225 results about "Content object" patented technology

An example operation includes one or more of logging user actions with respect to placement of objects of content on a user interface including respective content types of the objects of content, training an artificial intelligence (AI) model to learn location preferences for a content type on the user interface based on the logged user actions including the respective content types, receiving a request to open an object on the user interface with the content type, determining a display location on the user interface for the object based on execution of the AI model on the content type, and displaying the object at the determined display location on the user interface.

Methods, systems, and computer program products for collaboration systems. A method for identifying selected portions of a set of content objects for use in generating a large language model (LLM) prompt comprises: identifying a content management system (CMS) wherein collaboration activities occur over time and over content objects maintained in the CMS, and wherein the CMS maintains a historical record of occurrences of the collaborator activities over the content objects. Upon receiving a natural language query from a CMS collaborator, reducing a larger corpus of content objects to a smaller corpus of context passages that are used in an LLM prompt. The smaller corpus of passages is formed using a two-phase reduction scheme whereby firstly, selected constituents from the larger corpus of content objects are identified based on CMS metadata; and then, rather than considering the larger corpus, instead considering only the selected constituents when generating the LLM prompt.

Techniques are described herein for providing artificial intelligence mediated curation of access and content within a cyber threat intelligence platform. An example system includes: one or more memories, and one or more processors. The example system may receive, from a node, an input indicating a cyber threat type; identify, by a trained AI model, cyber threat intelligence content objects, each of the objects being (a) contributed by one or more nodes having access to the distributed ledger or (b) generated by the trained AI model; evaluate, by the trained AI model, each object to: determine relevance values corresponding to each of object, and generate (i) a curated set of cyber threat intelligence content objects based on the relevance values and (ii) a recommended cyber threat practice; and transmit the recommended cyber threat practice and an indication of the curated set of cyber threat intelligence content objects to the node.

The system described herein provides the ability to efficiently back up and restore files within a service, such as a network-based file hosting service or a collaboration service. The system is configured to improve file restoration (may also be referred to as recovery) that occurs in response to an event (may also be referred to as an incident) that compromises a tenant device on which the files reside, thereby preventing access to the files or corrupting the files that are available to the tenant. An example of an event includes a ransomware attack. The described system utilizes a set of defined resources within a boundary to back up tenant files and restore the files. The resources include a metadata database and a blob store. The system combines mutable metadata with immutable content objects within the service to provide faster restoration than the conventional approach.

A system for deriving a digital representation of an online meeting using contextual data inferred from non-verbal communications. The system processes video streams from meeting participants, including content shared during the meeting. Object detection algorithms identify regions of interest in shared content, such as text collections or graphics. For text collections, layout analysis algorithms determine the structure, enabling extraction of word groups. These word groups are stored with timestamps indicating when they were shared. The system can also detect gestures made by participants, generate textual descriptions of the gestures, and integrate them with a text-based transcript of the meeting. This creates a chronological sequence of both verbal and non-verbal communications. In response to user queries, the system generates responses based on the extracted word groups, gesture descriptions, and their corresponding timestamps, providing comprehensive insights into the online meeting.

A system and method for improving traffic of a webpage is presented. The method includes receiving a first plurality of activity records respective of a webpage, the webpage including a plurality of content objects, each content object including a markup language code; generating a first metric value based on the first plurality of activity records; generating an alternative webpage based on the plurality of content objects; generating a second metric value based on a second plurality of activity records respective of the alternative webpage; generating a second alternative webpage in response to determining that the second metric value is lower than the first metric value; and replacing the webpage with the alternative webpage, in response to determining that the second metric value is higher than the first metric value.

Techniques are provided for an automated crawler for crawling a primary online content object and storing a set of results, a parser for parsing the stored set of results to generate a plurality of key phrases and a content corpus, a plurality of models for processing at least one of the plurality of key phrases or the content corpus, wherein the processing results in a plurality of topic clusters which arrange topics within the primary online content object around a core topic based on semantic similarity, a suggestion generator for generating a suggested topic that is similar to at least one topic among the plurality of topic clusters and for storing the suggested topic, and an application for developing a strategy for development of online presence content.

