28 results about "Patent retrieval" patented technology

The invention discloses a patent evaluation method based on a feature-efficacy matrix and a large language model, which performs feature-efficacy matrix analysis and construction on a patent text set to be processed by using text generalization and downstream task potential of the large language model, and does not need to adopt manual annotation, thereby reducing the cost. Wherein at least one feature-efficacy matrix and a patent summary contained in a patent text to be processed are obtained in the analysis and construction step of the large language model. According to the method, a vector and efficacy interval mixed retrieval mode is constructed based on the feature-efficacy matrix, and complex query requirements of patents are accurately matched. Meanwhile, a multi-dimensional patent quality evaluation mode based on a feature-efficacy matrix is a comprehensive evaluation mode from the dimensions of novelty, efficacy, popularity and the like and is applied to patent retrieval, and the analysis effect of related patents is further improved.

This invention discloses a patent matching method and apparatus based on user needs. The method includes: inputting historical patent texts into a patent feature extraction model to generate multiple module-fused feature vector matrices for each historical patent text; vectorizing all module-fused feature vector matrices and storing them in a patent feature library to be matched; after obtaining user needs, extracting a set of feature words corresponding to the user needs; dynamically adjusting the parameters of the BM25 algorithm based on the technical field and word frequency distribution corresponding to the user needs; and then filtering patent texts from the patent feature library to be matched based on the set of feature words to obtain a coarsely ranked set of patent texts; generating a module-fused feature vector matrix corresponding to the user needs based on the patent feature extraction model; and filtering patent texts from the coarsely ranked set of patent texts based on the module-fused feature vector matrix corresponding to the user needs. This invention can improve retrieval efficiency and the matching degree between patent retrieval results and user needs.

The application discloses a patent retrieval method based on a feature-effect matrix and a large language model, and feature-effect matrix analysis and construction are performed on a patent text set to be processed by using the text generalization and downstream task potential of the large language model, without manual marking, so that the cost is reduced. In the analysis and construction step of the large language model, at least one feature-effect matrix contained in the patent text to be processed and a patent summary are obtained. The application constructs a vector, an effect interval mixed retrieval mode based on the feature-effect matrix, accurately matches the complex query requirements of the patent, and further improves the retrieval effect of the related patent.

The invention discloses a patent retrieval method based on a feature-efficacy matrix and a large language model, which performs feature-efficacy matrix analysis and construction on a patent text set to be processed by using text generalization and downstream task potential of the large language model, and does not need to adopt manual annotation, so that the cost is reduced. Wherein at least one feature-efficacy matrix and a patent summary contained in a patent text to be processed are obtained in the analysis and construction step of the large language model. According to the method, a vector and efficacy interval mixed retrieval mode is constructed based on the feature-efficacy matrix, complex query requirements of patents are accurately matched, and the retrieval effect of related patents is further improved.

This invention relates to a method for patent retrieval and technology monitoring of multi-source heterogeneous data. It constructs a multimodal semantic representation including text, images, and time-series fragments, and generates a joint temporal representation vector by combining attention perturbation entropy and term evolution distance. A unified semantic space is established based on historical technology anchors, dynamically monitoring and quantifying semantic shifts to achieve real-time determination of drift trends. When substantial semantic drift occurs, local semantic correction is performed using gated contrastive learning and an anchor-aware adaptation layer to guide the orderly alignment of newly added modal features, ensuring the continuation and expansion of the original semantic topology. Simultaneously, an anchor decay and candidate new anchor generation mechanism is designed, combining cross-validation from patent citations, industry reports, and policy documents to achieve incremental expansion of the semantically stable anchor set. This scheme effectively improves the fusion accuracy, real-time adaptability, and dynamic topology update capability of multimodal patent data.

