110 results about "Search interface" patented technology

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 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.

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.

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.

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.

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.

The application belongs to the technical field of servo control optimization, and discloses a servo parameter optimization method and equipment for a ball screw feeding system based on a flexible action-evaluation algorithm, which comprises the following steps: (1) constructing an agent network of an SAC algorithm based on an Actor-Critic framework, wherein the agent network introduces maximum entropy; (2) associating a simulation model of the ball screw feeding system and the agent network of the SAC algorithm through an environment search interface, training the agent network of the SAC algorithm, and then obtaining optimized servo parameters by using the trained agent network. The SAC algorithm used introduces the concept of maximum entropy, explores the maximum entropy of a random strategy while exploring the maximum cumulative reward value, widens the exploration space of the agent network, improves the randomness of exploration, and is less likely to fall into local optimization compared with heuristic algorithms and other deep reinforcement learning algorithms.

The invention belongs to the technical field of data processing. The embodiment of the invention provides an interface control method based on data analysis and terminal equipment. According to the interface control method based on data analysis, the first retrieval operation sequence formed based on the first retrieval process of the user can be matched with the user template, then the user is recognized, and a corresponding interface display mode is provided for the user. Under the condition that the first retrieval operation sequence is not matched with the user template, a second sequence label value is calculated in combination with the second retrieval operation sequence, and then the user template is matched based on the second sequence label value. And when the second sequence tag value is matched with the user template, providing a corresponding personalized customized retrieval interface layout for the user.

1. Name of the product in this design: Graphical User Interface for Intelligent Recommendation Settings Function of Electronic Device. 2. Purpose of this design: An electronic device. 3. The key design features of this product are: the content of the graphical user interface. 4. Images or photos that best illustrate the design points: Interface change state diagram 3. 5. Other views are omitted as they are standard design. 6. Purpose of the graphical user interface: It is used in the vehicle system to intelligently recommend relevant setting options on the search interface based on user preferences and current environment information, allow users to perform corresponding setting operations, and display information. 7. Human-Computer Interaction Method of Graphical User Interface: The main view is the interface after the vehicle system settings application is opened. Clicking the "AI Search" button in the main view will redirect the interface to the recommended settings interface, as shown in Interface Change State Figure 1. In Interface Change State Figure 1, the user can click the recommended statement to be selected on the interface or enter the search statement in the text box and then click "Search" on the right side of the text box. The interface will redirect to the recommended settings interface, and the AI ​​recommendation reason and usage instructions will pop up, as shown in Interface Change State Figure 2. In Interface Change State Figure 2, the user can click the recommended function button, such as the "Rear Fog Light" button. The interface will redirect to the recommended function activation and button lighting interface, and continue recommending, such as the "Rear Fog Light" button. When the "Lights" button is turned on, the rear fog lights are activated, as shown in Interface Change State Figure 3. In Interface Change State Figure 3, "More Suggestions" is displayed on the right side of the interface. When the user clicks the "Go to Settings" button below "More Suggestions," the interface jumps to the continued recommendation settings interface, which displays the AI ​​recommendation reasons and usage instructions, as shown in Interface Change State Figure 4. In Interface Change State Figure 4, when the user clicks a recommended function button, such as the "Off-Road" button, the interface jumps to the interface where the recommended function is fully enabled and its button is lit up. For example, the "Off-Road" button is lit up, and the off-road function is enabled, as shown in Interface Change State Figure 5. The green blocks in the main view and Interface Change State Figures 1 to 5 are all content screens.

