23results about How to "Improve retrieval efficiency" patented technology

The video character retrieval method, device, equipment and storage medium of the present application, wherein the method comprises: establishing an original video database, obtaining a target video from the original video database; extracting a character segment in the target video; extracting a character audio in the character segment; performing semantic analysis on the character audio to obtain an audio text; combining the audio text and a video text in the target video to obtain a combined text; and using a preset character identity recognition model to extract a character identity in the combined text, wherein the preset character identity recognition model is obtained by training a convolutional neural network. The combined text combining the audio text and the video text includes the character name and the character relationship of the target video, and the character identity in the combined text can be automatically extracted by the trained preset character identity recognition model, thereby achieving high retrieval accuracy and efficiency.

The application discloses a retrieval method and related device. According to a to-be-retrieved input string, prefix matching is performed in a target dictionary tree to obtain a target leaf node. According to a remaining string of the to-be-retrieved input string, each full string in a data file corresponding to the target leaf node is checked to obtain a checking result of each full string, the checking result being used to indicate whether the corresponding full string matches the to-be-retrieved input string. If the checking result indicates that a target full string in the data file matches the to-be-retrieved input string, a word corresponding to the target full string is determined as a candidate of the to-be-retrieved input string. The application combines the target dictionary tree and the data file to perform retrieval, the target dictionary tree has the characteristic of high retrieval efficiency, and meanwhile, since the remaining string is a partial string of the to-be-retrieved input string, the time for performing retrieval in the data file is also reduced. Therefore, the retrieval efficiency and retrieval performance are improved, even the response performance of the entire input method is improved, and the input experience is improved.

The application provides a retrieval method, device and equipment for software product prototype information, a medium and a product. The method comprises the following steps: obtaining a plurality of prototypes of a target software product and corresponding associated information of each prototype, wherein the associated information comprises prototype source files, software product information and plug-in resources used by the prototypes, and the software product information comprises function characteristic information and version information. For any prototype, the prototype source files, the software product information and the plug-in resources used by the prototype are associated and bound to generate an associated data set, and a prototype library containing a function characteristic dimension and a version dimension is constructed based on the associated data set of each prototype. Then, in response to a retrieval condition input by a user, the prototype library is retrieved according to the function characteristic dimension or the version dimension to obtain matched prototype information. The application improves the prototype retrieval efficiency and accuracy.

This utility model provides a layered label, relating to the field of label technology. It includes a label body with an information-carrying layer inside. A flexible layer is fixedly attached to the bottom of the information-carrying layer, and an adhesive layer is fixedly attached to the bottom of the flexible layer. A surface information layer is located within the information-carrying layer, and a UV-resistant isolation layer is located at the top of the surface information layer. A fluorescent high-brightness layer is fixedly attached to the top of the UV-resistant isolation layer. The fluorescent high-brightness layer, using a rare-earth fluorescent pigment coating with a thickness of 0.01-0.02mm, requires no external power source and can automatically emit light in dimly lit warehouses or nighttime environments, improving retrieval efficiency and enhancing practicality. The UV-resistant isolation layer, using a transparent UV absorber film with a thickness of 0.02-0.03mm, extends the lifespan of outdoor labels (such as on open-air shelves) and resists text blurring caused by direct sunlight, further enhancing practicality and making the label body more functionally comprehensive.

The application provides an identity card address updating method, device, equipment, medium and program product, and relates to the technical field of digital data processing. According to a target identity card number, searching is performed in an address dictionary tree, an administrative planning tree and an index address tree to obtain a searched identity card address. The original identity card address of the target identity card number is updated based on the searched identity card address. The first administrative region of the target identity card number is quickly found through the address dictionary tree and the administrative planning tree, and the searching efficiency of the identity card address is improved. Meanwhile, the administrative planning tree includes a first change instruction, and the index address tree includes a second change instruction, so that the searched identity card address is an updated address, and the efficiency of perfecting and correcting the identity card address after the change of the administrative region is improved.

This disclosure relates to the field of data processing technology, and in particular to a method, apparatus, and electronic device for managing home decoration products. The method includes: obtaining a target transaction identifier; performing a fast search based on the target transaction identifier to obtain a search index corresponding to the target transaction identifier; wherein, one target transaction identifier corresponds to one search index; determining a historical version snapshot of the target home decoration product corresponding to the search index based on the search index; wherein, the historical version snapshot includes one or more of a product master table snapshot, an inventory table snapshot, a price table snapshot, and a request table snapshot; generating a prompt message based on the historical version snapshot; wherein, the prompt message is used to indicate the search results corresponding to the target transaction identifier.