The invention discloses an intellectual property information analysis and management method based on multi-dimensional data, and the method comprises the following steps: obtaining patent original data, constructing a patent record, and carrying out the preprocessing of an intellectual property data set; dividing the patent text data into a plurality of coding units according to a preset field range, and constructing vectorization representation for each patent; generating an adjusted sub-query set for the retrieval input based on a query decomposition algorithm; obtaining a sub-query mark sequence and a comprehensive candidate result set; and calculating a comprehensive sorting score, and generating a retrieval result list. According to the method, by introducing a patent retrieval framework combining multi-dimensional query decomposition and ConstBERT fixed multi-vector document representation, executable sub-query configuration can be stably generated and fine-grained semantic matching can be realized in a scene in which a long retrieval type, multiple limits and exclusion conditions coexist; and the accuracy, controllability, traceability and large-scale application performance of patent retrieval are improved.

The application provides an optimization method and device for improving cross-domain retrieval effect, and belongs to the technical field of data processing systems under the internet industry, such as a system based on a specific computing model or a data processing system or method technology field specially used for business. The feature coding model provided by the application can cross the difference in the visual dimension between e-commerce commodity illustrations and appearance patent illustrations. The system first extracts feature vectors of text and images by using natural language processing technology, computer vision technology and a deep learning model, then realizes cross-modal mapping of images and text descriptions and cross-domain mapping between e-commerce commodity illustrations and appearance patent illustrations by using a contrast learning method, so that the similarity between different image forms can be captured, common features between e-commerce commodity illustrations and appearance patent illustrations can be effectively identified, and the accuracy of cross-domain appearance patent retrieval of an appearance retrieval recall system can be improved.

The application discloses a kind of patent retrieval statistical engine based on Elasticsearch, comprising: standard request parameter acquisition module, for obtaining standard request parameter;Elasticsearch query statement conversion module, for converting standard request parameter into Elasticsearch query statement;Patent retrieval module, for carrying out patent retrieval in Elasticsearch using Elasticsearch query statement;Standard response result obtains module, for converting Elasticsearch retrieval result into standard response result output;The application defines an interface specification of patent retrieval statistics, implements patent retrieval statistical engine based on Elasticsearch, can handle a variety of patent retrieval statistical needs including complex condition retrieval, multidimensional data statistical analysis, patent deduplication document merging and asynchronous patent retrieval.

The invention discloses an intelligent patent retrieval system and method supporting multi-dimensional features, relates to the technical field of patent information retrieval analysis, and is used for solving the problem of inaccurate complex retrieval. Comprising an access module, a slicing module, an establishment module, a planning module, a fusion and arrangement module and an evidence module, the access module unifies names, abstracts, claims, specifications and classifications, subjects, time, families, citations and legal states and generates literature keys and relation keys, and the slicing module unfolds a reference chain to analyze a limiting structure, extracts components, relations, actions and constraint fragments and records positions. The establishment module constructs an inverted table, a vector table, a field table and a relation table, the planning module generates an execution sequence, an expansion rule and a rollback rule, the fusion module recall multiple tables and performs fusion sorting with a coverage matrix, and the evidence module aligns fragments to generate evidence fingerprints, so that the system can continuously correct synonymous expressions, slice boundaries and execution strategies, noise hit is reduced, and the system performance is improved. And the continuous adaptation capability of the retrieval result is improved.

The invention provides a method and a device for processing patent drawings based on a Transform model, and relates to the technical field of patent retrieval, the method is applied to a server, and the method comprises the following steps: obtaining patent drawings with drawings marks; carrying out splitting and linear mapping processing on the patent attached drawings to obtain patent attached drawing layers; the patent attached drawing layer is input to a Transform model, a feature pyramid is obtained, the feature pyramid comprises semantic features and spatial features marked by attached drawings, the semantic features are text content marked by the attached drawings, and the spatial features are the positions of the attached drawings marked in the patent attached drawings; the feature pyramid is input into an FPEM stacking model, an enhanced feature map is output, and the enhanced feature map comprises semantic features and spatial features marked by attached drawings; and feature recognition is performed on the enhanced feature map, feature processing is performed on the enhanced feature map, the text position of the attached map mark is obtained, and the feature of the attached map mark can be accurately extracted.

