214 results about "Search function" patented technology

The present disclosure relates to systems, non-transitory computer-readable media, and methods for capturing snapshots of digital content displayed on a client device and searching through the captured content. The disclosed systems provide a search function for effectively traveling back in time to identify digital content previously displayed on a client device. The disclosed systems provide options for capturing snapshots of content displayed on a display screen, extracting data from the snapshots, and storing the snapshots for use when populating search results. The disclosed systems utilize machine learning models to extract text and / or to generate text versions of snapshots including extracted text, descriptions of images, transcripts of videos, and / or textual summaries from displayed documents or webpages. In response to a search query, the disclosed systems can produce search results that include digital videos including captured snapshots of content displayed by a client device over time.

In various examples, systems and methods are disclosed relating to displaying images in chatbot / NPC / virtual agent / digital avatar / etc. responses. A system can identify text corresponding to an image in an electronic document and can store a representation of the text in association with an identifier of the image. The system can receive an input prompt for a machine-learning model. The system can generate a response to the input prompt using the machine-learning model. The response can include the image responsive to identifying the representation of the text using a searching function and an output of the machine-learning model.

The invention discloses a hybrid heterogeneous cloud workflow scheduling method based on reinforcement learning, and belongs to the technical field of cloud computing. The method comprises the following steps: aiming at a cloud workflow scheduling problem, by taking minimization of completion time as a target and taking cost and resources as constraints, a three-dimensional collaborative constraint model is constructed, and the cost constraints comprise server-free function budget and virtual machine budget; integrating the hyper-heuristic framework into a reinforcement learning algorithm; an improved reinforcement learning algorithm is adopted to solve the cloud workflow scheduling problem, optimal execution resources are selected, and an optimal scheduling scheme is obtained; and performing real-time scheduling according to the optimal scheduling scheme, and introducing a deviation feedback mechanism to monitor an execution error in real time. According to the method, the workflow scheduling problem is decomposed into a closed-loop optimization process of state perception and action decision, dynamic environment perception, multi-target tradeoff and online strategy optimization are deeply fused, the global search function is achieved, local optimization can be achieved, the algorithm complexity is low, and robustness is high.

Systems and methods are provided for implementing deep search functionality using large language models (“LLMs”). In various examples, a computing system uses at least one LLM to generate intents based on a user query, to generate alternative queries based on a selected or identified primary intent, and to generate a relevance score for each search result that is obtained from a search utility (e.g., an Internet search engine, a file storage search utility, an email search utility, or a document storage search utility) in response to a primary query (corresponding to the primary intent) and the generated alternative queries being entered into the search utility. The search results from the search utility are sorted based on the corresponding generated relevance scores, and the sorted search results are caused to be displayed to the user as a deep search response to the user query.

A social media platform provides a map-based graphical user interface (GUI) for accessing social media content submitted for public accessibility via the social media platform supported by the map-based GUI. The GUI includes a map providing interactive location-based searching functionality in that selection of a target location by the user in the GUI, such as by tapping or clicking at the target location, triggers a search for social media content having geo-tag data indicating geographic locations within a geographical search area centered on the target location. A search period for which content is returned is dynamically variable based on the duration for which the tap or click is held.

A computer-implemented method for computational textual search to find and display search identified information in documents. Search queries are processed over one or more documents either at a server or user device using match schemes that produce both binary (match or no match) and non-binary (i.e. multiple matching values) results and have relative fuzziness relationships. A fuzzier match scheme implies more results and fewer false negatives and a less fuzzy match scheme implies fewer results and fewer false positives. This fuzziness relationship allows, without changing a search string, for users to quickly change from a match scheme to a fuzzier or less fuzzy match scheme depending on user evaluation of results as containing too many false negatives or too many false positives—without becoming a programmer of complex search string metadata or an expert user of advanced search capabilities.

The invention provides a natural scene ship target detection method and system, and the method comprises the steps: firstly obtaining a ship detection data set, a COCO data set and a plurality of to-be-detected natural scene pictures, and inputting the plurality of to-be-detected natural scene pictures into a YOLOv5x network model trained based on the ship detection data set, inputting the plurality of natural scene pictures containing the ships into a DINO target detection model trained based on a COCO data set to obtain a first target detection result of all the ships in each natural scene picture, and cutting out a cutting area containing the ships according to the first target detection result of each ship; calculating an included angle between a connecting line of the two contour points and the horizontal direction by adopting a contour searching function, a rotation matrix function and an affine transformation function, and rotating according to the calculated included angle to obtain a cutting area after ship direction correction; and finally, inputting the cutting area after ship direction correction into the trained YOLOv5nano network model for verification so as to complete ship target detection of a natural scene.