The application discloses a kind of real estate data matching method and system based on priority search chain, it is related to data matching and query system field, this real estate data matching method and system based on priority search chain, data end is marked to house information by different mark, user end collects user demand and carries out priority sorting, according to sorting in database search, in the aspect of house information processing, the corresponding mark identification of the house information collected, according to different mark, the classification and search of house information, in user, according to the actual demand of the user collected, and the priority sorting of user demand, search tool according to the order of user demand in house source database carries out search, from last item collected data to the back sorting, obtains the data list of most matching user demand, avoid the data disorder caused by multiple different needs, and useless even false advertisement influence user's audio-visual.

This invention provides an intelligent storage chip integrating an edge computing data processing system, relating to the field of electronic digital data processing. It includes a data acquisition module, an edge computing module, a data storage module, and a chip management module. The data acquisition module receives externally input information data; the edge computing module performs computational analysis on the data; the data storage module stores the processed data; and the chip management module controls and manages the chip's computational and storage functions. By adding an edge computing module, this chip utilizes computing power to process edge tasks while simultaneously managing data storage, effectively improving the retrieval efficiency and access speed of stored data.

This invention discloses a retrieval enhancement generation method and system based on contradiction detection feedback, aiming to solve the problems of single data source, insufficient retrieval accuracy, and lack of factual verification in existing technologies. The method mainly includes three core steps: First, document block storage, using OCR and VLLM technologies to extract features from text, tables, and images and uniformly vectorize and store them; second, multi-source query retrieval, using an iterative retrieval controller to introduce a self-reflective closed loop, dynamically evaluating and optimizing the quality of the retrieved content; and finally, contradiction detection generation, comparing the generated content with the source documents for factual accuracy, and feeding back any conflicts to the model for forced correction. This invention effectively expands the sources of multimodal knowledge, suppresses model "illusions," and significantly improves the accuracy and fidelity of the generated answers.

Embodiments of the present application provide a video segment retrieval model generation method, device and equipment, and a storage medium, relating to the field of artificial intelligence. The method comprises: obtaining a plurality of video blocks and their corresponding video text information and prior boxes by performing segmentation processing on a video segment; performing feature coding processing on the plurality of video blocks and their corresponding video text information to generate video coding information and text coding information corresponding to the plurality of video blocks; constructing a first graph network structure; updating nodes in the first graph network structure according to the video coding information and the text coding information to obtain a second graph network structure; determining a loss function of a video segment retrieval model according to labels corresponding to the prior boxes; and training the video segment retrieval model based on the second graph network structure and the loss function to obtain a target video segment retrieval model. The present application aims to solve the problem that complete videos cannot be accurately retrieved through video segments in related technologies.

This invention discloses a hierarchical retrieval method, apparatus, device, storage medium, and product for encrypted data. The method includes: when a query statement indicates a retrieval of encrypted data, requesting a distributed cache node to perform a first-level cache retrieval based on the query keywords in the query statement; if the first-level cache retrieval query fails, parsing and constructing an encrypted index query value from the query keywords in the query statement; performing a second-level encrypted retrieval based on the encrypted index query value to obtain a second-level encrypted retrieval result for the encrypted data; and caching the second-level encrypted retrieval result in a distributed cache for retrieval filtering to obtain the final retrieval result. This invention, by introducing a second-level retrieval mechanism, can effectively improve the accuracy of data retrieval. Furthermore, by introducing an encrypted index query value to achieve encrypted retrieval in the second-level encrypted retrieval, it can effectively improve data retrieval efficiency and reduce storage usage during the data retrieval process.

This invention relates to the field of knowledge base technology, specifically to a knowledge base retrieval method supporting compression. It includes the following steps: S1, establishing a B+ tree as the index structure of the knowledge base, and compressing the B+ tree index structure using prefix compression technology; S2, compressing the data in the knowledge base using an intelligent differential compression algorithm; S3, adjusting the interaction between the index structure and compressed data using an intelligent index retrieval algorithm based on the B+ tree index structure; S4, monitoring performance indicators in real time and periodically checking the integrity of the data. This knowledge base retrieval method supporting compression optimizes data storage through an intelligent differential compression algorithm, significantly reducing storage space, and employs an intelligent index retrieval algorithm based on a B+ tree to achieve intelligent and fast data retrieval, optimize query paths, reduce decompression time, and improve retrieval efficiency.

