160 results about "Search interface" patented technology

Visual search in an operating system of a computing device can process and provide additional information on the content being provided for display. The computing device can include an operating system that includes a visual search interface that obtains and processes display data associated with content currently being provided for display. The visual search interface can generate display data based on the current content provided for display, process the display data with one or more on-device machine-learned models, and provide additional information to the user. The visual search interface may transmit data associated with the display data to perform additional data processing tasks. Application suggestions may be determined and provided based on the visual search data.

Embodiments of the present invention provide systems, methods, and computer storage media for a visual and text search interface used to navigate a video transcript. In an example embodiment, a freeform text query triggers a visual search for frames of a loaded video that match the freeform text query (e.g., frame embeddings that match a corresponding embedding of the freeform query), and triggers a text search for matching words from a corresponding transcript or from tags of detected features from the loaded video. Visual search results are displayed (e.g., in a row of tiles that can be scrolled to the left and right), and textual search results are displayed (e.g., in a row of tiles that can be scrolled up and down). Selecting (e.g., clicking or tapping on) a search result tile navigates a transcript interface to a corresponding portion of the transcript.

Systems, methods and interfaces are provided for processing natural language queries. A machine learning-powered search interface may process complex natural language queries across specialized domains. The method may utilize a transformer-based natural language processing model that analyzes user intent by examining both current and historical user inputs. A graph data structure may be used to represent interconnected domains like patient records, insurance claims, and business metrics enables dynamic information retrieval. The system may use an A* search algorithm to navigate domain nodes and identify relevant answers. An abbreviation expansion mechanism resolves technical shorthand by referencing domain-specific mapping databases, ensuring precise interpretation of user queries. The method may identify keywords, traces optimal answer pathways, and adapt by updating graph relationships and abbreviation mappings. By generating contextually rich natural language summaries, the system delivers precise, comprehensive responses through an intuitive search interface.

A query building tool receives user input of a natural language query by way of a search interface and decomposes the natural language query into sections. The tool prompts a large language model to, for each section, search a portion of a grammar of a query language having a corresponding query type for each section and construct a query language prompt corresponding to the section. The tool aggregates each query language prompt into an aggregated query language prompt, executes a search using the aggregated query language prompt, and outputs for display using the search interface search results for the natural language query.

Techniques for a natural language interface for searching and retrieval of digitally-stored information are disclosed. In one embodiment, a computerized method is disclosed comprising receiving, at a computing device, natural language input from a user; generating, by the computing device, a prompt using the natural language input; submitting, by the computing device, the prompt to a large language model (LLM); receiving, by the computing device, from the LLM, a response to the submitted prompt, the response comprising a logical expression of the natural language input generated by the LLM using the prompt; generating, by the computing device, for a data source, a query using the logical expression; retrieving, by the computing device, a query result set from the data source using the query; and generating, by the computing device, a response to the natural language input using the query result set.

An online system provides a search interface for a user to identify items. The search interface may present suggested search queries to the user, allowing the user to select a suggested search query rather than manually entering search terms to form a search query. To identify search queries most likely to be selected by the user, the online system gets a set of candidate search queries and generates a relevance score for each candidate search query by applying a trained query relevance model to each candidate search query. The scored candidate search queries are selected and ranked using the relevance scores, and the selected candidate search queries are displayed using the ranking in the search interface. The query relevance model is a transformer-based small language model receiving a user sequence of prior search queries and items with which the user interacted and the candidate search terms as input.

The invention discloses a product recommendation method and device, computer equipment and a storage medium, belongs to the technical field of artificial intelligence, and is used for determining recommended customers adapted to insurance products. Firstly, an advanced natural language processing model is utilized to accurately analyze a user intention, and key semantic information is extracted; secondly, user requirements are accurately mapped to specific industries and business scenes through semantic mapping rules; newest market data and policy information are obtained in real time through a networking search interface, and timeliness and comprehensiveness of the data are guaranteed. Based on a preset report template, the system automatically integrates the upstream and downstream structures and policy dynamics of the industrial chain, and generates a structured and visual market insight report. And finally, extracting high-value customers meeting business requirements from the report through a customer portrait matching algorithm, and forming an accurate recommendation customer set in combination with multi-dimensional feature evaluation. According to the invention, precise product recommendation and high-value customer mining based on natural language input of the user are realized.

