578results about "Web data navigation" patented technology

Machine learning models for autonomously navigating the web and / or apps are provided that receive (i) visual input that includes one or more images representing the current, and optionally one or more prior, visual states of the website or app being navigated, and (ii) textual input that represents a user request to be implemented by the model, the current HTML or other code defining the website or app, and optionally additional text like prior model outputs that represent prior steps in the navigation of the website or app by the model. The visual input and textual input are transformed into respective sets of visual and textual tokens, and this multi-modal token set is applied to an encoder. The output of the encoder is applied to a decoder to generate textual output that represents an action to take, relative to the code defining the website or app, to pursue the user request.

Disclosed are embodiments of a system and method for baling recyclable materials and managing the baling of recyclable materials. The apparatus for baling includes a baler for compressing and baling recyclable materials, a scale, label printer, and a processor. Certain embodiments further comprise at least one digital camera, RFID dispenser, and an internet connection that allows the processor to transmit collected data to a remote database for further analysis.The disclosed method for baling recyclable materials comprising the steps of baling materials; weighing the bale automatically using a digital scale operably connected to the processor; recording the weight of the bale automatically; and printing a label which displays the recorded weight of the bale. Additionally, the method may comprise inputting information and / or automatically recording data, and / or automatically transmitting the data associated with a bale to a remote database.

An embodiment detects by a Clustering Component of a Recommendation System, a candidate content based on a user query, responsive to the detected candidate content, executes a clustering algorithm on the detected candidate content to output a cluster and a cluster result. The embodiment decides, by a Recommendation Clarification Component of the Recommendation System, to recommend a clarification based on the cluster result, comprising computing a distance between a cluster and a response of a large language model to the user query where an option list is updated with the clarification where the clarification is based on the cluster and the distance. The embodiment also detects by the Recommendation System a selection in the option list, responsive to the detected selection, generates a prompt based on the selection where the prompt is inputted into the Recommendation System and the large language model.

The invention provides a vehicle enterprise APP intelligent assistant navigation method and system based on a large model. The method relates to collection of user navigation requirements and identification of key entities and user intentions by using a large language model. And when the navigation intention is identified, generating a navigation route through map data and a path planning algorithm in combination with the current position and the target position. And when the vehicle control intention is identified, remotely controlling the vehicle through a vehicle control interface. And when the intention is identified as the information query intention, relevant information is retrieved and displayed from the vehicle information base. And collecting user feedback, an optimization model and a navigation strategy. The navigation demand information comprises text and voice information. The navigation requirement understanding of the user is improved through the large language model, tedious operation is avoided, and the access efficiency and the user experience are improved. Personalized and real-time recommendation is realized, real-time information is provided according to requirements and environments, and travel route planning is optimized. Dialogue management supports multiple rounds of dialogues and deep interaction, complex requirements are effectively processed, and the ability to deal with complex scenes is improved.

The present specification describes systems and methods of generating and displaying at least one context aware active icon, virtual or graphical user interface object based on contextual and / or user attribute data acquired in response to a user using an application program or accessing a website / webpage on their computing device. In various embodiments, the at least one virtual object is visually overlaid on top of the application program or the website / webpage. The at least one graphical user interface object includes a URL or pointer directed towards launching another application program, evoking a functionality of another application program and / or launching another website / webpage on the user's computing device.

A computing system is provided including processing circuitry configured to implement a ranker module configured to jointly compute relevance scores of a set of candidate keywords to a query, and to generate a ranked list of candidate keywords based on the relevance scores. The ranker module includes a cross attention encoder configured to jointly compute the relevance scores by obtaining contextual embeddings for query tokens in the query and union of keyword tokens in the set of keywords, selectively pooling the contextual embeddings for the query tokens and the union of keyword tokens, inputting the selectively pooled contextual embeddings into a classifier that has been trained to predict a relevance score of the plurality of keywords to the query based on the contextual embeddings to output a relevance score for each query-keyword pair for the keywords in the set of candidate keywords, and outputting the ranked list of candidate keywords.

A method for displaying an application, includes: determining, in response to receiving by the electronic device a first operation on a target application, a first display window for the target application; determining a first display window parameter of the first display window, and determining, based on the first display window parameter, a target layout framework corresponding to the target application; and displaying the target application in the first display window based on the target layout framework.

A system for generating a video based on historical visits to a website is disclosed. The system determines that a first user wants to perform a first task on the website. In response, the system detects a navigation path that is being traversed thought the website and associates the navigation path with the first task. The system generates a first video that comprises one or more video scenes of visited sections. The system detects that a second user wants to perform the first task on the website. In response, the system fetches a code portion associated with the sections, generates one or more video scenes based on the fetched code portions, and generates a second video that comprises the one or more video scenes. The system displays the generated video on the website, where the second video shows the navigation path to perform the first task on the website.

Systems and methods are disclosed for integrating with third-party applications. An extension module operates with a user interface application on a client computing device. The extension module enables integration of functionality of an associated middleware system. The extension module extracts data from a user interface of a third-party application system based on a regular expression template. The extension module transmits data to the middleware system and receives information from the middleware system. The extension module can alter at least a portion of the user interface based on the information received from the middleware system.