This application belongs to the field of information retrieval technology and discloses a multimodal patent semantic retrieval method and system. By establishing relation anchor points, extracting local cross-modal relation representations around the anchor points, and verifying the cross-modal consistency of these relations, reliable cross-modal relations can be identified. Furthermore, technical features / components and successfully aligned cross-modal relations are constructed into a graph structure representation, and a graph matching algorithm is used to calculate similarity. As a result, the overall logic and details of the technical solution can be understood more effectively, and solutions containing only the same technical features but with different relational structures can be distinguished, thereby improving the accuracy and relevance of multimodal patent retrieval.

1. Name of the product in this design: Intelligent Retrieval Graphical User Interface for Electronic Devices. 2. Intended use of this design: for use in an electronic device. 3. The key design features of this product are the graphical user interface displayed in the electronic device. 4. The image or photograph that best illustrates the design's key features: the front view. 5. Purpose of the graphical user interface: This graphical user interface is used for novelty searches and generating corresponding search reports, such as patent searches or Freedom to Operate (FTO) searches. The main view is the initial interface, displaying a "Start Agent" control. Interface state diagram 1 shows the interface state obtained after clicking the "Start Agent" control in the main view, displaying a "Confirm Technical Features, Start Search" control. Multiple technical features listed on this interface can be selected or deselected using the corresponding checkboxes. Interface state diagram 2 shows the interface state obtained after clicking the "Confirm Technical Features, Start Search" control in interface state diagram 1. Interface state diagram 3 shows the interface state automatically presented after the technical features in interface state diagram 2 are identified. Interface state diagram 4 shows the interface state obtained after swiping up on interface state diagram 3. The interface states obtained are shown in Figure 5; Figure 5 shows the interface state obtained after swiping up on Figure 4, which displays the "Create Report" control; Figure 6 shows the interface state obtained after clicking the "Create Report" control in Figure 5; Figure 7 shows the interface state obtained after swiping up on Figure 6; Figure 8 shows the interface state obtained after swiping up on Figure 7; Figure 9 shows the interface state obtained after swiping up on Figure 8; Figure 10 shows the interface state obtained after swiping up on Figure 9; Figure 11 shows the interface state obtained after swiping up on Figure 10.

The application provides a patent drawing processing method and device and electronic equipment, and relates to the technical field of patent retrieval. The method is applied to a server and includes: acquiring a patent drawing with a drawing mark; splitting and linearly mapping the patent drawing to obtain a patent drawing layer; inputting the patent drawing layer into a Transformer model to obtain a feature pyramid, wherein the feature pyramid includes semantic features and spatial features of the drawing mark, the semantic features are text content of the drawing mark, and the spatial features are positions of the drawing mark in the patent drawing; inputting the feature pyramid into an FPEM stacked model to output an enhanced feature map, wherein the enhanced feature map includes the semantic features and the spatial features of the drawing mark; performing feature recognition on the enhanced feature map, performing feature processing on the enhanced feature map, and obtaining a text position of the drawing mark. The application has the effect of accurately extracting features of the drawing mark.

An appearance patent picture retrieval method and system, electronic equipment and storage medium are provided, and relate to the field of model training. The method comprises the following steps: constructing a test set based on a plurality of commodity pictures and patent picture labels corresponding to each commodity picture; evaluating the retrieval performance of a plurality of preset candidate multi-modal models based on the test set, and taking the candidate multi-modal model with the best retrieval performance as a base model; performing first-stage incremental pre-training on the base model based on a first training set to obtain a pre-trained model, performing second-stage contrastive learning training on the pre-trained model based on a second training set to obtain a target retrieval model, receiving a target commodity picture to be retrieved, performing feature extraction on the target commodity picture based on the target retrieval model, and outputting a corresponding patent picture list. The technical solutions provided in the present application can improve the accuracy of appearance patent retrieval results.