Embodiments described herein relate to systems and methods for generating and displaying content for an entity card interface of a collaboration platform. The entity card interface may be displayed in response to a natural language input or inquiry of a search interface or the entity card interface may also be displayed in response to a user selection of text or a designated object within user-generated content of an editor. The systems and methods described use a network architecture that includes a prompt generation service and a set of one or more purpose-configured large language model instances (LLMs) and / or other trained classifiers or natural language processors used to provide generative responses for content collaboration platforms.

Systems and methods are disclosed herein for receiving, based on user interaction with a user interface, a user input of a natural language search query for identifying a cybersecurity threat by way of a search interface, the natural language search query requesting a specialized search of a threat database. An application generates a search vocabulary based on the natural language search query. The application performs a query lookup using the threat database, the query lookup returning a plurality of files that at least partially match the search query. The application prompts a large language model to generate an answer to the natural language search query using the plurality of files that at least partially match the search query, and outputs for display the answer using the user interface.

Embodiments described herein relate to systems and methods for generating and displaying content for an entity card interface of a collaboration platform. The entity card interface may be displayed in response to a natural language input or inquiry of a search interface or the entity card interface may also be displayed in response to a user selection of text or a designated object within user-generated content of an editor. The systems and methods described use a network architecture that includes a prompt generation service and a set of one or more purpose-configured large language model instances (LLMs) and / or other trained classifiers or natural language processors used to provide generative responses for content collaboration platforms.

In embodiments of field value search drill down, a search system exposes a search interface that displays one or more events returned as a search result set. A field-value pair can be emphasized in the field-value pairs of an event displayed in the search interface, and a menu is displayed with search options that are selectable to operate on the emphasized field-value pair of the event. The menu includes the search options to add search criteria of the emphasized field-value pair to a search command in a search bar of the search interface, exclude the search criteria of the emphasized field-value pair from a search, or create a new data search based on the emphasized field-value pair. A selection of one of the search options in the menu can be received, and the search command in the search bar is updated based on the search option that is selected.

This invention provides an e-book lending management system based on OPAC bidirectional linkage, belonging to the field of library information technology. It includes: a hardware acceleration layer that constructs a dynamic resource distribution matrix and calculates the matrix norm in real time using an FPGA coprocessor, combined with an ASIC anti-collision controller to implement request queue scanning every 100ms and a redundant copy generation algorithm; a system service layer that deploys a dynamic priority scheduling engine, achieving intelligent resource allocation based on cross-campus collaboration coefficients and edge-cloud collaboration strategies, while recording borrowing operations and performing automated copyright revenue sharing audits through blockchain notarization services; and a user interaction layer that provides a bidirectional association search interface and a priority borrowing channel based on credit scoring. The system improves resource scheduling efficiency in high-concurrency scenarios through hardware-accelerated matrix norm calculation, an elastic copy allocation mechanism, and an anti-collision algorithm embedded in ASICs. Combined with geolocation scoring and blockchain technology, it achieves cross-campus resource collaboration and accurate allocation of copyright revenue.

A search interface is displayed in a table format that includes a plurality of columns, each column including data items of an event attribute, the data items being of a set of events, each column being selectable by a user, and a plurality of rows forming cells with the one or more columns, each cell comprising one or more of the data items of the event attribute of a corresponding column. Based on the user selecting one or more of the columns, a list of options is displayed corresponding to the selected one or more columns, and one or more commands are added to a search query that corresponds to the set of events. The one or more commands are based on at least an option that is selected from the list of options and the event attribute of each of the selected one or more columns.