The invention discloses a content query method and device, electronic equipment and a computer readable medium. The method comprises the steps that to-be-queried content is acquired; in business data of at least one target business accessed to the search platform, business data matched with the to-be-queried content is searched based on a keyword search mode and a semantic search mode, and a first search result corresponding to the keyword search mode and a second search result corresponding to the semantic search mode are obtained; fusing the first search result and the second search result to obtain a fusion result; and obtaining a target query result corresponding to the to-be-queried content based on the fusion result. Therefore, access operations of different services can be realized through the search platform, so that the different services can use the search platform to realize a search function, and each access service can obtain the same search experience; in addition, the query result of the to-be-queried content is obtained in combination with keyword search and semantic search modes, and the search accuracy of the query result can be improved.

Computerized systems and methods are described for enhancing search capabilities and user engagement within technology distribution platforms. The system integrates components including Real-Time Data Mesh, Single Pane of Glass User Interface, Advanced Analytics and Machine-Learning Module, and Relevancy Search Engine Module, Embodiments aggregate real-time data from multiple sources, standardize it for efficient processing, and utilize advanced analytics and machine learning models to optimize search results. A Relevancy Search Engine prioritizes search results based on relevancy scores using machine learning models and natural language processing. A Dynamic SKU Search Engine enables dynamic and responsive search functionalities personalized to user needs. A Personalization Engine provides personalized recommendations based on user profiles and interactions. A Real-Time Relevancy Adjustment Module ensures continuous optimization of search relevancy. Methods include initiating enhancement processes, analyzing search queries, processing data, and adjusting relevancy in real-time. Impact is measured using performance indicators.

The invention discloses a hybrid encryption method supporting access control and controllable data search, and relates to the field of secure data sharing. According to the method, a CP-ABE (Ciphertext Policy Attribute Based Encryption) technology and a symmetric searchable Encryption (SSE) technology are creatively combined, and a data authorization access function and a data controllable search function are integrated. As for data authorization access, CP-ABE is dominated, fine-grained access control is achieved by embedding attribute information, and it is ensured that only authorized users conforming to a preset strategy can decrypt data. For data controllable search, SSE is dominated, a data storage service provider is allowed to execute a search task based on keywords on the premise of not decrypting data, and expansion of fuzzy keyword search is supported in combination with a trusted execution environment technology. According to the method, the problems that user access is not limited and data sharing is easy to leak to an untrusted party are effectively solved. Through strict user right control, unauthorized access is prevented. And meanwhile, the targeted search of the shared data is realized, and bidirectional requirements are met.

A server receives and rebroadcasts live streaming video content from a video capture device, such as a mobile phone or unmanned surveillance vehicle. The server includes a media server configured to stream selected video content to a client device, a video analysis system configured to analyze the live video content and generate object detection data, a storage system configured to store the generated object detection data and an identifier of the associated live video content, and a search engine configured to receive a text-based search request, search the object detection data stored in the storage system for relevant search results, and generate a list of live and stored video content associated with the relevant search results.

Aspects described herein may provide an interface and / or search functionality for a dealership to determine vehicles a customer is most likely to purchase. A recommender system may generate vehicle recommendations for a dealership to sell to a customer based on customer information, vehicle information, and dealership information. Machine learning may be used to generate the recommendations. The recommendations may be based on the vehicle preferences of a customer.

The invention provides a knowledge and text bidirectional alignment medical text representation enhancement method, which comprises the following steps of: constructing a text sequence X; constructing a medical knowledge graph subgraph Gx; embedding the entity into a lookup function; executing a text representation calculation instruction according to the text sequence X to obtain a text representation sequence Hx; the text representation sequence Hx is a sequence fused with text context and explicit entity information; executing a knowledge graph representation calculation instruction to obtain a structure perception representation sequence HE; executing a knowledge and text bidirectional attention calculation instruction according to the text representation sequence Hx and the structure perception representation sequence HE to obtain bidirectional attention weight matrixes A and B; according to the bidirectional attention weight matrix A and the bidirectional attention weight matrix B, executing an attention weighted fusion and enhancement instruction to obtain an enhanced text representation Henhanced; the technical problem of insufficient fusion of text information and external medical knowledge base information is solved.

Devices, systems, and methods for tokenizing search attributes and terms of a search query for an index-based search. A method may include receiving, by a search service of a provider network, a first search query to search a first searchable document set, the first search query including a first search term in a first language; applying a first tokenization rule to identify the first search term in the first search query; determining that the first search term is in the first language; applying a second tokenization rule to tokenize the first search term based on the first search term being in the first language; causing a launch of a search instance by a managed compute service of the provider network, the search instance to execute a search function for a keyword-based text search using the tokenized first search term.

