498results 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.

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.

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 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.

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.

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.

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.

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.).

A cross reality system that renders virtual content generated by executing native mode applications may be configured to render web-based content using components that render content from native applications. The system may include a Prism manager that provides Prisms in which content from executing native applications is rendered. For rendering web based content, a browser, accessing the web based content, may be associated with a Prism and may render content into its associated Prism, creating the same immersive experience for the user as when content is generated by a native application. The user may access the web application from the same program launcher menu as native applications. The system may have tools that enable a user to access these capabilities, including by creating for a web location an installable entity that, when processed by the system, results in an icon for the web content in a program launcher menu.

Technology is disclosed for programmatically generating a summary by a language model of search results based on the corresponding relevance of the search results to an input search query to a search engine. A user inputs a search query into a search engine and the search engine determines and ranks a set of search results based on the relevance of each of the search results. A snippet of information is determined for the most relevant search results to the input search query. The snippets of information are used to generate an input prompt to a language model with an instruction to generate a summary of the snippets of information based on the input search query. The generated summary is provided in response to the user to the search query and / or is cached in order to provide the generated summary in response to similar search queries.

Systems and methods are provided as an AI-powered web browser companion. A method, according to one implementation, includes a step of locally monitoring user interactions during a web browsing session associated with a client device operating within a browser environment. The method also includes a step of locally determining user interests, user preferences, and behavioral patterns based on the monitored user interactions and further based on previously stored web browsing sessions. Furthermore, the method includes a step of providing personalized content and predictive navigation assistance in the browser environment based on the user interests, user preferences, and behavioral patterns.

A task-based search system is described. The computing system can receive, from a user device, a first user query associated with a task. The system can determine, using one or more machine-learned models, a first subtask having a first interaction score and a second subtask having a second user interaction score. Additionally, the system can perform a first query search for the first subtask to obtain a first content item associated with the first subtask. Moreover, the system can perform a second query search for the second subtask to obtain a second content item associated with the second subtask. Furthermore, the system can cause a presentation, on a display of the user device, of the first content item and the second content item. The first content item can be displayed above the second content item based on the first user interaction score being higher than the second user interaction score.

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.)

Disclosed is an improved systems and method for navigation and manipulation of browser windows in a 3D mixed reality environment. An improved approach is provided to view a user's windows, regardless of the current location for the user relative to one or more previously-opened windows. A method for displaying windows in a computing environment includes receiving an instruction to select multiple open windows. The method also includes retrieving information for the multiple open windows, where the multiple open windows are associated with different physical locations. The method further includes displaying a representation of the multiple open windows in a single user interface. Moreover, the method includes upon receiving a selection of a selected window of the multiple open windows, loading the selected window into a foreground of a field of view for a user.

A method for automatically identifying important and urgent news (IUN) in a large set of data comprises obtaining the large set of data in a textual-format, the large set of textual-data data contain a plurality of individual texts; clustering the textual-format data into a plurality of clusters; for each cluster, calculating the distances to all other clusters in the plurality of clusters and from those calculated distances determining a radius and a median of those calculated distances and then obtaining a difference between the radius and the median; and using the difference to identify important and urgent news in the large set of data.

A method can be performed by a browser. The method can include presenting at least a portion of a resource address; presenting a rendered webpage in a browser content window, the rendered webpage being associated with the resource address; presenting an annotation area, the annotation area being outside the browser content window; receiving, in association with a user account, an annotation in the annotation area; and storing the annotation in association with the user account and the resource address.

A method, apparatus and product including a browser configured to render pages, wherein the browser comprises a client-side execution engine, wherein the browser is configured to execute an extension for the browser, wherein the extension is a computer program product that has a memory storage that is external to the client-side execution engine of the browser; and a set of pages that is defined over multiple domains, wherein the set of pages comprises respective instances of an additive software layer that is configured to execute a walkthrough over the multiple domains, wherein a page of the set of one or more pages comprises an instance of the respective instances and a communication element that is configured to enable the instance of the additive software layer to communicate data to and from the extension.

A method for rendering context based information on a user interface includes receiving a user request to extract the context based information from a database. The database includes a plurality of documents and the request includes at least one search criteria required to determine a context of the user request. The method includes generating a list of documents corresponding to the context of the user request and rendering on a viewing portion of the user interface the list of documents corresponding to the context of the user request.