The application discloses an intelligent question answering method and device, electronic equipment and storage medium, and belongs to the technical field of artificial intelligence. The method comprises the following steps: acquiring question information; searching a first knowledge base according to the question information; the first knowledge base stores a plurality of question-answer pairs constructed according to static information data; if a matched target question is searched, outputting the corresponding answer; otherwise, inputting the question information into a question answering model to obtain an answer output based on a second knowledge base; the second knowledge base stores a plurality of knowledge vectors constructed according to dynamic information data. According to the application, the question-answer pairs are constructed according to the static information data, and the knowledge vectors are constructed according to the dynamic information data, so that the workload of manually entering data can be reduced, and the timeliness of the answering basis can be improved; by searching the first knowledge base first, and outputting the answer based on the second knowledge base by the question answering model in the case of a miss, the answering failure or error can be reduced, and the question answering efficiency can be improved.

A method, system, electronic device, and medium for filtering blockchain audit information are disclosed, relating to the field of data processing technology. The method includes: firstly, acquiring raw audit logs containing operator identifiers, object identifiers, behavior types, and timestamps, and constructing index structures based on these elements in three dimensions: time, subject-object relationship, and behavior type. Upon receiving a user's security event description, the system generates an event feature vector, used to retrieve a set of relevant candidate logs from the index structure. By calculating the information correlation between the feature vector and the candidate logs, and combining the mean and standard deviation of the correlation, a dynamic filtering threshold is determined to filter out highly relevant target logs. Finally, the filtering results are organized into an audit trajectory chain according to a time series, forming a structured analysis report. Implementing the technical solution provided in this application can improve the accuracy of blockchain audit information filtering.

This application discloses a multimodal geological knowledge retrieval method, apparatus, equipment, medium, and product, relating to the field of geological data retrieval. The method includes: obtaining a user's query vector; calculating the similarity between the query vector and vectors in a multimodal geological knowledge vector database to obtain a similarity score; the vectors in the multimodal geological knowledge vector database being vectors in a unified semantic space; sorting the vectors in the multimodal geological knowledge vector database in descending order according to the similarity score to obtain retrieval results; and feeding back the retrieval results to the user and dynamically adjusting the vector weights in the multimodal geological knowledge vector database based on the user's feedback signal on the retrieval results. This application enables cross-modal and accurate retrieval.

The present application relates to a kind of sound image archives two-dimension fusion intelligent retrieval system and method, including archive data preprocessing module, photo and sound image fusion face recognition library, two-dimension fusion retrieval model and double-engine collaborative retrieval scheduling module, photo and sound image fusion face recognition library establishes the association index of face feature and business attribute;Two-dimension fusion retrieval model dynamically adjusts the matching weight of photo and business attribute, sets similarity threshold, filters out the archives of two-dimension comprehensive matching degree standard;In double-engine collaborative retrieval scheduling module, first by face recognition retrieval engine according to face feature matching candidate archives, output candidate archive set, then by attribute screening engine according to user setting condition to candidate archive carries out business attribute matching, the archives of matching success are output, obtain target archive.The present application has the advantages that: by constructing fusion face recognition library, two-dimension fusion retrieval model and double-engine collaborative retrieval scheduling module, realize fast and accurate retrieval.

This invention discloses an intelligent product configuration method and system based on multi-level semantic matching, comprising: acquiring a demand dataset, extracting feature information from demand items and concatenating them to form demand text; using a text embedding model for vectorized encoding, performing an approximate nearest neighbor search in a product vector index library to obtain a first candidate product set; pairing the demand text with the feature text of the first candidate products, inputting it into a semantic re-ranking model to complete relevance modeling and outputting a matching score, and re-ranking and filtering based on the score to obtain a second candidate product set; inputting the demand text and the product information of the second candidate product set into a large language model, which performs multi-candidate joint evaluation and outputs a structured evaluation result; after parsing and verifying the structured evaluation result, generating and outputting a configuration result containing the selected product identifier. This invention achieves multi-level semantic matching and intelligent product configuration, improving matching accuracy and decision reliability.

This application provides a retrieval method, electronic device, storage medium, and program product, relating to the field of operation and maintenance data processing technology. The retrieval method includes: acquiring a vector knowledge database corresponding to a target document set and real-time status data of a target intelligent operation and maintenance scenario; then, breaking down an initial question into multiple sub-questions and performing intent judgment to determine a retrieval target set; performing preset similarity matching based on the retrieval target set to obtain a first text block set; then, acquiring real-time status data of the target intelligent operation and maintenance scenario; fusing the real-time status data, the first text block set, and the general knowledge of a preset base large language model to construct structured prompt words and generate an initial answer; evaluating the initial answer and outputting a standardized question processing result. Therefore, this application can effectively fuse target document data with real-time operation and maintenance status data, improving the accuracy of the generated retrieval answer.