The invention discloses a digital display safety early warning method based on real-time content monitoring, and belongs to the technical field of digital display system information safety, and the method comprises the steps: carrying out the real-time content capturing based on a content collection assembly embedded in a digital display; generating a content object data set; activating an embedded edge calculation module of the digital display, performing content identification on the character data sequence and the image data sequence, and performing behavior pattern identification on the operation data sequence; in combination with a preset content safety early warning rule and the content recognition result, content safety judgment is carried out, the behavior pattern recognition result is compared with a standard behavior pattern, and operation safety judgment is carried out; and generating a safety early warning instruction to perform safety early warning response. The technical problems that in the prior art, a digital display lacks a real-time content monitoring and safety early warning mechanism, and therefore potential safety hazards such as content violation, sensitive information leakage and operation abnormity cannot be found and responded in time are solved.

In some aspects, the techniques described herein relate to a method including: generating, by a reinforcement learning engine, a plurality of user states within a simulated 3-dimensional environment; generating, by the reinforcement learning engine and for each of the plurality of user states, a plurality of movement actions, wherein each of the plurality of movement actions place a virtual content object in a corresponding position within the simulated 3-dimensional environment; generating, by the reinforcement learning engine and for each corresponding position of the virtual content object, a reward value, wherein the reward value reflects a relative utility of the corresponding position of the virtual content object; and updating, by the reinforcement learning engine, a placement policy based on the reward value for each corresponding position of the virtual content object.

System, methods, and machine-readable media to facilitate adaptive content composite interaction with respect to digitally distributed content are disclosed. Discovery may be performed, and events specified for digital distribution may be detected. A particular endpoint identifier mapped to media devices may be detected. Events may be determined as a function of access specifications. Content objects corresponding to the events may be received from a remote system via a network. Content composites corresponding to mapping specifications may be created for each content object with selecting and configuring an adaptable content object with the content object to form a content composite to facilitate presentation of the content composite. The content composites may be used to facilitate an augmentation interface with a graphical layout of the content composites, each causing display of an interface element allowing selective communications to a process-performing system to configure an executable function in accordance with parameters.

The embodiment of the invention provides an agent-based task interaction method and device, equipment and a storage medium. The method comprises the steps that in response to a received request for indicating a target task, an execution plan of the target task is determined through an intelligent agent, and the execution plan indicates at least one subtask; during execution of the target task according to the execution plan, presenting a content object representing an intermediate execution result of the target task, the content object having an at least partially structured visual pattern, the intermediate execution result comprising at least a portion of a corresponding execution result of the at least one sub-task; in response to receiving feedback for at least a portion of the content object, a response to the feedback is provided with the agent.

The embodiment of the invention provides a content retrieval method, device and equipment based on a machine learning model. The method comprises: in response to a received query request, determining a first content object associated with the query request, the first content object comprising a plurality of content segments and a plurality of groups of identifiers respectively corresponding to the plurality of content segments, and each group of identifiers at least comprising a first index corresponding to the content segment; providing the query request and the first content object to a machine learning model to obtain at least one second index output by the machine learning model, the at least one second index respectively indicating at least one target content segment in the plurality of content segments; and based on the at least one second index and the multiple groups of identifiers, extracting at least one target content fragment from the first content object to respond to the query request.

As a default, a global permissions model is established. The global permissions model serves for applying a first set of resource access permissions to shared content objects. Additionally, a set of context-aware access policies that govern user interactions over the shared content object is established. When a particular user requests an interaction over a shared content object, then interaction attributes associated with the request are gathered. The context-aware access policies are applied to the request by determining a set of extensible access permissions that are derived from the interaction attributes. The context-aware access policies are enforced by overriding the first set of resource access permissions with dynamically-determined access permissions. When a particular access request is denied, a response is generated in accordance with the set of extensible access permissions and the user is notified. In some cases, the access request is permitted, but only after the user provides a justification.

A computer-implemented method of caching multi-session data communications in a computer network, includes the steps of: (a) receiving, intercepting, or monitoring one or more data sessions between a client executing a multi-session application for retrieving a desired content object and one or more metadata services, said client communicating with the one or more metadata services to discover metadata for the content object; (b) analyzing queries and responses exchanged between the client and the one of more metadata services to discover metadata for the content object; (c) receiving or intercepting subsequent data sessions between the client and content sources; (d) identifying a data protocol used by the client and identifying data queries within the data sessions; (e) identifying the content object or portions thereof requested by the client in the data queries; and (f) determining if the content object or portions thereof are stored in cache and, if so, sending the content object or portions thereof stored in cache to the client, and, if not, sending the data queries to the content sources, storing data responses from the content sources, and sending the data responses to the client.

