25 results about "Query string" patented technology

The invention discloses a construction method for replacing an iframe embedded page, which comprises the following steps of: replacing an original iframe component with a common component under a front-end framework, and mounting the common component on a DOM (Document Object Model) tree of a main page; obtaining an src link character string which is originally transmitted to the iframe component; analyzing the src link character string, extracting a query character string, and converting the query character string into a parameter object; transmitting the parameter object as an attribute to a common component; and acquiring data in the parameter object by monitoring the change of the attribute in the common component, and driving business logic execution by using the data. Under the condition that routing configuration is not changed, complex control logic is reduced, and the page rendering speed is greatly increased.

An execution unit of the present invention provides a language model with a first query character string including the name of a function and instructing the model to respond according to the format of the function related to the name. The language model receives an input of a query character string and outputs a response character string to follow the query character string. The language model is adjusted so as to output, if a pre-defined function call condition is satisfied, a response character string in a predetermined format including arguments to be passed to the function. This response acquisition unit analyzes, according to the format, the first response character string output from the language model in response to the first query character string, and extracts values therefrom.

An electronic device and an application search method thereof are provided. The method includes the following steps. A plurality of semantic feature vectors of each of a plurality of application is recorded. The semantic feature vectors of each of the applications at least include a first semantic feature vector associated with one of application categories and a second semantic feature vector associated with one of expanded related words. A query string is obtained via the input device. A query semantic feature vector of the query string is generated by using a natural language model. A plurality of semantic similarities between the query semantic feature vector and the semantic feature vectors of each application are determined. A target application corresponding to the query string is determined from the applications according to the semantic similarities corresponding to the semantic feature vectors of each application.

In one aspect, semantic-based font searching may be performed in vector space using machine learning. Text and images may therefore be put into a same embedded vector space so that font images that are close, in the vector space, to a word from a font search query may be returned as search results. Thus, an end-user can enter a natural language search query string for the system to return fonts that semantically match the user's search string.

A system and method for augmented semantic search, including: a query execution service including functionality to receive a search request including a query string; a query classification service including functionality to execute a first large language model using a first prompt to generate a classification object representing classification of the query string in a structured classification format; a filter extraction service including functionality to execute a second large language model using a second prompt to generate a filter object including a set of filters inferred for the query string in the structured filter format; and a recaller service including functionality to: use the filter object to constrain search space of a vector store and execute a vector similarity operation on a query vector to generate a match set of embeddings; and provide a result set based on the match set of embeddings.

The invention provides an intelligent report generation method and system based on multi-source data query analysis, and the method comprises the following steps: extracting a user intention through semantic analysis based on a query character string which is received by a pre-training language model and is input by a user in a natural language form, and generating an intention dictionary; based on the cosine similarity between the intention embedding vector corresponding to the intention dictionary and each data source description vector, selecting a plurality of data sources of which the cosine similarity is greater than a first set threshold value from a database; on the basis of the multiple query statements, automatically obtaining corresponding original result data sets from all the data sources; and based on each original result data set, generating an analysis report with a convertible format through a pre-training language model and a time sequence analysis model. According to the intelligent report generation method and system based on multi-source data query analysis, the problems that generation of a data analysis report highly depends on manpower, the data source matching capacity is poor, efficiency is low, and intelligence is insufficient can be solved.

Methods, system, and non-transitory processor-readable storage medium for a text-based vector retrieval system are provided herein. An example method includes generating, by a text-based vector retrieval system, a set of topics Tx for a document set DX, generating for each document DN a set of topics TD, comparing the set of topics TD against the set of topics TX to generate a filtered set of topics TDFinal, comparing the topics TDFinal against final topics of all other documents to generate a set DNMatching, encoding each document from the document set into a vector database with corresponding DNMatching and TDFinal as metadata, grouping vectors into N search clusters, retrieving N topics from a query string to generate TQuery topics, comparing the TQuery topics against topics in each cluster to identify matching clusters having R matching topics, and calculating similarity scores for documents in the matching clusters.