1. Name of the product in this design: The main body of the audio search graphical user interface for electronic devices. 2. Purpose of this design: An electronic device. 3. The key design features of this product are the graphical user interface in the electronic device for which protection is sought. 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: The graphical user interface is used to search for audio. The graphical user interface requests protection for a portion used to switch the audio search interface, search for audio, display audio information, and play audio. 7. Human-computer interaction method of graphical user interface: In response to the user touching or clicking the "Ai" button at the top or swiping the "Listen" button at the top to the right in the main view of Design 1, the graphical user interface changes from the main view of Design 1 to Design 1 Change State Diagram 1, then to Design 1 Change State Diagram 2, and then to Design 1 Change State Diagram 3 to show the process of switching to the audio search page; In response to the user touching or clicking the question in the interactive display area or entering and sending a question in the input field in Design 1 Change State Diagram 3, the graphical user interface changes from Design 1 Change State Diagram 3 to Design 1 Change State Diagram 4, then to Design 1 Change State Diagram 5, then to Design 1 Change State Diagram 6, and then to Design 1 Change State Diagram 7 to show the audio search results; In response to the user touching or clicking the "Add to Playlist" button in Design 1 Change State Diagram 7, the graphical user interface changes from Design 1 Change State Diagram 7 to Design 1 Change State Diagram 8 to show the updated playlist. In response to a user touching or clicking the "Ai" button at the top or swiping right on the "Listen" button at the top in the main view of Design 2, the graphical user interface changes from the main view of Design 2 to Design 2 Change State Diagram 1, then to Design 2 Change State Diagram 2 to demonstrate the process of switching to the audio search page; in response to a user touching or clicking a question in the interactive display area or entering a question in the input field and sending it in Design 2 Change State Diagram 2, the graphical user interface changes from Design 2 Change State Diagram 2 to Design 2 Change State Diagram 3, then to Design 2 Change State Diagram 4, then to Design 2 Change State Diagram 5, then to Design 2 Change State Diagram 6 to display the audio search results; in response to a user touching or clicking the "Add to Playlist" button in Design 2 Change State Diagram 6, the graphical user interface changes from Design 2 Change State Diagram 6 to Design 2 Change State Diagram 7 to display the updated playlist. In response to a user touching or clicking the "Ai" button at the top or swiping right on the "Listen" button at the top in the main view of Design 3, the graphical user interface changes from the main view of Design 3 to Design 3 Change State Diagram 1, then to Design 3 Change State Diagram 2 to demonstrate the process of switching to the audio search page; in response to a user touching or clicking a question in the interactive display area or entering a question in the input field and sending it in Design 3 Change State Diagram 2, the graphical user interface changes from Design 3 Change State Diagram 2 to Design 3 Change State Diagram 3, then to Design 3 Change State Diagram 4, then to Design 3 Change State Diagram 5 to display the audio search results; in response to a user touching or clicking the "Add to Playlist" button in Design 3 Change State Diagram 5, the graphical user interface changes from Design 3 Change State Diagram 5 to Design 3 Change State Diagram 6 to display the updated playlist. In response to a user touching or clicking the "Ai" button at the top or swiping right on the "Listen" button at the top in the main view of Design 4, the graphical user interface changes from the main view of Design 4 to Design 4 Change State Diagram 1, and then to Design 4 Change State Diagram 2 to demonstrate the process of switching to the audio search page; in response to a user touching or clicking a question in the interactive display area or entering a question in the input field and sending it in Design 4 Change State Diagram 2, the graphical user interface changes from Design 4 Change State Diagram 2 to Design 4 Change State Diagram 3, and then to Design 4 Change State Diagram 4 to display the audio search results; in response to a user touching or clicking the "Add to Playlist" button in Design 4 Change State Diagram 4, the graphical user interface changes from Design 4 Change State Diagram 4 to Design 4 Change State Diagram 5 to display the updated playlist. In response to a user touching or clicking the "Ai" button at the top or swiping right on the "Listen" button at the top in the main view of Design 5, the graphical user interface changes from the main view of Design 5 to Design 5 Change State Diagram 1, and then to Design 5 Change State Diagram 2 to demonstrate the process of switching to the audio search page; in response to a user touching or clicking a question in the interactive display area or entering a question in the input field and sending it in Design 5 Change State Diagram 2, the graphical user interface changes from Design 5 Change State Diagram 2 to Design 5 Change State Diagram 3, and then to Design 5 Change State Diagram 4 to display the audio search results. In response to a user touching or clicking the "Ai" button at the top or swiping right on the "Listen" button at the top in the main view of Design 6, the graphical user interface changes from the main view of Design 6 to Design 6 Change State Diagram 1, and then to Design 6 Change State Diagram 2 to demonstrate the process of switching to the audio search page; in response to a user touching or clicking on a question in the interactive display area or entering a question in the input field and sending it in Design 6 Change State Diagram 2, the graphical user interface changes from Design 6 Change State Diagram 2 to Design 6 Change State Diagram 3, then to Design 6 Change State Diagram 4, and then to Design 6 Change State Diagram 5 to display the audio search results. 8. Other situations requiring explanation: The portions of the graphical user interface shown by the dashed lines in the views of Design 1 to Design 6 do not constitute the parts protected by this design.

