287 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.

An Artificial Intelligence (AI) & Generative AI-driven cross-domain document analysis system enables accurate and consistent narratives across a longitudinal timeline for an entity regarding communications in different operational aspects. The document analysis and insight system includes an Artificial Intelligence (AI) powered Search Interface (AIPS) and an Advanced Intelligent Knowledge Engine (AIKE). The AIPS is configured to pre-process documents from structured and unstructured data sources to generate data taxonomies and custom synonym files. The AIKE generates a preliminary evaluation of the various Large Language Models (LLMs) and uses the data taxonomies and custom synonym files to generate prompts that are configured to address limitations of the various LLMs to obtain accurate replies to user requirements.

An agent-based website search interface utilizes a multimodal model to enhance enterprise operations. Data agents collect and process diverse inputs, while an orchestrator manages these agents. The system leverages machine learning models to generate insights and automate decision-making processes. It includes tools for data visualization and validation, ensuring accuracy and reliability. By integrating generative AI, the interface provides advanced search functionalities, improving user experience and operational efficiency. This facilitates seamless interaction to answer context specific questions from complex data, offering a robust solution for enterprise-level search and analysis.

According to one aspect, a computing system is provided that includes processing circuitry configured to receive input data from multiple interaction modalities of a user, generate a multi-interaction-modality user interaction history from the input data, and extract memories from the multi-interaction-modality user interaction history using a trained memory-extracting generative model. The memories include natural language text descriptions of interactions in the user interaction history generated by the trained memory-extracting generative model. The processing circuitry is further configured to store the memories in file storage having an associated database with a vector search interface configured to receive memory retrieval queries. The computing system may further be configured to receive a user message via an interaction interface, retrieve relevant memories, generate a response-generating prompt with the user message and relevant memories, and use the prompt to generate a response to the user message with a generative language model.

An agent-based website search interface utilizes a multimodal model to enhance enterprise operations. Data agents collect and process diverse inputs, while an orchestrator manages these agents. The system leverages machine learning models to generate insights and automate decision-making processes. It includes tools for data visualization and validation, ensuring accuracy and reliability. By integrating generative AI, the interface provides advanced search functionalities, improving user experience and operational efficiency. This facilitates seamless interaction to answer context specific questions from complex data, offering a robust solution for enterprise-level search and analysis.

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.

The invention provides a medical literature intelligent processing and analysis system and method based on a large model and a terminal.The method comprises the steps that firstly, a query request of a user is obtained through a user search interface, then the large model is called for user intention recognition, related biological entities are extracted, and a corresponding logic chain instruction is generated; matching background information of related entities in a pre-constructed biological entity library according to the extracted biological entities; matching in a literature abstract knowledge graph database according to the logic chain instruction to obtain a correlation sequence of the literatures; and finally, integrating the logic chain instruction, the biological entity background information and the related literature information to generate and display a corresponding query result. According to the method, the problems of tedious document acquisition, time-consuming reading, complicated analysis and the like faced by medicine researchers are solved, intelligent document processing and analysis are performed by adopting a method based on a large model, the document reading process is accelerated, the manual analysis cost is reduced, and the research efficiency is improved.

The invention provides a freight screening result display method and a computer readable storage medium, and terminal equipment receives freight search information on a freight search interface, and sends a freight search request carrying the freight search information to a server after receiving a search operation on the freight search interface. The server determines a plurality of recall modes according to the freight search information and information of a first user corresponding to the terminal equipment, and sends the recall modes to the terminal equipment according to preference degree information of the first user for recall precision and / or preference degree information of the first user for historical search results obtained by the plurality of recall modes; determining recall numbers corresponding to the plurality of recall modes; a screening result is obtained based on the recall numbers corresponding to the recall modes, the server sends the screening result to the terminal device, and the terminal device displays the screening result. According to preferences of different drivers for transportation demand orders, screening results displayed for the drivers are determined in a personalized manner, so that the order receiving efficiency of the drivers is improved, and the order reaching efficiency is improved.

The invention discloses an internet mass data accurate search method and system based on an AI technology, and relates to the technical field of internet, the method comprises the following steps: receiving a query text input by a user, using a natural language processing technology to identify the input query text, and generating a structured query vector; based on the structured query vector, constructing a knowledge graph to obtain a rich semantic context graph; a knowledge transfer learning technology is introduced, historical search data and behavior characteristics of a user are analyzed, and a personalized search model is constructed; monitoring the real-time interaction behavior of the user, judging the cognitive load of the user, and generating an adaptive search interface; initiating a plurality of query requests by using the personalized search model, and outputting a personalized search result set through filtering and sorting; according to the method, the knowledge graph is constructed and the rich semantic context graph is generated, so that the system can identify entities and multiple relationships thereof, more relevant search results are provided, and a user is promoted to discover potential requirements.

According to one aspect, a computing system (10) is provided that includes processing circuitry (14) configured to receive input data from multiple interaction modalities (69) of a user, generate a multi-interaction-modality user interaction history (32) from the input data, and extract memories from the multi-interaction-modality user interaction history (32) using a trained memory-extracting generative model (30). The memories include natural language text descriptions of interactions in the user interaction history (32) generated by the trained memory-extracting generative model (30). The processing circuitry (14) is further configured to store the memories in file storage (18) having an associated database (19) with a vector search interface configured to receive memory retrieval queries. The computing system (10) may further be configured to receive a user message (47) via an interaction interface (48A), retrieve relevant memories (45), generate a response-generating prompt (50) with the user message (47) and relevant memories (45), and use the prompt to generate a response (58) to the user message (47) with a generative language model (56).