This invention relates to the field of feature analysis, and more particularly to a rating feature classification method for a technology enterprise rating model. The invention sets a search target, obtains several search interfaces associated with the search target, performs visual analysis on the search interfaces, and determines visual clustering regions based on the relative positions of target features. It calculates the correlation parameters between target features and the search target, sets classification labels for each visual clustering region, and performs adaptive selection analysis on target features within the visual clustering regions based on the labels. This includes selecting and removing target features from ambiguous areas of the search target, retaining features with high correlation to the search target, or removing all target features from the visual clustering regions. Subsequently, the retained target features are transmitted to a preset language rating model. This invention can effectively reduce irrelevant features in web pages, improve the efficiency and accuracy of feature extraction from web pages, and ensure the accuracy of feedback from the language rating model.

1. The name of the design product: geographical position search graphical user interface of electronic equipment. 2. The use of the design product: for an electronic equipment. 3. The design points of the design product: the interface content and layout of the graphical user interface. 4. The picture or photo that best indicates the design points: interface change state diagram. 5. The use of the graphical user interface: the interface is the geographical position search interface of the multimodal transport path planning decision engine platform software, the main view is the main interface of the software, after inputting "Wenchang Street, Harbin City" in the search bar on the upper left side of the main view and clicking the "magnifying glass" button, the interface change state diagram is entered, the interface is displayed in a three-dimensional mode, so that the user can intuitively understand the geographical information. 6. Other circumstances that need to be explained: the map content in the interface is only for display and is not within the protection scope of the design.

The invention relates to the field of computers, in particular to a recommendation word determination method and device. The method comprises the steps of obtaining a first text; determining a candidate word set according to the first text; the candidate word set comprises at least one text associated with the semantic feature of the first text; searching n preset texts contained in a commodity knowledge base from the candidate word set; wherein the commodity knowledge base comprises a plurality of preset texts, and the plurality of preset texts are respectively used for describing attributes of commodities in the preset commodity base; a first corresponding relation between the first text and the n preset texts is established, and the first corresponding relation is used for indicating that the n preset texts serve as recommendation words corresponding to the first text when the first text is input into the search interface.

In accordance with the present disclosure, one or more computing devices and / or methods are provided. In an example, a query may be received from a client device. In response to the query, a set of search results corresponding to a set of internet resources associated with the query may be generated. The set of search results may include a first search result corresponding to a first internet resource of the set of internet resources. A first popularity score associated with a first search result of the set of search results may be determined based upon one or more first user engagement metrics associated with the first internet resource. A search interface may be displayed on the client device. The search interface may include a first representation of the first search result and a first graphical popularity indicator indicative of the first popularity score.

An image search device includes at least one processor and at least one memory storing instructions, where, by executing instructions stored on the at least one memory, the at least one processor is configured to: receive a plurality of images and a plurality of metadata from a plurality of camera devices through a communication interface; receive an object search command and a property search command inputted by a user; extract objects corresponding to the object search command based on the plurality of metadata, and extract properties of the extracted objects; generate a search interface including a property search menu which displays a list of the extracted properties for selection through the property search command; and display the generated search interface, where, based on the object search command being changed, the properties displayed in the property search menu are changed in the search interface according to the changed object search command.

The invention discloses an automatic part processing method based on CATIA and Excel. The method comprises the steps that a target part list is determined; a VBA program is utilized in Excel, part identifiers in the list are converted into combined search character strings capable of being recognized by CATIA, and special characters are automatically processed in the process; opening a general assembly in the CATIA, entering an advanced search interface, and importing the combined search character string; searching is executed to select 3D digital models corresponding to all target parts in batches at a time; and carrying out subsequent batch processing operation on the selected part set, wherein the subsequent batch processing operation comprises batch activation, color change, subset copying and creating or exporting. According to the method, whole-process automation from the list to three-dimensional model batch processing is achieved, manual operation of several hours is shortened to several minutes, the accuracy rate is 100%, the design efficiency and the data quality are greatly improved, and meanwhile based on a universal software platform, the implementation cost is low.