A web browser includes a decision task assistant that parses and analyzes web content of multiple browser tabs concurrently open within a browser session. The decision task assistant creates a decision task tab group that includes the subset of the multiple browser tabs that references webpage subjects pertaining to a common decision task. The decision task assistant discovers attributes of the webpage subjects and displays a decision task summary for the decision task tab group. The decision task summary includes task-specific comparative parameters referencing one or more of the discovered attributes of website subjects in association with content cards summarizing information pertaining to each of the website subjects.

The invention relates to the technical field of data storage, and particularly provides a point cloud digital twinning-oriented efficient data storage and retrieval method, which comprises the following steps of: converting an original disordered point set into a dynamic voxel unit with probability density by analyzing a spatial distribution entropy value of a point cloud; generating a hierarchical voxel network with entropy weight marks; based on a hierarchical voxel network, extracting a voxel state transition rule across a time sequence, and encoding dynamic change features into a directed weighted graph; map nodes of the directed weighted map represent voxel stability, and a topological map with a space-time coupling characteristic is formed; training an implicit neural network to generate a continuous semantic vector field by using the space-time coupling characteristic of the topological graph; during retrieval, a target feature region is directly positioned through vector field gradient descent and then is reversely mapped to an original voxel level, and discrete retrieval is converted into vector navigation in a continuous space. According to the method, the contradiction between storage compression and retrieval efficiency is unified.

A processing device receives a request to analyze the file hierarchy comprising the plurality of components and sends respective commands to a plurality of matching services. The processing device further receives respective individual results from the plurality of matching services, each of the respective individual results indicating a respective subset of the plurality of components, and correlates the respective individual results using external identifiers associated with the components of each respective subset to generate a unified set of results.

A method for separating avionics charts into a plurality of display panels is disclosed. The method may include receiving chart data for a virtual avionics chart. The method may include determining whether the received chart data exceeds a predetermined threshold. The method may include generating a plurality of display panels if the received chart data exceeds the predetermined threshold. The method may include determining one or more buffer lengths for the generated plurality of display panels. The method may include generating a plurality of output files based on the generated plurality of display panels and the determined one or more buffer lengths.

The invention discloses an intelligent recommendation method and device for a vehicle cross-country cabin based on a large model, and relates to the technical field of cross-country driving assistance, and the method comprises the steps: obtaining multi-modal perception data in a vehicle cross-country scene, the multi-modal perception data comprising driver state data, vehicle state data and environment perception data; generating a driver target portrait based on the driver state data; generating target environmental risk data based on the vehicle state data and the environmental perception data; based on the driver target portrait and the target environment risk data, target situation feature data are generated through a preset large model; and based on the target situation feature data, determining target cross-country operation recommendation content corresponding to the target situation feature data from a preset cross-country knowledge base.

A computing system obtains a novel keyword from a keyword database comprising a plurality of keywords. The computing system provides the novel keyword as input into an encoder and obtains a textual embedding of the novel keyword. The computing system identifies classifiers for similar seen keywords to the novel keyword. The novel keyword embedding and the classifiers are provided as input into a combiner model which outputs a textual embedding representative of the novel keyword and the seen keyword classifiers. The computing system compares the output of the combiner model to a textual embedding of query text. The computing system then identifies content based upon a computed similarity between the query text and the output of the combiner model. The computing system causes presentation of search results at a client computing device wherein the results include content selected based upon the computed similarity.

The invention provides an information display method and device. The method comprises the steps that in response to an opening instruction of a page, part of content of the page is displayed, and the page comprises multiple levels of content modules; in response to a first event for the page, overview information of the page is displayed, and the overview information comprises multi-level titles corresponding to the multi-level content modules. Based on the overview information of the page, a user can quickly know which content modules are contained in the page and the hierarchical structure among the content modules, so that the browsing and information searching efficiency of the long page can be improved.

Techniques are disclosed for generating an altered version of an original version of media using a generative model. A system detects, at a computing device, a trigger event indicating a user of the computing device has requested to view media at a user interface of the computing device. In response to detecting the trigger event, the system: retrieves, an original version of the media from a backend server and identifies, using an object detection model, a bounding region of content within the original version, generates, using a generative model, an altered version of the media based on the bounding region, and transmits to the computing device, the altered version for display at the computing device in place of the original version, where the generative model generates the altered version of the media based on historical transaction information and user information of the user of the computing device.

Embodiments described herein relate to systems and methods for automatically generating content, generating API requests and / or request bodies, structuring user-generated content, and / or generating structured content in collaboration platforms, such as documentation systems, issue tracking systems, project management platforms, and other platforms. 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.

A system and method for providing Website navigation recommendations is provided. A Web page of interest is identified as a destination Web page. A domain of Web pages related to the destination Web page is determined. Information is extracted from each Web page in the domain and a recommendation comprising instructions for navigating to the destination Web page is generated based on the extracted information.

