181 results about "Exact match" patented technology

A schema and cell value aware Named Entity Recognition (NER) model is used to perform natural language queries. Natural language queries may be received via an interface of a natural language query processing system. A fuzzy search may be performed that allows non-exact matches for column names or cell values of data sets potentially used to answer the natural language query. An NER model that adds a type embedding for an exact match of a column name or cell found in the fuzzy search that corresponds to a span of one or more words may be applied as part of generating the entity prediction for the natural language query. One or more queries to at least one of the data sets may be performed to return a result to the natural language query using the entity prediction generated by the NER machine learning model.

A method relating to determining similarities between media, and systems and computer-readable media used to implement said method, includes determining an input image for comparison with a plurality of stored images in a media database; vectorising the input image to determine an input image vector representation; and comparing the input image with each of the plurality of stored images in a media database. The method further comprises outputting a set of direct matches and a set of exact matches as a detected comparison output for the input image. Further embodiments also relate to systems and methods for associating digital media with provenance information and creating verified copyright assets for attributing copyright ownership using the systems and methods disclosed herein.

The invention relates to the field of power question answering, in particular to a power knowledge question-answer matching method and system based on an improved retrieval enhancement generation technology, and the method comprises the steps: employing a training set to carry out the decomposition of a pre-constructed Embedding model, and carrying out the training of the Embedding model, and obtaining an Embedding fine tuning model; the method comprises the following steps: vectorizing a power field file by adopting an Embedding fine tuning model to obtain a power knowledge base, and constructing a regular expression rule base; the user consultation content is converted into a query vector, the query vector is matched with the regular expression rule base to obtain an accurate matching result, and meanwhile the query vector is matched with the power knowledge base to obtain a fuzzy matching result; semantic correlation sorting is carried out on the accurate matching result and the fuzzy matching result, and then resorting is carried out by adopting a resorter in combination with a service rule; and inputting the reordering result into a large language model to obtain a result corresponding to the user consultation content. The method can effectively solve the problem of inaccuracy during retrieval of a specific ID, and improves the retrieval precision of a retrieval enhancement generation system.

Automatic post-editing of machine translated content is disclosed herein. An example method includes receiving a source document for translation, calculating semantic signatures of text chunks within the source document using an artificial intelligence (AI) model, matching the semantic signatures against a repository of previous translations, and displaying a document-based visualization that includes both semantic and exact matches found in the repository of previous translations.

The invention relates to an intelligent data transaction matching method. The method comprises the following steps: constructing a user portrait through personal information and historical behavior record information of a data transaction buyer, and generating a user tag set for describing user features; performing multi-dimensional analysis on each data product on the platform to generate a product label set for describing product features; adopting a natural language processing technology and a machine learning algorithm to calculate the matching degree between the user label and the product label; according to the label matching degree, generating a product recommendation list according to a preset weight algorithm; and dynamically adjusting the recommendation strategy according to user feedback. According to the method, more accurate personalized recommendation is realized by comprehensively analyzing the user tags and the product tags, the accuracy and the user satisfaction of a recommendation system can be remarkably improved, the probability of successful business matching is improved by accurately matching user interests and product characteristics, and compared with a traditional recommendation algorithm, the method has the advantage that the recommendation efficiency is improved. The method has obvious advantages in the aspects of product characteristic identification, recommendation strategy adjustment and the like.

The invention discloses an employee matching method and system based on artificial intelligence, and belongs to the technical field of human resource matching, and the method comprises the following steps: resume analysis: automatically analyzing a resume of a job seeker, and extracting key information; position description analysis: automatically analyzing the position description of the recruitment enterprise, and extracting key requirements; feature matching: performing feature extraction and matching on the key information of the job seeker and the position through a deep learning algorithm; similarity evaluation: according to a feature matching result, evaluating a matching degree between the job seeker and the position, and giving a matching score; and user interaction: the job seeker and the recruitment enterprise query a matching result and related information through a user interface. According to the invention, through technologies of deep learning, natural language processing and the like, resumes of job seekers and position description of recruitment enterprises are automatically analyzed, so that efficient and accurate matching between the job seekers and positions is realized.