The application discloses an improved e-commerce platform product search tool, and relates to the technical field of electronic commerce and Internet information processing. The search tool comprises: a search box for receiving user input or selected search words and displaying matching products in response to a search trigger; and a search package configured to contain at least two selectable product recommendation parameter options and to be selected by the user, wherein the search package comprises at least one search key trigger. In response to the user selecting at least one of the recommendation parameter options and triggering the search key, the search package generates a configuration instruction carrying the selected product recommendation parameter value, the system stores the search words and the configuration instruction in a recommendation parameter database, and the product recommendation parameter value is provided to a recommendation engine to constrain the generation logic of the recommendation engine in subsequent recommendation processes. The application realizes instant technical mapping of user intention from the search interface to the recommendation system by placing the recommendation strategy selection right in the search interaction interface, solves the problem of mutual separation of data processing of the search module and the recommendation engine in the prior art, and effectively protects user privacy and improves recommendation accuracy.

The application provides a location-based search processing method, device and equipment and a storage medium. The method comprises the following steps: in response to a location search request of a user, inputting search information into a preset multi-task search model; simultaneously processing the search information based on a city jump decision task and a search suggestion task in the multi-task search model to obtain target city location features corresponding to the city jump decision task and search suggestion features corresponding to the search suggestion task; obtaining a search processing result based on the target city location features and the search suggestion features; obtaining a search suggestion list with the highest matching degree with the search processing result in a preset search suggestion library, and displaying the search suggestion list on a search interface. Through the above method, the training and development and maintenance costs of multiple models can be effectively reduced.

This invention provides a system, method, and terminal for intelligent processing and analysis of medical literature based on a large-scale model. First, the system obtains the user's query request through a user search interface. Then, it invokes the large-scale model to identify the user's intent, extract relevant biological entities, and generate corresponding logical chain instructions. Based on the extracted biological entities, it matches background information of relevant entities in a pre-constructed biological entity database. Finally, it matches the logical chain instructions against a knowledge graph database of literature abstracts to obtain a relevance ranking of the literature. Finally, it integrates the logical chain instructions, biological entity background information, and relevant literature information to generate and display the corresponding query results. This invention solves the problems faced by medical researchers, such as cumbersome literature acquisition, time-consuming reading, and complex analysis. By employing a large-scale model-based method for intelligent literature processing and analysis, it accelerates the literature reading process, reduces manual analysis costs, and improves research efficiency.

Systems, methods and interfaces are provided for processing natural language queries. A machine learning-powered search interface may process complex natural language queries across specialized domains. The method may utilize a transformer-based natural language processing model that analyzes user intent by examining both current and historical user inputs. A graph data structure may be used to represent interconnected domains like patient records, insurance claims, and business metrics enables dynamic information retrieval. The system may use an A* search algorithm to navigate domain nodes and identify relevant answers. An abbreviation expansion mechanism resolves technical shorthand by referencing domain-specific mapping databases, ensuring precise interpretation of user queries. The method may identify keywords, traces optimal answer pathways, and adapt by updating graph relationships and abbreviation mappings. By generating contextually rich natural language summaries, the system delivers precise, comprehensive responses through an intuitive search interface.

1. The name of the design product: graphical user interface with insurance metadata map management and utilization for electronic device. 2. The use of the design product: for electronic device display interface information. 3. The design points of the design product: in the interface. 4. The picture or photo that best shows the design points: front view. 5. The use of the graphical user interface: for insurance metadata map management and utilization. 6. Other circumstances that need to be explained: the front view presents an insurance metadata search interface, the middle area of the front view is a search box, and the bottom area is a statistical column of data map; entering or filtering related terms in the search box in the middle area of the front view obtains state diagram 1 of interface change; confirming the search in state diagram 1 of interface change obtains state diagram 2 of interface change, which displays a plurality of card-type links of search results; hovering the pointer over any card-type link in state diagram 2 of interface change obtains state diagram 3 of interface change, in which the selected card-type link is suspended; clicking the target card-type link in state diagram 3 of interface change obtains state diagram 4 of interface change; the middle area of state diagram 4 of interface change displays two columns of “execution record” and “blood information” of the insurance metadata map; clicking the “blood information” column obtains state diagram 5 of interface change; state diagram 5 of interface change presents a plurality of related nodes of the insurance metadata map, and clicking any node displays the information of the related node, which obtains state diagram 6 of interface change.