Embodiments provide systems, methods, and computer storage media for determining string similarity and pattern matching in strings that arrive in a stream. A stream representing string of characters is received and used to compute mapping values that are compared to a mapping value of a query string to identify a match between strings in the stream of characters and the query string. The stream of characters is searched in a single sequential pass to detect a match or the longest matching substring with a query string. An identified match or absence of a match is provided.

A system and method for augmented semantic search, including: a vector store including a set of embeddings, each representing a structured data representation of a media perspective of a media item; a query execution service including functionality to receive a search request including a query string from a client application; a query classification service including functionality to execute a first machine learning model to generate a classification object in a structured classification format; a filter extraction service including functionality to execute a second machine learning model to generate a filter object including a set of filters in a structured filter format; a recaller service including functionality to: execute an encoder model on the input query and execute a vector similarity operation on the query embedding to generate a result set; and a re-ranking service including functionality to: execute a large language model to re-rank the result set.

A system and method for iteratively populating, querying, and ranking governmental data across heterogeneous databases may include iteratively populating at least one database with governmental data elements by obtaining source data from governmental data sources at predefined times, transforming the source data using at least one database schema, and populating the database, which may be a vector, relational, or graph database. A user query is received, comprising a query string, and processed using a routing agent to determine the data type or semantic scope and select at least one agent from a plurality of agents, including structured data agents, unstructured data agents, graph data agents, semantic search agents, validation agents, bias mitigation agents, or fallback agents. The query is modified using metadata, executed to retrieve responses, and input into a relevance machine learning model to determine relevance scores and rank responses. Ranked query responses are outputted to the user.

Disclosed herein is a method (400) for performing a fuzzy search on database records. The method includes receiving (402) a query string from a user device (102). The method further includes extracting (404), based on the query string, one or more fuzzy search result strings from a plurality of records present in a cache memory. Further, the method includes determining (406) a similarity score between each of the one or more fuzzy search result strings and the query string. Furthermore, the method includes filtering (408) one or more result strings from the one or more fuzzy search result strings having the similarity score greater than a specific value. Thereafter, the method includes displaying (410), on a display interface of the user device, the one or more result strings.

A system for performing private information retrieval may include a data requesting computer that is configured to receive a query string, homomorphically encrypt the query string to generate an encrypted query, transmit the encrypted query to a data repository computer, and receive resultant encrypted datasets. The data repository computer may be configured to access a database comprising a plurality of datasets, receive the encrypted query, and perform a search of the plurality of datasets to identify the resultant encrypted datasets that include data that matches the encrypted query for provision to the data requesting computer. The search may be performed such that encryption of the encrypted query is maintained while performing computational operations of the search.

The embodiment of the invention discloses a fuzzy query method, system and device, a medium and a product, and the method comprises the steps: carrying out the encryption mapping of characters of plaintext data based on a dynamic disturbance factor, and generating a coding sequence according to the encryption mapping result; constructing a reverse index based on the coding sequence; performing encryption mapping on characters of a query character string based on the dynamic perturbation factor to generate query segmented words; searching the query segmented word according to the inverted index to obtain a candidate result set containing position information corresponding to the query segmented word; and performing sequential semantic verification on the candidate result set according to the position information to obtain a fuzzy query result. According to the method and the device, high-efficiency encrypted field fuzzy retrieval is realized while the security of the stored sensitive field data is ensured.