This application provides a method and apparatus for superedge evidence analysis of multi-site chromatin interactions, relating to the field of high-order graph data processing. The method includes: decomposing and mapping target reads in multi-connected read interaction data to a set of anchor points; normalizing the hit anchor points to generate superedge signatures and saving evidence pointers to form superedge evidence transactions; incrementally mining the superedge evidence transactions under biological and statistical constraints to obtain a set of candidate superedges; backtracking read evidence based on evidence pointers and calculating the consistency statistic of the target candidate superedges; constructing a significance discrimination null model based on the consistency statistic, outputting a significance probability value, and obtaining a corrected significance probability value through multiple tests; and outputting the superedge evidence analysis results and a verifiable data package for backtracking evidence pointers based on the corrected significance probability value. This application solves the problem of inaccurate significance determination results in existing analysis systems when evaluating multi-site interactions.

A multi-agent context sharing method, system, and medium are disclosed, comprising: parsing the context content output by a first agent to generate corresponding metadata; associating the context content with the corresponding metadata and storing it in a distributed cache; establishing a topic set indexed by a session identifier in the distributed cache and adding the topic identifiers to the topic set; responding to a task to be executed by a second agent, obtaining the topic set corresponding to the current session identifier, reading the topic descriptions corresponding to each topic identifier in the topic set, and generating a list of topic descriptions; inputting the task to be executed and the corresponding list of topic descriptions into a large language model, receiving the topic identifier set returned by the large language model as the target topic identifiers semantically related to the task to be executed; and reading the corresponding context content from the distributed cache according to the target topic identifiers, associating the context content with the task to be executed, and inputting it into the second agent.

The application provides a financial variable retrieval method based on semantic-statistical dual-space fusion and polysemy abbreviation closed-loop disambiguation verification. The application can realize high-precision retrieval of financial variables by constructing a semantic vector retrieval space and a statistical metadata retrieval space. At the same time, the financial abbreviation polysemy disambiguation module is used to accurately analyze the multiple meanings of abbreviations combined with context information, solving the problem of abbreviation ambiguity and variable retrieval fragmentation in traditional methods. Through a bidirectional closed-loop consistency verification mechanism, the system uses the retrieval results to verify the meaning of the abbreviation in reverse, dynamically updates, and ensures the statistical consistency of variable matching. Specifically, the application includes receiving user queries and preprocessing, disambiguating abbreviations and generating retrieval intent, parallel retrieval in dual space, fusion scoring and sorting of results, reverse verification and updating of abbreviation meaning, and finally outputting accurate variable candidates and their statistical attributes. The application can effectively reduce financial variable mismatching and abbreviation misinterpretation, improve the reliability, interpretability and reproducibility of retrieval results, and has a wide application prospect, especially suitable for retrieval fields assisted by big data and large language models.

This application provides a method, apparatus, and device for managing instant messaging message keys based on RedisHBase hierarchical caching and blocking queues. The server generates message keys and performs hierarchical storage processing based on a remote dictionary service protocol and a distributed database protocol to implement hierarchical key storage including hot and cold layers. The server performs derivation operations based on the recipient's user identifier to generate a user-derived key, and uses the user-derived key to match the message key and performs double-layer encryption transmission processing to obtain a key-type message including the encrypted transmission key, which is then sent to the client. The client parses the transmission key from the received key-type message and performs priority scheduling and session-level blocking determination with the encrypted message to generate an undecrypted message blocking queue.

The application relates to the technical field of digital twinning, and discloses a digital twinning simulation modeling method for interface phenomena of bimetallic composite plates in additive manufacturing. The method constructs an interface multidimensional feature database to store multiscale data and sets a label index system; a cross-scale multi-physical field coupling basic simulation model is established to synchronously solve a macroscopic molten pool thermal flow field, a mesoscopic element diffusion field and a microscopic grain growth field; in response to real-time collection data in additive manufacturing, structured retrieval is performed in the database, interface constitutive parameters and evolution boundary conditions are input into the model, a heterogeneous graph is constructed from simulation output data and measured data, key feature nodes are located by using an attention mechanism, and model correction parameters are calculated; the method eliminates the static deviation between the simulation model and the physical entity, realizes dynamic synchronous mapping of the interface evolution process and efficient reuse of feature data.