1. Name of the product in this design: Graphical User Interface for Patent Intelligent Search of Electronic Devices. 2. Purpose of this design: An electronic device. 3. The key design feature of this product is its graphical user interface. 4. The picture or photo that best illustrates the key design points: Design 1 front view. 5. Design 1 is designated as the basic design. 6. Purpose of the graphical user interface: To optimize the search method for patent technical feature schemes. 7. Human-computer interaction method of graphical user interface: The main view of Design 1 is the graphical user interface presented when entering the search module. Clicking the "Heimei AI" button in the search bar of Design 1's main view will present the interface change state diagram 1. Clicking the "Search-based Optimization" button in the interface change state diagram 1 will present the interface change state diagram 2. Entering the technical features to be searched in the interface change state diagram 2 will present the interface change state diagram 3. Clicking the "blue arrow" button in the search-based optimization search box in the interface change state diagram 3 will present the interface change state diagram 4. Clicking the button in the interface change state diagram 1 will present the interface change state diagram 4. The "Application Search" button in the interface change diagram 4 presents the interface change diagram 5 of Design 1; the main view of Design 2 is the graphical user interface presented when entering the search module. When the technical features to be searched are directly entered in the search bar, the interface change diagram 1 of Design 2 is presented. In the state of the interface change diagram 1 of Design 2, "double-clicking the Ctrl button on the keyboard" presents the interface change diagram 2 of Design 2. Clicking the "Search Optimization" button in the interface change diagram 2 of Design 2 presents the interface change diagram 3 of Design 2. Clicking the "Application Search" button in the interface change diagram 3 of Design 2 presents the interface change diagram 4 of Design 2.

The invention discloses an associated patent determination method and device, equipment, a medium and a product, and the method comprises the steps: determining a patent retrieval mode corresponding to a currently browsed patent when the currently browsed patent is detected; wherein the patent retrieval mode is semantic retrieval or non-semantic retrieval; and if the patent retrieval mode is semantic retrieval, determining a target associated patent corresponding to the currently browsed patent from the retrieval database based on the target content in the currently browsed patent and the retrieval text corresponding to the currently browsed patent. The problem that in the prior art, in the patent retrieval process, the retrieval result is not accurate only based on keyword matching or simple semantic analysis is solved, the patent better conforming to the retrieval intention of the user is rapidly and accurately determined according to the currently browsed patent of the user, and therefore the patent retrieval experience effect of the user is improved.

The invention provides a technical blank space calibration and layout subject identification method based on suspected missed labeling patents, belongs to the technical field of patents, and solves the problems of technical blank misjudgment and the like caused by term diversity and indexing limitation in an existing patent analysis method. The method comprises the following steps: constructing a patent retrieval expression according to target technology description, performing retrieval, and constructing a large-field patent set; extracting high-purity seed samples from the large-field patent set, and constructing a high-purity seed set; modeling is carried out on the high-purity seed set from different technical perspectives, and a multi-dimensional behavior portrait is constructed; evaluating the to-be-evaluated patent based on the multi-dimensional behavior portrait, and generating a suspected label missing patent set; on the basis of the large-field patent set and the suspected missed labeling patent set, the technical blank area is calibrated, and a true blank and a false blank are distinguished; and identifying an underestimated layout main body and an emerging technical direction based on the large-field patent set and the suspected missed labeling patent set.

The application discloses a kind of methods for converting patent search expression into search engine query statement, comprising: obtaining the patent search expression to be processed;Utilize the pre-constructed tokenizer to parse the string corresponding to the patent search expression, obtain the multiple tokens parsed;Based on the syntax structure of patent search expression, the multiple tokens are processed into the list of standard syntax nodes;According to the list of standard syntax nodes, generate standard syntax tree;Utilize the pre-constructed, and the syntax converter matched with target search engine, convert standard syntax tree into the query statement of target search engine.Wherein, patent search expression, tokenizer is constructed based on the extensible syntax structure of pre-defined patent search expression.This application can convert patent search expression into the query statement of corresponding search engine, can be applicable to a variety of search engines, can realize patent data heterogeneous search, can adapt to different data format and data storage mode, and the adaptability and scalability are high.