This invention provides a general-purpose robotic wounded soldier for combat trauma training, belonging to the technical field of combat trauma training models. It includes: a robotic wounded soldier model; a human-computer interaction system for presetting initial combat trauma states; a wound simulation control module that generates query strings containing location, type, severity, and duration based on the preset states, calls a wound simulation knowledge graph to match corresponding wound state nodes, thereby obtaining descriptions of skin appearance, skeletal movements, language behavior, and physiological data, and uses this to drive the model to perform real-time morphological and appearance simulation, real-time voice output, and physiological data numerical output; and a training interaction module that collects real-time data on treatment actions and on-site environmental conditions, inputs this data into a state transition decision tree model integrating the influence of environmental and treatment conditions, and generates new wound state nodes that conform to the laws of medical evolution. This invention can accurately and in real-time simulate the physiological reactions and wound changes of wounded soldiers based on dynamic battlefield environments and treatment operations.

The application provides a legal regulation retrieval processing method and device of a large language model, which comprises receiving a legal query, identifying the intention of the legal query by the large language model, routing the legal query to an intention processing branch, performing characteristic fission on the legal query when it is determined to be a legal regulation retrieval branch, generating a plurality of retrieval element objects, encapsulating and sending the retrieval element objects to a legal regulation vector database, sorting the legal regulation vector database according to a similarity score to obtain an initial legal regulation metadata set, splicing the metadata set and a query string, inputting the spliced result into the large language model, performing secondary cleaning and filtering on the spliced result according to a preset metadata verification rule set, outputting a correlation determination identifier, removing irrelevant legal regulations, constructing a precise legal regulation data set, inputting the data set into the large language model, and rendering and outputting a structured legal analysis data object to a client according to a preset entity law and procedural law analysis priority order and a legal regulation reference regular expression. Through the processing scheme, the absolute purity and anti-illusion traceability of the output data are effectively ensured.

The invention belongs to the technical field of artificial intelligence security, and discloses a generation method of a jailbreak attack sample of a multi-mode large language model, and a security assessment method and device. Identifying a sensitive word set from the query character string of the malicious query image pair; rewriting each sensitive word to obtain an alternative word, and replacing the corresponding sensitive word in the query character string with each alternative word to obtain a rewritten instruction; extracting a keyword most relevant to the image from the query character string, rewriting the keyword to obtain an alternative word, rendering the alternative word into a typesetting image, and adding the typesetting image below the image to obtain an image; embedding the rewritten instruction and image into a scene template to obtain a jail break attack sample; and inputting the jail break attack sample into the to-be-evaluated multi-modal large language model, and evaluating the security alignment capability of the multi-modal large language model according to the corresponding generation content.

The application relates to a homomorphic encryption string accurate matching method applied to a cloud computing application, and belongs to the technical field of cloud computing. A cooperative processing framework is first constructed, a server divides a database original data binary string into a plurality of data blocks with a set length, maps a data block sequence into a data polynomial, encrypts the data polynomial by using a homomorphic encryption algorithm, and writes data polynomial ciphertext into an SSD storage unit; a client obtains an inverse query string by inversing an input query string bit by bit, fills the inverse query string into each coefficient of a polynomial structure, encrypts a query polynomial by using the homomorphic encryption algorithm; each encrypted coefficient of the data polynomial ciphertext and the query polynomial ciphertext is subjected to a coefficient-level homomorphic addition operation, the addition result is compared with a corresponding coefficient in a matching polynomial, and a matching position index of a corresponding data block is generated. The application can quickly perform a string matching operation.

Systems and methods for selective sharing of sections of a webpage are described. An authoring device is used to mark or categorize sections of a webpage. The marks permit a sharing device to further mark or identify a subset of sections of the webpage, which are allowed for marking, with sharing preferences. HTML code may be modified based on the marked sharing preferences. Webpage sections that are marked for replacement may be replaced with secondary content items. A URL for the webpage is shared with a recipient. The URL may also include a query string reflective of the sharing preferences. Rendering is performed by the recipient device for only those sections that are marked for sharing in accordance with the modified HTML code or instructions from the query string. Engagement metrics for the rendered webpage are tracked and used for enhancing the marks or other data relating to sharing preferences.