The invention, which relates to the technical field of leakage current detection, discloses a leakage current waveform matching method based on combination of multi-machine learning and a weighted voting mechanism, comprising the following steps: S1, preprocessing current data; s2, feature extraction of the current data; s3, establishing and training a multi-machine learning model; and S4, performing leakage current waveform matching of a multi-machine learning model in combination with a weighted voting mechanism. According to the leakage current waveform matching method combining multi-machine learning with the weighted voting mechanism, the classification accuracy and robustness of the model are effectively improved through the multi-model weighted voting mechanism in the accurate matching and classification identification of the leakage current waveform; the method has the specific effects that multiple features are extracted from three dimensions of a time domain, a frequency domain and a time-frequency domain, and the features of the leakage current waveform are comprehensively and deeply described, so that the classification model can more fully identify the features of different types of leakage currents, and the identification accuracy of the model is greatly improved.

The invention relates to the technical field of natural language processing, and discloses an SQL code generation method and device, and a financial data query method, device and equipment, and the method comprises the steps: obtaining a question statement sent by a target object for a target field; performing intention recognition on the question statement by utilizing the generated large model so as to construct a context cue word; wherein the generated large model is obtained by training generalization knowledge and specific knowledge in advance; performing accurate matching of an SQL generation template on the question statement according to the context cue word; if the accurate matching result shows that the target SQL generation template is matched, generating an SQL code corresponding to the question statement based on the target SQL generation template; and if the accurate matching result shows that the target SQL generation template is not matched, generating an SQL code corresponding to the question statement according to the context cue word. The SQL code generation method and device have the beneficial effects that the efficiency and accuracy of the SQL code generation process are improved, and meanwhile, the matching degree of the obtained SQL code and the question statement is improved.

The disclosed computer-implemented method may match transportation requestor devices to transportation provider devices pre-request by using the same matching process employed by a matching engine that is capable of predicting transportation swaps and walks. Multiple matches may be showcased on user devices, and offline transportation providers may see an exact match to a requestor, with an ability to go online and accept the pre-request match. Additional techniques disclosed include the curation and presentation of offers using constraint space partitioning and adjustment of price and / or the presentation of offers based on real-time information to improve the efficiency and / or utilization of transportation provider resources.

The invention discloses a rationality analysis method for acquisition and bidding evaluation information of power equipment, which comprises the following steps: constructing a regular expression to perform paragraph matching on preprocessed bidding document and bidding document texts, and extracting specific parameter contents; obtaining an absolute error and a relative error based on each bidding value and each bidding value, and comparing the absolute error and the relative error with a preset threshold to obtain a numerical deviation degree grade of the bidding file relative to the bidding file; the method comprises the following steps: splitting a bid invitation file and a bidding file into character sequences, creating a two-dimensional table, analyzing to obtain an editing distance value of each text, obtaining a comprehensive matching degree of the text through accurate matching and fuzzy matching based on a preset synonym library, and further obtaining a text deviation degree grade; constructing a deviation degree comprehensive evaluation rule matrix based on the numerical deviation degree grade and the text deviation degree grade of the bidding file relative to the bidding file, and obtaining a corresponding comprehensive evaluation result; according to the invention, the efficiency and accuracy of collection and bidding evaluation of the power equipment are improved, and personal errors and compliance risks are reduced.

The invention discloses a permission matching method and device, and relates to the technical field of computers. The method comprises the following steps: acquiring a to-be-matched path; performing permission rule matching on the to-be-matched path based on a pre-constructed permission rule tree; when the permission rule in the permission rule tree is matched, determining a corresponding rule control permission based on the permission rule, and obtaining a permission matching result of the to-be-matched path; and when the permission rule in the permission rule tree is not matched, determining a preset default control permission as a permission matching result of the to-be-matched path. According to the method, the accurate child nodes, the single-wildcard child nodes and the multi-wildcard child nodes are integrated through the permission rule tree of the single tree structure, common permission matching scenes such as accurate matching, single-segment wildcard matching and cross-multi-segment wildcard matching can be covered without introducing a regular expression, the integrity of the expression ability is guaranteed, the implementation complexity is reduced, and the implementation efficiency is improved. And the system stability is improved. And meanwhile, the problem of matching logic confusion caused by traditional multi-rule scattered storage is avoided.