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.

The embodiment of the invention provides an information display method and device, equipment and a storage medium, and the method comprises the steps that an information search interface is displayed, and a first search box is displayed in the information search interface; in response to first search text information input for the first search box, displaying a first recommended search display area in the information search interface; wherein first object attribute information of at least one first recommended search object corresponding to the first search text information is displayed in the first recommended search display area, and the first object attribute information of each first recommended search object comprises a plurality of different types of attribute information of the first recommended search object. The attribute information of different types can be displayed, so that the user can quickly confirm the search object, and the information acquisition efficiency is improved.

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.

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.

The embodiment of the invention relates to the field of terminals, in particular to an interface display method, electronic equipment and a storage medium. The method comprises the steps that the electronic equipment displays a first interface; afterwards, the electronic equipment responds to search operation on the first interface, and the electronic equipment displays a second interface. Wherein the second interface comprises a recommended search result area, and the display position of the recommended search result area is at the bottom of the second interface; the recommended search result area comprises the first interface element. And then, the electronic equipment opens a search result corresponding to the first interface element in response to a first operation on the first interface element. According to the method, in the second interface displayed by the electronic equipment, the display position of the recommended search result area is at the bottom of the second interface, and the bottom of the second interface can accord with the habit of one-hand operation of a user. Therefore, the process of using the search interface by the user can be simplified, the user can conveniently operate the electronic equipment with one hand, and the user experience can be improved.

The present application provides a search processing method performed by a computer device. The method includes: displaying a resource search interface in response to a search operation on multimedia data in a service interface, the resource search interface comprising a first region and a second region; displaying, in the first region, at least one search tag associated with the multimedia data; and displaying, in the second region in response to a selection operation on a target tag of the at least one search tag displayed in the first region, a search result associated with the target tag. Search efficiency for the multimedia data can be improved.

The invention discloses a search method and device, electronic equipment and a readable storage medium, and belongs to the technical field of electronic equipment. The method comprises the following steps: receiving first input; in response to the first input, displaying a search interface of a first object corresponding to the first input; the search interface comprises a search result corresponding to the first object and a questioning control; receiving a second input to the questioning control; and in response to the second input, displaying a feedback result of the inquiry information corresponding to the second 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.

The invention provides an interaction method which can be applied to the technical fields of Internet technology, electronic technology, artificial intelligence and the like. The interaction method comprises the following steps: in response to a search operation of a user on a search interface, displaying an interaction control corresponding to a target category to which a search keyword belongs; in response to a trigger operation of the user on the interaction control, initiating interaction information for the target category to the user in a dialogue window of the interaction control; under the condition that the user intention is determined to be an article recommendation intention according to the reply of the user, performing user preference interaction with the user, and determining preference information of the user for a target category; and according to the preference information of the user, recommending a target article to the user, the target article being determined from all articles of the target category. The invention further provides an interaction device, equipment, a medium and a program product.

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.

The invention relates to the technical field of interface packaging, and discloses an interface packaging system and method based on a cloud platform. The method aims at integrating third-party interfaces of different types of clouds, providing the same calling mode externally, and achieving unified authentication, flow control, statistics and the like of different types of interfaces. The platform generally provides templates and rules defined by the interface, the maintainability and the later expansion capability of the interface can be ensured, meanwhile, unified interface document management can also avoid the tedious process that a developer searches interface information in multiple platform documents, the detailed interface calling configuration achieves the interface automatic testing process, and the testing efficiency is improved. And the problem of interface differences from different sources is solved. According to the invention, unified calling of different source components and interfaces of different calling modes is realized; a redis first-level cache mode and a local second-level cache mode are used for relieving the pressure of a database network, and interface information is rapidly analyzed; and unified authentication of the interface is realized by using a redi and RSA2 asymmetric encryption algorithm.

1. Name of the product of this design: A search dialog box and display unit of a graphical user interface for searching information of an electronic device. 2. Purpose of the product of this design: an electronic device. 3. The key design features of this design product are the part of the graphical user interface for which protection is requested. 4. The picture or photo that best illustrates the key points of the design: main view. 5. Purpose of the graphical user interface: The interface is divided into three areas, which are used to provide users with a search input bar and display search results. When users want to further search for a certain content, they can enter the search question through the search dialog in the interface, or click to select the commonly used questions in the middle of the interface to search. Users can also click the function buttons at the bottom of the interface to reserve or purchase related products that users searched for. Local uses of the interface: the runway-shaped box with pointed corners at the top of the interface is a search dialog box, and the text in the dialog box is the content entered and searched by the user; the runway-shaped box with pointed corners in the middle of the interface is common search questions generated by artificial intelligence, and the user can click on one of the dialog boxes to select the content they want to search from these listed questions and start further search; the picture box in the middle of the interface displays product content related to the user's search, and the user can browse related content by clicking on the picture box; the runway-shaped box with a right arrow icon at the bottom of the interface is the "Book Now" function button, and the user clicks this button to book or purchase the related products the user searched for. 6. Other situations that need to be explained Other explanations: The dotted part in the figure is the content that is not requested for protection, and the solid line part and dot matrix area in the interface are the content that the interface is requested to protect.

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.