The invention provides a search result recommendation method and equipment, which are used for improving the search performance of electronic equipment and improving the use experience of a user on a search function of the electronic equipment. According to the method, the electronic equipment detects and responds to a search instruction of a user, and a search word can be obtained; the electronic equipment can obtain at least one piece of equipment use information; based on the obtained search term and the equipment use information, the electronic equipment can provide a search result matched with the equipment use information of the electronic equipment, and the provided search result can be obtained after screening and / or sorting. Therefore, the search result provided by the electronic equipment can fit the use habit of the user or can be matched with the use state of the electronic equipment, so that the use experience of the user can be improved.

The invention provides a CT high-voltage power supply remote diagnosis data fine-grained access encryption method and system, and relates to the technical field of medical data processing. The method supports a ciphertext forward search function, so that the search token can only be used for searching the ciphertext generated before the generation time of the search token, and the problem of unauthorized search of the cloud server is effectively solved; an intersection search function of a keyword-free domain is supported, flexible multi-keyword fuzzy search is realized, and the practicability and fault tolerance of the system are improved; and an outsourcing pre-decryption function is supported, and a data user can complete correctness verification of outsourcing pre-decryption without downloading a complete partial decryption ciphertext, so that the calculation and communication overhead of the data user is effectively reduced.

In some aspects, search functionality is provided in an observability pipeline system. A search query is received at a computer node from a leader role of an observability pipeline system. The search query represents a request to search event data and includes a first search operator that specifies a system state context criterion associated with hardware on the computer node, and a second search operator that specifies an event criterion. An observability pipeline process is configured according to the search query. Search results are generated by applying the observability pipeline process, which includes determining if a current system state of the hardware matches the system state context criterion. In response to the determination, a subset of event data on the computer node that matches the event criterion is identified by searching the event data. The search results, which include the subset of event data, are sent to the leader role.

The invention discloses a multi-mode large model-based video picture search split-screen interaction method and a terminal, and belongs to the technical field of intelligent terminal video interaction, and the method comprises the following steps: when a question search function is triggered and started, controlling to obtain a question search instruction, and simultaneously controlling to intercept video picture information of a front and back predetermined frame when the question search function is triggered and started; identifying the question search instruction, and identifying the intention of a user to search for video picture information; performing element identification on the intercepted predetermined frame of video picture information through a multi-mode large model, and finding out elements matched with the intention of a user to search for the video picture information; according to the found elements matched with the intention of the user and the identified intention of the user for searching the video picture information, automatically searching a search result through a multi-mode large model; and displaying through a preset split-screen interaction interface. According to the method and the device, a video picture can be deeply understood, generation type dialogue interaction can be performed on a user, and convenience is provided for use of the user.

According to the compound structure cross-modal search method and system provided by the invention, the compound structure data in a text form or a picture form is vectorized based on the CLIP model so as to be mapped to the same semantic space, and cross-modal search of the compound structure can be realized by searching the preset compound vector database. The compound vector database realizes an efficient cross-modal search function by constructing a joint index and a cross-modal similarity search algorithm. The joint index can support storage and retrieval of image and text vectors at the same time, and the search speed and efficiency are improved. The cross-modal similarity search algorithm can comprehensively consider the similarity of the image and the text information, and improves the search accuracy. By constructing fragmented storage of vectors, the function of distributed storage of vector data is realized, the storage and retrieval problems caused by later data volume increase can be flexibly solved, and the expandability of the system is enhanced.

The invention discloses an RAG document splitting optimization method and system in the operator field, and belongs to the technical field of large model optimizing.The method comprises the steps that a document is uploaded, and source files and file information are stored through minio and paradeDB respectively; constructing a document loader, automatically selecting a corresponding loader according to a file type to carry out file processing, converting the file into a uniform Markdown text, analyzing a picture in the document, and converting the picture into a base64 format; constructing a picture processor, extracting a picture base64 character string in the text, processing a bitmap and a vector diagram, and converting the bitmap and the vector diagram into a Markdown picture reference format; constructing a document divider; vector conversion; and recalling the text. According to the method, the problem that picture extraction, conversion and processing are complex in the current RAG is solved, vector retrieval, full-text retrieval and mixed retrieval functions can be achieved through one database, and the operation and maintenance cost is reduced.