The invention relates to the technical field of natural language processing, and discloses a hotspot information detection method and device, equipment, a storage medium and a program product. Analyzing the query content to obtain a query word vector of the query content; performing similarity matching on the query word vector and a hot word vector in a dynamic hot word library, wherein the hot word vector is a vector representation of a hot word in the dynamic hot word library; and determining a hot word information detection result of the query content based on a similarity matching result. Therefore, accurate matching of the query content and the hot words in the dynamic hot word library is realized through similarity matching, and the hot word labels are intelligently divided, so that the accuracy and correlation of response of the user to the query content in the hot spot field are effectively improved, and the user experience is remarkably improved.

The invention relates to the technical field of artificial intelligence and music information processing, in particular to a multi-modal signal fusion music playing accuracy evaluation system. The system comprises a multi-modal signal synchronous acquisition module, a signal preprocessing and feature extraction module, a time domain alignment and event association engine, a hierarchical collaborative evaluation module and a comprehensive evaluation report generation module. Through high-precision synchronous acquisition of an MIDI instruction, an acoustic signal and a structural vibration signal, a nonlinear time domain alignment mechanism taking dynamic time warping as a core is constructed, accurate matching of a symbol event and a physical response is realized, and an alignment multi-modal event frame is formed; and collaborative quantitative evaluation of basic accuracy, technical skill and music expressive force is carried out through the hierarchical model. By adopting the technical scheme, full-link high-fidelity analysis from playing intention to physical presentation can be realized, and the accuracy, robustness and interpretability of evaluation are remarkably improved.

Automatic post-editing of machine translated content is disclosed herein. An example method includes receiving a source document for translation, calculating semantic signatures of text chunks within the source document using an artificial intelligence (AI) model, matching the semantic signatures against a repository of previous translations, and displaying a document-based visualization that includes both semantic and exact matches found in the repository of previous translations.

A method for processing packets, comprising receiving a packet via a representor port on a data processing unit (DPU) operatively connected to a physical host, in response to receiving the packet, processing packet using a hardware switch pipeline in the DPU, where the processing the packet comprises using a plurality of match / action tables to identify an exact match flow entry for the packet, where the plurality of match / action tables do not contain any match flow entries that are not exact match flow entries; and initiating transmission of the packet towards its intended destination using the exact match flow entry.

The embodiment of the invention provides a scene execution method and system, electronic equipment and a storage medium, and the method comprises the steps: determining a current triggering parameter, and determining a first fuzzy membership degree of the current triggering parameter and a mode triggering condition of a conflict scene with an execution conflict; according to the first fuzzy membership degree, determining an execution priority of the conflict scene; and according to the execution priority, determining a target scene from the plurality of conflict scenes, and executing the target scene. Through the embodiment of the invention, the conflict of the scene can be eliminated based on the fuzzy logic, so that the problems that the execution result deviates from the user intention due to the fact that accurate matching is difficult to adapt to the actual scene, and automatic execution in the dynamic scene is met are solved.

The invention provides a data query method and device, electronic equipment and a storage medium, and the method comprises the steps: receiving a query request which carries a query condition and a target field needing to be queried; scanning data table metadata based on a partition condition and a field value range condition in the query conditions, and performing file-level filtering on data files stored in a bottom layer to obtain a candidate file set; based on an accurate matching condition and a range query condition in the query conditions and a pre-established row group level index, performing row group level filtering on each data file in the candidate file set to obtain a data row group set meeting the conditions; and reading data of the corresponding column from the data row group set according to the target field to obtain a query result set. The defect that the traditional file-level filtering granularity is insufficient is overcome, the problem that the adaptability of a single index is poor is solved through intelligent index combination, and meanwhile the heterogeneous characteristic of multi-modal data is perfectly adapted.

The invention provides an AI-based policy analysis and enterprise intelligent matching method and system, and the method comprises the steps: mapping original policy elements of a policy text to a structured rule template, and generating a policy situation model; carrying out AI identification on enterprise information of a target enterprise input by a user, and generating an enterprise standard portrait; performing field mapping on the enterprise standard portrait and the access condition of the policy situation model to determine a policy set; performing weighted calculation on the matching fields of the policy set based on the matching factor of the policy situation model, and generating a matching value of each policy in the policy set for the target enterprise; and binding the matching value with the identification information of the target enterprise to generate an enterprise policy matching result. Through implementation of the scheme of the invention, the original policy elements are mapped to the structured rule template to generate the policy situation model, the enterprise standard portrait is constructed, and in combination with access condition logic judgment, accurate matching of the structured logic model is realized, and the accuracy of enterprise policy recommendation is effectively improved.