The present invention discloses an accurate search method and system for massive Internet data based on AI technology, which relates to the field of Internet technology. It includes receiving a query text input by a user, and using natural language processing technology to identify the input query text to generate a structured query vector; based on the structured query vector, constructing a knowledge graph to obtain a rich semantic context graph; introducing knowledge transfer learning technology to analyze the user's historical search data and behavioral characteristics to construct a personalized search model; monitoring the user's real-time interaction behavior, judging the user's cognitive load, and generating an adaptive search interface; using the personalized search model to initiate multiple query requests, and after filtering and sorting, outputting a personalized search result set. By constructing a knowledge graph and generating a rich semantic context graph, the system of the present invention can identify entities and their multiple relationships, thereby providing more relevant search results and promoting users to discover potential needs.

The invention relates to a promotion method and device based on search, equipment, a storage medium and a computer program product. The method comprises the steps of displaying reply information output for input information and at least one piece of promotion information in a search interface in response to submission operation of a search object on the input information; in response to a trigger operation on any target promotion information, displaying a payment mode selection interface, the payment mode selection interface including a plurality of payment mode options and payment mode recommendation information; and in response to a trigger operation on any payment mode option, initiating payment according to the payment mode corresponding to the selected payment mode option. According to the method, payment mode recommendation and payment mode options are carried out in combination with the consumption characteristic data and the expenditure data of the search object in the search-based promotion process, so that one-stop service of search, promotion, shopping and budget management is realized; and the splitting experience and the tedious operation that the search object sees the interested product to switch back and forth among a plurality of platforms during search are avoided.

Methods, systems, and computer storage media for processing search queries using item-based search refinement are provided. In response to a search query, search result items are displayed on a search interface. The search result items each have an associated item-specific control having embedded selectable hierarchical category classifications. Upon selecting an item-specific control, the item-specific control is displayed. A selection of an embedded hierarchical category classification is received to cause execution of an embedded-item search operation. An embedded-item search operation is executed to identify a subset of the items using the selected hierarchical category classification. The associated item-specific control further has embedded selectable attributes. A selection of an embedded attribute is further received to cause execution of the embedded-item search operation. The embedded-item search operation is executed to identify a subset of the items using the selected hierarchical category classification and the selected attribute.

The invention provides a search method and device, computer equipment and a storage medium, and belongs to the technical field of computers. The method comprises the steps that in an intelligent agent-based search interface, an application list is displayed, the application list comprises a plurality of target applications, the target applications are respectively from first equipment and second equipment under the same account number, and intelligent agents run on the first equipment and the second equipment; and in response to a search operation for a target search term, displaying search results obtained by the intelligent agent in the plurality of target applications based on the target search term in the search interface. According to the technical scheme, the data in the multiple applications on the multiple devices can be searched through the intelligent agent, the search results of the multiple applications on the multiple devices are displayed to the user at a time, the user does not need to frequently switch between the multiple devices and the applications for searching, and the search efficiency can be improved.

A system can publish specified webpages to a publicly accessible external hierarchy and provide a search interface to those pages that includes an AI tool. The AI tool provides responses to natural language search queries and generates responses by parsing only the information published to the external hierarchy, thereby avoiding the inclusion of extraneous or private information in its responses. The speed of the AI tool's responses is also improved by limiting the scope of information it parses before generating a response.