The invention provides a formula editor implementation method based on a knowledge graph. According to the method, a formula editor is realized on the basis of the knowledge graph, operation is simplified through a semantic node relationship, a user can configure a formula only through scenario node selection without professional programming knowledge, and a use threshold is reduced by combining double strategies of dynamic sorting (association strength + use frequency) and fixed classification sorting and cooperating with a real-time search function; logic errors are verified in real time, and accuracy and configuration efficiency are improved by means of an AST disassembling formula structure and in combination with a formula library reuse function; business logic is dynamically defined, new functions do not need to modify codes, expansion can be achieved only by updating knowledge graph data, upgrading iteration is simplified, and maintenance cost is reduced; metadata accurately matches an editing scene, a front end displays a domain concept in real time, deep fusion of a business scene and formula editing is realized, logic deviation is avoided, and a reliable data basis is provided for decision making.

The application relates to the computer field and discloses a message pushing system and method, the message pushing system comprising a search server and an advanced search module, the search server comprising a search database for storing messages to be advanced searched; the advanced search module acquires a search request sent by a user end and generates a search instruction based on the search request and sends the search instruction to the search server; the search server searches the messages to be advanced searched in the search database based on the search instruction and returns target messages obtained by searching to the user end based on the advanced search module. Since the advanced search module and the search server are newly added for data storage and query management of the messages to be advanced searched, the message pushing function and the advanced search function are completely separated and decoupled, the advanced search service is provided for the user end independently under the premise of guaranteeing the message pushing function, the service can be provided on the basis of no user perception, and the use experience of the user is improved.

A system and method for providing governed search capabilities using generative artificial intelligence (AI) and large language learning models to permit users to parse and search through and to generate detailed content from both structured and unstructured datasets.

Structured data comprising primary data is transformed into object-based data comprising the primary data and at least one search function. The object-based data when loaded into memory provides the search function as executable instructions for an object instance. When an application calls the object instance with search terms as input, the search terms are located within the primary data (which is loaded into memory) by the search function, and the object instance returns corresponding field values from the primary data associated with the search terms to the application.

The embodiment of the invention provides a special-price air ticket searching method and a computer program. The special-price air ticket searching method comprises the following steps: detecting an operation of triggering a special-price air ticket searching function by a user; in response to the operation, a special-price air ticket search page is displayed, and the special-price air ticket search page comprises a first display form and a second display form; wherein the special-price air ticket search page in the first display form is provided with an AI question input box, and the AI question input box is used for sending a search question aiming at a special-price air ticket to the AI by a user; the special-price air ticket search page in the second display form is provided with input items of a plurality of search fields, and the input items are used for the user to input search conditions of the special-price air ticket. According to the embodiment of the invention, the special-price air ticket search page has two display forms, the intelligent and efficient search requirements of the user on the special-price air ticket can be met, the intelligent level of the travel service platform is improved, and the user experience is improved.

The invention discloses a vehicle charging station information display method, device and equipment and a storage medium, and the method comprises the steps: responding to an operation on a map display interface, calling a singleton tool class used for executing various map search functions, and searching for charging station information of which the distance to a destination is within a preset distance range; determining the number of data in a pre-created enumeration array based on the number of the searched charging station information; under the condition that the number of the data in the enumeration array is not zero, displaying a charging station information list corresponding to one or more charging stations in a first area in a map display interface; and in response to a selection operation for target charging station information in the charging station information list, displaying information associated with the target charging station information in a second area in the map display interface. By adopting the method, wrong display can be reduced in the process of displaying the information of the charging station.

Systems and methods can be implemented to conduct a visual search as a service in a variety of applications. In various embodiments, a system is configured to provide searching capabilities of content provided by a first entity in response to a search request by a second entity. An image provided by the second entity can be used by the system as a query image to search the content of the first entity. In an embodiment, the first entity can be a commercial entity providing such a system with image related content regarding its products and services such that any number of individual consumers can search for particular products and services of the commercial entity via their communication enabled devices. In addition, such systems can be arranged for other embodiments to provide customized searches of a single source by many individual devices. Additional systems and methods are disclosed.

In response to receiving a user request to perform a data interaction, a search function is generated that is configured to search a database and extract data related to a user query included in the user request. The search function is run in the database to extract the data related to the user query. A navigation map is generated to perform the data interaction, wherein the navigation map comprises a sequence of webpages and information relating to one or more operations that are to be performed at each of the webpages as part of performing the data interaction.

The embodiment of the invention discloses a search method and device, electronic equipment and a computer readable storage medium, and the method comprises the steps: starting a search function in response to a starting action; after the search function is started, detecting a first target operation on a first page; obtaining first content on the first page corresponding to the first target operation; and searching the first content to obtain a search result. Therefore, the scheme can realize quick search.