The invention relates to the technical field of data processing, and discloses a universal large model-based patent retrieval type generation method, which comprises the following steps of: acquiring enterprise data, and configuring retrieval channels, an enterprise internal institution title extension word list and a technical field extension word list; calling a first model to extract the natural language retrieval demand data to obtain an initial keyword; expanding the selected query channel and the initial keyword to obtain a target channel lexicon expanded word and a target self-defined lexicon expanded word; calling a second model to generate a final keyword set; calling a query interface based on the selected query channel to obtain a retrieval rule corresponding to the query channel, and calling a third model to generate a patent retrieval formula; and executing the patent retrieval formula and formatting a retrieval result. By implementing the method and the device, the problem that all related technologies cannot meet the comprehensive requirements of low-threshold operation, high-precision matching, customized requirement adaptation and dynamic word bank updating in patent retrieval is solved.

The invention relates to the cross technical field of artificial intelligence and patent information processing, and discloses an AI intelligent patent retrieval and analysis device which comprises an analysis device body, anti-collision assemblies are arranged on the two sides of the analysis device body, and the anti-collision assemblies are used for reducing collision borne by the analysis device body and preventing the analysis device body from making hard contact with external force. A dustproof assembly is arranged on the side wall of the analysis device body, a connecting assembly is arranged on the side wall of the dustproof assembly, a retrieval and analysis system is integrated in the analysis device body, an anti-collision assembly comprises a fixing plate, and the side walls of the fixing plate are arranged on the two sides of the analysis device body. By arranging the anti-collision assembly and utilizing the synergistic effect of absorbing impact energy through the spring and dissipating impact energy through the damper, external impact is effectively buffered, continuous vibration is restrained, the overall physical protection performance of the device is enhanced, and therefore the operation stability and reliability of an internal retrieval and analysis system in a complex environment are guaranteed.

The invention discloses a construction method of a patent retrieval multi-agent system. The method comprises the steps that the patent retrieval multi-agent system is established based on a base open source model; wherein agents in the patent retrieval multi-agent system comprise a patent search agent, a deep analysis agent, a new creativity judgment agent, a retrieval report agent and a collaborative scheduling agent; then screening the various source data to generate a training corpus corresponding to each agent, and training each agent in the patent retrieval multi-agent system by using the training corpus corresponding to each agent; finally, the trained patent retrieval multi-agent system is used for processing data input by a user to generate a patent retrieval result, and through a multi-skill agent cooperation mode, text understanding, generation, reasoning and planning capabilities of a large model are applied; through database query, technical feature decomposition and comparison, new creativity judgment and comment, autonomous and accurate retrieval of patents is realized.

The invention belongs to the field of natural language processing, and provides a patent text search metering method, system and equipment based on language model enhancement, which can be used for respectively carrying out curve fitting on a semantic non-concurrent decentration array of a retrieval object and a semantic concurrent clustering center array of each text data in a retrieval database, so as to obtain a patent text search metering result. And obtaining a semantic non-union decentered curve of the retrieval object and a semantic union clustering center curve of each text data, and based on curve similarity measurement, selecting the text data with the most similar semantic non-union decentered curve as output. On the basis that the semantic expression ability of the pre-training language model is reserved, structured measurement of the semantic center relation in the text is introduced, fine matching of the semantic structure level on patent text information is achieved, and the accuracy and stability of patent retrieval and similarity analysis are remarkably improved.

The application provides a patent retrieval system and method based on dynamic weight adjustment and multi-modal semantics. The system includes an input layer for receiving a natural language query of a user, an initial technical dimension weight adjustment instruction, and a display mode selection; a semantic retrieval layer for retrieving and sorting related patents from a patent document library based on the natural language query and the technical dimension weight to form a preliminary retrieval result; a processing layer for standardizing the preliminary retrieval result; a display layer for visualizing and rendering the standardized retrieval result in a corresponding multi-modal form according to the display mode selection, receiving a real-time weight adjustment instruction of the user, and obtaining an interactive feedback of the user; and a dynamic weight adjustment module for generating an initial technical dimension weight according to the initial technical dimension weight adjustment instruction or a preset retrieval strategy corresponding to the display mode selection, and dynamically optimizing the initial technical dimension weight based on the interactive feedback.