Embodiments described herein relate to systems and methods for automatically generating content, generating API requests and / or request bodies, structuring user-generated content, and / or generating structured content in collaboration platforms, such as documentation systems, issue tracking systems, project management platforms, and other platforms. 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.

Aspects of the present disclosure relate to hierarchical content organization techniques, which may thus enable improved content indexing and / or retrieval, among other benefits. In examples, a content platform maintains a content hierarchy, where, for example, each category within the content hierarchy has an associated set of categories / subcategories. It will be appreciated that any number of hierarchical levels may be used. Accordingly, a post or other content item may be associated with one or more categories / subcategories (e.g., one or more nodes) of the content hierarchy, thereby facilitating subsequent retrieval of the content (e.g., responsive to a user query and / or to provide to a search platform). Thus, in contrast to discussion boards and other content management systems, the disclosed aspects ensure content is organized when created, thereby improving later retrieval and / or any of a variety of subsequent processing, among other benefits.

A cloud browser system including an image generation server and a Web browsing system including an image forming apparatus and another image forming apparatus includes a unit that creates a tunnel between each of the image forming apparatuses and the image generation server so that the image generation server performs communication via virtual proxies provided by the respective image forming apparatuses and a unit that downloads Web content from a Web server via each tunnel and provides a rendering result based on the Web content to the corresponding image forming apparatus.

Systems, methods, and computer-readable storage media for aggregating media (and commentary on that media) into a topology. To do so, the system receives first content (and associated metadata) as well as second content (and associated metadata). The system then generates a topology based on a relationship between the first content and the second content, where the topology has a number of dimensions based on the metadata of the different pieces of content. The system then compares the topology and the metadata to previously stored topologies and / or metadata and, based on that comparison, executes a machine learning algorithm. The output of that machine learning algorithm includes predicted future changes to the topology, which the system uses to reduce the number of dimensions within the topology.

The present disclosure provides a method, apparatus, device, and storage medium for processing multimedia works. The method comprises: displaying a to-be-created favorite corresponding to a first content tag; and upon receiving a preset creation operation for the to-be-created favorite, creating a target favorite based on multimedia works with the first content tag in a multimedia work collection. It can be seen that the embodiments of the present disclosure implement a function of intelligently recommending favorites by displaying the to-be-created favorite corresponding to the first content tag, so that a user can create a target favorite by triggering the preset creation operation for the to-be-created favorite, thereby improving the convenience of creating favorites, enriching interactive functions related to multimedia works, and thus enhancing the user experience.

An improved electronic procurement system is disclosed. The electronic procurement system (“system”) implements features such as real-time adaptive extraction of online data. The system is configured to manage a plurality of page types for webpages and for each page type a plurality of field types for fields in webpages. The system is configured to further generate a computer application that can be integrated into a web browser. For each page type, the computer application is programmed to initially generate a signature for each field type based on minimal user interaction with webpages of the page type. The system is configured to also generate an agent using the signature. The agent is programmed to automatically extract data corresponding to the field types from additional webpages of the page type using the signatures. The agent or an associated background process is programmed to automatically update the signatures when data extraction fails.

The present technology has the ability to establish connections between content that do not have direct or explicit relationships. Implicit influence relationships can be established from user download sequence data, campaign data with keyword targeting, and content review data that mentions other content. Using these influence relationships, the relevance of content items can be determined based on the influence relationship of linked content items and a similarity relationship of content items. However, the importance of the influence relationship in ranking content items can vary depending on the parameters against which the content item is considered relevant. To address this, the present technology includes a context-driven factor that is used as a weight to adjust the impact of the influence relationship of the ranking, depending on the parameters against which the content item is considered relevant.

A smart phone and method are disclosed for controlling metadata associated with content on an electronic device that includes displaying interface screens for user entry of metadata control instructions, accepting user instructions, modifying metadata of applicable content, and associating the modified metadata with the applicable content. The system can export and / or store the applicable content along with modified metadata. The system can automatically modify metadata according to one or more profiles. Relevant profiles can be determined based on the export mechanism, destination or type of content. The system can display metadata for user modification. The content can include photos, videos or other content. The system can display metadata and geolocation indicators for each content item that indicate whether that item has associated metadata and geolocation information. The user can selectively modify metadata of selected content.

Aspects of the disclosure are directed to an artificial reality (XR) browser configured to trigger an immersive experience. Implementations display an element at a browser chrome of the XR browser when an immersive experience is loaded. For example, the XR browser can include an application programming interface (API) that supports configuration of a browser chrome element by components of a webpage. The API call can cause the display of the browser chrome element, change a display property for the browser chrome element, or configure the browser chrome element in any other suitable manner. Upon receiving input at the browser chrome element (configured by the API call), the XR browser can transition from displaying a two-dimensional panel view of a webpage supported by loaded web resources (e.g., hypertext transfer protocol (HTTP) pages, graphic images, etc.) to a three-dimensional environment supported by preloaded immersive resources (e.g., three-dimensional models, graphic images, etc.).