding to a row key in a data table in an original partition according to a preset original correspondence between the row key and the original partition, and in the case that a data re-storage request of the data table is received, distribute data access or storage pressure of one partition to multiple partitions by migrating data to be adjusted stored in the partition to other partitions, so as to relieve a data hotspot problem. In addition, after data re-storage, the application modifies the correspondence between the row key of the data to be adjusted and the original partition in the original correspondence to the correspondence between the row key of the data to be adjusted and a target partition, so that the partition to which the data to be searched belongs can be determined according to the modified original correspondence in subsequent data searching.

This invention provides a Content Addressable Memory (CAM) unit, a CAM memory device, an operation method thereof, and a data search and comparison method. The CAM unit includes: a first flash memory unit, a first terminal of which receives a first search voltage; and a second flash memory unit, a first terminal of which receives a second search voltage, and a second terminal of the first flash memory unit electrically connected to a second terminal of the second flash memory unit; wherein the first flash memory unit and the second flash memory unit are connected in series, and a stored data in the content addressable memory unit is determined by a combination of multiple threshold voltages of the first flash memory unit and the second flash memory unit.

The invention provides an encrypted data searching method and system. The method comprises the steps that a target user side obtains document keys of a plurality of documents and identifiers of the corresponding documents, wherein the document keys of the documents are generated in advance according to a preset master key and the identifiers of the documents; the target user side generates a search token for each document of the to-be-retrieved keyword according to the document key of each document, the to-be-retrieved keyword and the identifier of each document; the target user side sends the search token of each document to the server side; the server performs encryption retrieval on each document according to the search token to obtain a target encrypted document identifier, and returns the target encrypted document identifier to the target user side; and the target user side decrypts the target encrypted document identifier according to the document key of each document to obtain the identifier of the target document with the keyword to be retrieved. Efficient data retrieval in an encryption state is realized by generating the security search token and combining encryption retrieval of the server side and decryption verification of the target user side.

The application relates to a data search method and device, computer equipment and a storage medium, and relates to the technical field of data storage. The method comprises the following steps: receiving a data search request; the data search request comprises user information and a data search keyword; obtaining a row-level permission set of the user according to the user information; the row-level permission set comprises at least one row-level permission granted to the user; traversing the row-level permission set, performing isomorphic processing on each row-level permission in the row-level permission set, and obtaining an isomorphic result corresponding to each row-level permission; constructing a global search condition based on the isomorphic result corresponding to each row-level permission and the data search keyword; performing data search in a database based on the global search condition; and storing data in the database based on a target data structure corresponding to a data structure of the isomorphic result. Through the above method, global data retrieval is realized, and the data security in the database is guaranteed.

A set of metadata is generated for a file based on file characteristics and a vector embedding is calculated using the set of metadata. A distance between the vector embedding and at least one other vector embedding is used to determine the file storage location. The at least one other vector embedding represents at least one other corresponding set of metadata generated for at least one other file. In one aspect, a combined access latency for the file and the at least one other file is considered in determining the storage location. In another aspect, a text based request is received to search for at least one file indicating a criterion not specifically identifying the at least one file. The text based request is converted into a structured command using a Large Language Model (LLM) to identify at least one storage location for the at least one file.

The invention relates to a water conservancy question answering method and device, computer equipment and a storage medium. The water conservancy question answering method comprises the steps of obtaining a question text input by a user; converting the problem text into a business database statement, and performing retrieval in a water conservancy business database to obtain a business data retrieval result; extracting feature information of a water conservancy entity corresponding to the question text, and performing retrieval in a water conservancy knowledge map database to obtain a map retrieval result; performing vectorization processing on the problem text, and determining document data corresponding to the most similar document vector in the water conservancy document vector library as a document retrieval result; aggregating the retrieval results to obtain an aggregated text; and determining the most matched output cue word, and generating a reply text based on the aggregated text and the output cue word through a generation model. By adopting the method, a water conservancy business database, a water conservancy knowledge graph library and a water conservancy document library can be used as data sources, and multi-source heterogeneous knowledge is integrated and then output.

The invention relates to a resource allocation method and device for a data search engine, equipment, a medium and a product, and relates to the technical field of big data. Comprising the following steps: acquiring index state information of each resource monitoring index of a target search engine; if at least one abnormal index exists, obtaining operation data of the target search engine under each resource monitoring index; a resource configuration prediction model is called to analyze all the operation data, a resource configuration prediction result for the target search engine is obtained, and the resource configuration prediction model is obtained by conducting training with historical operation data of the target search engine as a sample and historical resource configuration corresponding to the historical operation data as a sample label in advance; and under the condition that the abnormal index is still not recovered to the normal state at present, performing resource configuration adjustment on the target search engine based on the resource configuration prediction result to obtain a resource configuration adjustment result of the target search engine. By adopting the method, the resource configuration adaptability can be improved.

This invention discloses a data storage method and system based on a scalable multidimensional learning index structure, belonging to the field of computer data storage. This system fully utilizes storage characteristics to organize data into memory and disk, significantly reducing disk I / O with minimal memory usage, accelerating data search speed, and supporting data expansion. This invention can be applied to multidimensional data indexing, typically represented by geospatial data, meeting the need for rapid multidimensional key searching in the high-dimensional key space of such data.

The invention discloses an inclined roadway supporting method, which relates to the technical field of coal mines, and comprises the following steps of: 1, collecting related data of a coal mine to be supported, and determining a supporting model parameter X; 2, searching according to the support model parameter X to obtain a support data group, and making an orthogonal table; 3, calculating to obtain a model parameter X '; the method comprises the steps of (1) obtaining model parameters X ', (2) obtaining model parameters X', (3) obtaining model parameters X ', (4) obtaining simulation material data by combining support data retrieval according to the model parameters X', (5) manufacturing a simulation material according to the simulation material data, (6) manufacturing a roadway support model and carrying out a pressurization experiment, and (7) recording data, repeating the step (6) until an orthogonal table is completed, and analyzing the orthogonal table to obtain an optimal support scheme.

Embodiments of the present application provide a data acquisition method and device, equipment and readable storage medium, relating to the field of data search, the method comprising: acquiring a search log; extracting candidate search logs meeting preset requirements from the search log; writing the candidate search keywords into a disaster recovery storage area, the disaster recovery storage area being used to establish a connection with a preset search service and acquire search results corresponding to the candidate search keywords; in response to receiving a target search request sent by a target account and the search server having a search exception, acquiring a target search keyword corresponding to the target search request, and querying the target search results matching the target search keyword from the disaster recovery storage area with the target search keyword as an index; and sending the target search results to the target account.

The application discloses a multi-source education data search method and device, equipment and a storage medium, and the method comprises the steps of: obtaining education information from a plurality of heterogeneous data sources through a hybrid search strategy, and performing recursive data association on the education information to generate an extended information set; performing data screening on the extended information set based on a pre-trained model to obtain a screened extended information set; receiving a user query request, using a multi-modal hybrid retrieval model to search information in the screened extended information set, and obtaining a search result. Compared with the prior art, the application eliminates information silos and improves the education information search matching accuracy by obtaining education information from a plurality of heterogeneous data sources through a hybrid search strategy, performing recursive data association on the education information to generate an extended information set, receiving a user query request, and using a multi-modal hybrid retrieval model to search information in the screened extended information set.