1.The name of the design product: the same peer query block of the patent retrieval graphical user interface of electronic equipment (1). 2.The use of the design product: the design product is used for an electronic device. 3.The design points of the design product: the graphical user interface. 4.The picture or photo that best indicates the design points: design 2 front view. 5.The design for which protection is sought contains color. 6.Because the electronic device is a conventional design, the rear view, left view, right view, top view, bottom view and perspective view of designs 1 to 5 are omitted. 7.Design 2 is designated as the basic design. 8.The use of the graphical user interface: overall use: patent retrieval query and interaction; local use: query the same peer enterprise of the patentee or applicant; click the “view peer” button in any design 1-design 5 front view to jump to the corresponding information display page. 9.Other circumstances that need to be explained: this design belongs to a partial design, and the part other than the red transparent area is the partial design for which protection is sought.

The embodiment of the invention provides a patent image retrieval method, device, equipment and system based on deep learning, and the retrieval system comprises a storage module, a processing module, a feature extraction module and a calculation module. The storage module is used for storing a patent picture data set through an HDFS; a patent text data set is stored through a MongoDB; the patent picture data set comprises specification drawings in patents, and the patent text data set comprises text data except the specification drawings in the patents; the processing module is used for distributing the patent data set and the picture data set to the feature extraction module through a load balancing strategy; the feature extraction module is used for extracting a patent drawing feature vector of the patent picture data set and a patent text feature vector of the patent text data set according to an OCR algorithm, a ResNet model and an NLP technology; according to an OCR algorithm, a ResNet model and an NLP technology, extracting a text feature vector and an image feature vector of a to-be-retrieved picture uploaded by a user; and the calculation module is used for calculating the similarity between the to-be-retrieved picture and the patent in the storage module according to the patent drawing feature vector, the patent text feature vector, the text feature vector and the image feature vector. The problems of low patent retrieval efficiency and inaccurate retrieval are solved.

This application provides a multi-level text retrieval method, device, and system. The method includes: preprocessing and structured storage of patent data; processing the data using a named entity recognition model and word segmentation tools, calculating inverse document frequency and TF-IDF values ​​based on dual-source features, and fusing the statistical weights of semantically related entities and word segmentation terms to obtain preliminary statistical weights; evaluating the semantic importance of keywords using a large language model and generating semantic weights, fusing these with the preliminary statistical weights to obtain final weights; constructing a thesaurus, phrase thesaurus, and keyword thesaurus based on the final weights; constructing hierarchical indexes for each level of thesaurus; performing staged retrieval based on the hierarchical indexes, and aggregating the matching contributions of semantically similar keywords during the fine-ranking stage; outputting the ranking results and highlighting matching segments. This application integrates statistical and semantic features, and improves the accuracy, efficiency, and interpretability of patent retrieval through multi-level indexing and partitioned retrieval mechanisms.

The application belongs to the technical field of data processing, and provides a patent text structured processing and multi-hop semantic query method and system. The method comprises the following steps: obtaining a patent file to be processed, performing structured cleaning and format regularization on the patent file to be processed, generating a standardized input text, and storing the key structured information obtained by the structured cleaning into a relational database; according to the standardized input text, an entity and relationship recognition are combined with clustering and global indexing to construct a patent knowledge graph; after receiving a query question of a user, the query intention type of the user is determined, and the relational database and / or the patent knowledge graph are called according to the query intention type of the user to perform multi-hop semantic query, and a semantic query result is obtained; according to the semantic query result, an answer to the query question is generated and fed back to the user. The scheme improves the accuracy, comprehensiveness and reliability of the patent query result, and optimizes the interactive experience and query efficiency of the patent retrieval.