A method for processing packets, the method comprising receiving a packet by a data processing unit (DPU) operatively connected to a physical host, in response to receiving the packet, processing packet using a hardware switch pipeline in the DPU, wherein the processing the packet comprises using a plurality of match / action tables to identify an exact match flow entry for the packet, wherein the plurality of match / action tables do not contain any match flow entries that are not exact match flow entries, and initiating transmission of the packet towards its intended destination using the exact match flow entry.

Prefix compression routes provided via exact match using redirection and mirroring Forwarding Equivalence Class entries in hardware. In a network device, a first table is stored having a first entry, a second table is stored having a second entry, and a third table is stored having a third entry including routing information for routing data packets. The first entry references a first memory location in the second table, the second memory location stores the second entry, and the second entry referencing a second memory location in the third table. A data packet is received, and the first entry is accessed based on a destination address of the data packet. Routing information is obtained as a result of accessing the first entry. The data packet is sent by the network device according to the routing information.

A method for processing packets, the method comprising receiving a packet by a data processing unit (DPU), making a first determination that there is no exact match flow entry in a hardware switch pipeline in the DPU for the packet, in response to the first determination, classifying, in the DPU, the packet as a data packet, in response to the classifying of the packet: identifying, using a software data plane in the DPU, a forwarding information base (FIB) entry to be used to transmit the packet towards its intended destination, identifying, using the software data plane, a flow associated with the packet, initiating, using the software data plane, programming of an exact match flow entry in the hardware switch pipeline, and initiating, using the software data plane, transmission of the packet towards its intended destination using the FIB entry and the hardware switch pipeline.

The invention discloses a hospital examination and inspection result sharing method based on big data, and relates to the technical field of hospital examination and inspection result sharing. Examination data and inspection data are respectively stored in independent databases, and the two types of data are intelligently linked by using a unique identity label of a patient and a time stamp; the format, the time sequence and the semantic information are accurately matched to form a continuous and visual comprehensive disease course record; introducing a deep learning model, carrying out natural language processing on an unstructured text in the inspection data, and automatically converting an image description and a diagnosis report into structured data and a predefined semantic tag; according to the method, the workload of manual structuring is reduced, distributed storage, dynamic updating and multi-dimensional index query modules are constructed based on a big data analysis platform, real-time retrieval and joint query are conducted on comprehensive disease course data records, meanwhile, an early warning report is generated through an anomaly detection algorithm, and a basis is provided for clinical decision making.

The invention belongs to the technical field of approximate semantic matching of texts, and particularly relates to a rule retelling matching method and system based on deep learning and cosine similarity matching. Comprising the following steps of: 1, constructing a graph structure of a text, expressing text information as a graph node mode, and expressing a relationship between vocabularies by using edges of a graph; 2, introducing a nuclear power professional vocabulary library; 3, modeling context vocabulary correlation by a language knowledge attention model, iteratively updating word representation and semantic representation, and fusing useful information of the word representation and the semantic representation; and 4, fusing word representation into a character level, matching two character sequences by using a bilateral multi-view matching mechanism, and predicting a relationship between two sentences by using a relationship classifier by using a sentence vector as an input. The method has the beneficial effects that the problem that accurate matching is difficult due to the fact that the repeated text and the original procedure text are the same in semantics and different in vocabularies during personnel retelling can be solved.

A search engine of a network device performs a lookup based on packet information associated with a packet being processed using a plurality of packet processing applications. The lookup includes one or more accesses to a lookup table that includes a plurality of interleaved entries associated with different ones of the packet processing applications. For each access, the search engine generates a search key to include at least a search string generated based on the packet information and an application identifier indicating a packet processing application for which the lookup is being performed, identifies an entry based on the search key, determines whether the search key matches search information in the identified entry, and when the search key matches the search information in the identified entry, identifies an action to be performed by the packet processor in connection with processing the packet by the packet processing application.