The invention relates to the technical field of computers, and provides a container shelving method, a container shelving device, a computer storage medium and electronic device.The container shelving method comprises the steps that in response to a received container identifier input by a user through a preset initial interface, service registration information bound with the container identifier in advance is obtained; the service registration information at least comprises a service type to which a current container indicated by the container identifier belongs; according to the business type, searching interface information of a racking operation interface associated with the current container; and generating and displaying the shelving operation interface based on the interface information, so that the user performs shelving information configuration through the shelving operation interface. According to the method disclosed by the invention, the technical problem of low operation efficiency caused by the fact that the operation interface associated with the business type to which the container belongs can be found through multiple manual attempts in related technologies can be solved, and the container shelving operation efficiency is improved.

An application receives user input of a search query by way of a search interface. The application determines a task based on the search query, and divides the task into a plurality of sub-tasks, at least some of the plurality of sub-tasks divided for parallel processing by different compute components. The application receives publication of partial results from the different compute components as those partial results are completed by their respective compute components. The application inputs the partial results into a reducer to create an aggregate partial result, and generates for display the aggregate partial result within the search interface, where the aggregate partial result is updated in real time as further partial results are published.

The invention discloses a cloud platform data dynamic configuration method for big data, which comprises the following steps: S1, inputting a user name and a static password, S2, unlocking and sending a dynamic password through the static password, S3, inputting the dynamic password, and then inputting a calling demand, S4, analyzing a data priority sequence of the demand by a database, and S5, sending the data priority sequence of the demand. S5, the database dynamically configures the data and then outputs the data, in the step S1 and the step S2, the user operation interface is unlocked while the user name and the static password are input, the dynamic password is sent to the receiving device after the static password input recognition is successful, and the search interface is unlocked after the dynamic password is input. The dynamic code is triggered to be sent, the data calling interface is entered after the dynamic password is successfully input, the password input by combining the static password and the dynamic password is more diversified, the security of data storage is improved, and calling is convenient.

The application provides a platform shielding and banning behavior intelligent identification method, relates to data processing technology, controls multiple access terminals to search keywords of each detection platform based on an identification plug-in, obtains a search interface of each detection platform, performs relevance identification on the search interface, and obtains a recommendation restriction coefficient; according to the search keywords, the same interactive text in each search interface is triggered and processed, a loading interface is obtained, interactive restriction identification is performed on the loading interface, a function restriction coefficient is obtained; according to the recommendation restriction coefficient and the function restriction coefficient, a comprehensive restriction coefficient is obtained, and a banning identification result of each detection platform is determined, the loading interface can be implicitly shielded and identified, various types of monopoly restriction measures in the loading process can be accurately captured, and the positioning cost and time cost of users are reduced.

In a virtual prop display method, based on a user operation to control a virtual object to perform a search of a virtual container in a virtual scene, a search interface of the virtual container is displayed. In the method, for each virtual prop in the virtual container, when a search duration of the search of the virtual container reaches a first duration, a first graphical representation is displayed in the search interface at a storage location of the virtual container that stores the respective virtual prop. In the method, for each virtual prop in the virtual container, when the search duration of the search reaches a second duration associated with the respective virtual prop, a second graphical representation of the respective virtual prop is displayed in the search interface, the second graphical representation including prop-specific visual details not included in the first graphical representation.

This invention provides a data synchronization method and apparatus. Through a visual interface, the data source and target cluster index parameters are configured. A data synchronization task is created based on the data source and index parameters. The task's time period and triggering rules are set. The task is scheduled according to these rules. An incremental watermark algorithm is used to read data from the data source. Write nodes are dynamically allocated based on load. A search interface combining HTTP / Socket dual protocols and local caching is provided to query data for business scenarios. This improves development efficiency, ensures data consistency and reliability, enhances resource utilization, and reduces data synchronization time. It significantly improves the data synchronization efficiency and system stability of distributed systems and is suitable for high-concurrency, multi-source, heterogeneous data synchronization scenarios.

Provided are a method and an apparatus for interface interaction, a device, and a storage medium. The method comprises: presenting a search item list in a search interface, wherein the search item list comprises a plurality of candidate search items, the plurality of candidate search items comprise at least a first search item and a second search item, the first search item and the second search item are determined on the basis of different search item sets, the plurality of candidate search items are sorted in a mixed manner in the search item list, and the search item list displays an indication element associated with the first search item, the indication element being used for indicating that the first search item is a historical search item of a user; and on the basis of a selection of a target search item from among the plurality of candidate search items, presenting a search result page for the target search item.