This invention provides a natural language data lookup method, apparatus, and electronic device, relating to the field of data processing technology. The method includes: receiving a user's natural language query string; performing intent recognition on the query string based on a preset intent system; outputting the user's intent classification result, whereby the intent classification result is represented by a unique intent code; rewriting the query string based on the intent classification result, the query string, and a terminology database; and orchestrating the natural language data lookup task corresponding to the natural language query string based on the normalized query and the intent classification result, generating an execution plan including multiple atomic tasks, and executing the plan to obtain a data result set. This invention significantly improves the accuracy of complex queries and can be reliably applied to industry scenarios with high data accuracy requirements.

The embodiment of the invention provides a data retrieval method and device, computer equipment, a computer readable storage medium and a computer program product, and belongs to the technical field of data processing. The method comprises the steps of obtaining a to-be-queried question; converting the to-be-queried question into a query object, wherein the query object comprises a query character string; retrieving in the mixed retrieval system by taking the query object as a query condition to obtain a candidate result set returned by each retrieval library; and carrying out fusion processing on the candidate result set returned by each retrieval library to obtain a query result corresponding to the to-be-queried question. According to the method, the technical advantages of different retrieval libraries can be brought into full play, the defect of a single retrieval technology is overcome, the result deviation of a single retrieval library is effectively reduced, and the comprehensiveness and reliability of a retrieval result are remarkably improved.

Disclosed are systems and methods for a semantic search framework that operates to provide a robust search feature of database hosted data. The disclosed framework (or tool) improves and expands how searches can be configured and executed. In some embodiments, the disclosed framework is configured to receive a search request for a term or phrase, contextualize it to a generally understood theme that is not hindered by language barriers, and leverage it in a manner that is able to retrieve the most relevant and accurate results. The disclosed framework can filter search requests in a manner that both expands its breadth while honing in on what is actually being requested. The disclosed framework can be embodied as computerized systems and methods that can topically search for content based on a query string (e.g., term or phrase), and output a results set that embodies the theme of a survey's feedback.

This application discloses an optimization method, optimization device, and storage medium for fuzzy search. The optimization method includes: acquiring an input query string and multiple document strings stored in a knowledge base; segmenting the query string into multiple query substrings; segmenting any document string from the multiple document strings into multiple document substrings; for each document substring, determining whether the query string contains a target query substring with no fuzzy similarity to the target document substring; if the query string contains a target query substring with no fuzzy similarity to the target document substring, replacing the target query substring with an empty string, and determining the edit distance between the target query substring and the target document substring as a preset value. This application reduces the occurrence of erroneous results returned by fuzzy search and improves the efficiency of fuzzy search.

Embodiments include generating data models that may give semantic meaning for unstructured or structured data that may include data generated and / or received by search engines, including a time series engine. A method includes generating a data model for data stored in a repository. Generating the data model includes generating an initial query string, executing the initial query string on the data, generating an initial result set based on the initial query string being executed on the data, determining one or more candidate fields from one or results of the initial result set, generating a candidate data model based on the one or more candidate fields, iteratively modifying the candidate data model until the candidate data model models the data, and using the candidate data model as the data model.

The application provides a secure data writing method of NAND flash memory, which comprises the following steps: receiving a writing request of to-be-stored data, analyzing the writing request to obtain a security level of the to-be-stored data and a data length of the to-be-stored data; splicing the data length of the to-be-stored data and the security level of the to-be-stored data according to a preset splicing order to obtain a query string of the to-be-stored data; processing the query string according to a preset Bloom filter to determine whether there is available secure storage space of the to-be-stored data in the NAND flash memory, wherein the Bloom filter is constructed according to the available secure storage space; if there is the available secure storage space of the to-be-stored data in the NAND flash memory, then allocating target storage space for the to-be-stored data in the available secure storage space; and writing the to-be-stored data into the target storage space. The application solves the problem that the existing data writing method cannot reasonably manage and utilize the NAND flash memory and cannot guarantee the security of data.