The invention relates to a data map generation and retrieval method and device, equipment and a medium. The method comprises the steps of collecting metadata and obtaining relation information; the collected metadata are registered in a data map after being cleaned, and definition is carried out according to a metadata type definition rule; establishing a graph database according to the entity information, the relation information and the attribute information; preprocessing and vectorizing the metadata, and storing the metadata to a vector library; obtaining input information of a user and analyzing the input information; if the user intention and the key information can be accurately identified, accurate matching is carried out; if not, preprocessing and vectorizing the user input to obtain a user input vector; performing retrieval based on a user input vector and a vector library, and screening preliminary candidate results; and sorting the candidate results, querying the graph database according to the sorting sequence, and feeding back a query result to the user. Compared with the prior art, the method has the advantages of high retrieval efficiency, accurate retrieval result and the like.

The invention discloses a commodity order information intelligent identification method based on natural language processing, and belongs to the technical field of natural language processing. Aiming at the problem of low recognition accuracy of unstructured text order information, the invention provides an intelligent recognition method. The method comprises the following steps: receiving an unstructured text; preprocessing, including conversion from traditional Chinese characters to simplified Chinese characters, space removal and keyword filtering; commodity names are extracted by adopting accurate matching and pinyin fuzzy matching; extracting numbers and quantity identifiers; analyzing the number of each commodity, including processing the expression of each character, the expression of a direct number, the expression of a negative number and the expression of 0; and outputting the structured order information. In addition, the method can also process agency orders and serial number orders, identifies commodity name variants through a sliding window technology and Pinyin similarity calculation, improves order processing efficiency, enhances the capability of processing complex expressions, reduces labor cost, and improves user experience.

The invention provides a query method and device of a relational database, electronic equipment and a storage medium, and belongs to the technical field of database information management.The method comprises the steps that a user query request is obtained, and the user query request is divided into a fuzzy query condition and a non-fuzzy query condition; based on a search engine service provided with a fuzzy query data table in the relational database, querying by adopting a fuzzy query condition to obtain an identifier set conforming to the fuzzy query condition; and combining the identifier set with a non-fuzzy query condition to obtain a target query statement, and querying the relational database based on the target query statement. According to the invention, query is carried out based on the fuzzy query condition, and then query is carried out based on the fuzzy query result in combination with the non-fuzzy query condition; the problems that an existing database query method cannot meet the requirement for included query of meaningless character strings, the data size of a data table is very large, and the query requirement for accurate matching of an association table exists can be solved.

The invention discloses an interface internationalization language switching method based on a go language, and relates to the technical field of interface data processing. The method comprises the steps of 1, defining a translation data processing function, converting a to-be-translated field in an interface response message into a JSON object, and performing recursive matching on a key value of the JSON object and a key value of a pre-stored translation text; 2, binding a translation data processing function to a target interface, and automatically triggering translation processing after interface business logic is executed; 3, multi-language translation data are pre-stored through a database table or a JSON file, a storage structure comprises source language columns and multiple target language columns, and source language data and target language data in the same row are in one-to-one correspondence; and 4, dynamically loading translation data corresponding to a target language according to the language parameters in the request header when responding to message processing, and completing text replacement through accurate matching or fuzzy matching.

Methods, systems, and computer program products for determining eligible lead information for accurate matching to booking events. A matching event from a service provider associated with one or more booking events is received. A lead lookup timeframe and a booking lookup timeframe based on the matching event is determined. Booking event data that includes one or more sets of booking event attributes for the booking events is obtained based on the matching event and the booking lookup timeframe. Lead data for the plurality of booking events is obtained based on the matching event and the lead lookup timeframe. Eligible lead information for each booking event of the one or more booking events that is correlated with a corresponding lead from the lead data is determined based on a booking matching algorithm using on one or more criterion. The eligible lead information is provided to the service provider.

The invention belongs to the technical field of data processing, and particularly relates to a case information processing method and system based on big data, and the method comprises the steps: determining a first number according to the retrieval frequency of each retrieval information data in case information and a preset number, determining an identification bit combination of each piece of retrieval information data according to the first quantity and all bits in binary data corresponding to the retrieval information data, determining priority identification information of the case information according to the identification bit combination of all the retrieval information data, and sorting and storing all the case information according to the size of the priority identification information. The method comprises the following steps: performing retrieval in response to a retrieval requirement input by a user, predicting a preliminary screening range of priority identification information according to the retrieval requirement, further determining a preliminary screening result, performing accurate matching in the preliminary screening result according to the retrieval requirement, obtaining a retrieval result, and returning the retrieval result to the user. According to the method, the case information retrieval speed and efficiency are improved.