A smart cart presents candidate content objects to a user according to presentation constraints determined based on a predicted route of the smart cart. The smart cart obtains, from an item database, a plurality of candidate content objects to be presented to a user of a smart cart. The smart cart obtains a location of the smart cart in an environment. The smart cart applies a machine-learning route prediction model to the location of the smart cart to determine a future route of the smart cart. The smart cart determines, for each candidate content object, one or more presentation constraints based on the future route of the smart cart, wherein the presentation constraints constrain presentation of the candidate content object to the user to maximize a likelihood of the user engaging with the content object. The smart cart presents, via an electronic display, one or more of the candidate content objects according to the presentation constraints.

Case management systems and techniques are disclosed. In various embodiments, a trait definition is received that associates with a case node comprising a case model an object associated with an external system, e.g., a document or other content object and / or a business or other software object. The trait definition is used to bind respective instances of the object to corresponding instances of the case node in case instances created based on the case model.

The application discloses a kind of neural image style migration methods, comprising the following steps: obtaining content image data and style image data;Content image data and style image data are analyzed semantically, and content image data features and style image data features are extracted;Output image data is generated by combining content image data features and style image data features using neural style migration method;Whether output image data meets the standard is judged using first rule;When output image data meets the standard, output image data is exported, and output image data is transmitted to a preset terminal;When neural style migration is carried out, the object in content image and the background in style image are distinguished, and the content object in content image is given higher weight, which is more helpful to retain the content of meaningful image elements in content image, and can effectively improve the quality of output image.

The invention discloses a PDF (Portable Document Format) document structured analysis method based on weighted overlap ratio, which comprises the following steps of: performing layout analysis, standardization and sorting processing on an original PDF document to obtain a layout frame of the original PDF document and a corresponding category label data set; carrying out content object extraction on the original PDF document and constructing to obtain a content object box set of the original PDF document; based on a weighted coincidence degree scoring method, obtaining an optimal attribution layout of the original PDF document content object, and identifying an abnormal scene; based on a configurable rule engine, performing cross validation and deviation correction on the layout frame and the content object frame, and dynamically updating the layout-document content object tree; and based on the dynamically updated layout-document content object tree, outputting an analysis result, and converting and storing the analysis result. According to the method, the problems of inaccurate layout identification, wrong content classification, document content missing and the like are solved, and high-precision, high-robustness and high-flexibility structured analysis of the complex PDF document is realized.

The invention provides a cloud side-end collaborative content caching method, which comprises the following steps of: obtaining an initial caching value according to the number of network content objects in a network content list required by terminal equipment and the popularity degree of each network content object, so that the terminal equipment puts forward a content request; the edge server performs online updating on the cache value in each time slot by obtaining and responding to the content request to obtain the current cache value; constructing a single-side caching strategy according to the established constraint conditions of the edge server and the terminal equipment and the current caching value, and obtaining a single-side caching strategy of the edge server and a single-side caching strategy of the terminal equipment to construct a strategy space; combining the constructed state space, the reward function and the strategy space to obtain an action space, inputting the action space into the trained deep reinforcement learning network for action selection, and obtaining an optimal action as a multilateral cooperative caching strategy; the long-term delay is optimized to achieve efficient collaborative content caching without generating a dimensionality curse.

Embodiments provide for integrating custom content object repositories within a website building system. In some embodiments, a content object selection interface is generated comprising a plurality of candidate content objects selected based at least in part on a website identifier and one or more website editing historical interactions. The content object selection interface is rendered via a first computing device associated with an editing user identifier. Using a trained customization model and based at least in part on the editing user identifier, one or more selected candidate content objects are transformed into a custom contextualized content object. The custom contextualized content objects are added to a custom content object repository associated with the website identifier.

This invention provides a method and system for verifying and tracing file fingerprints for scientific instrument data, comprising: Step S1, acquiring user identity information and instrument identifier of the scientific instrument, identifying the original data file through file monitoring and automatically collecting basic metadata to generate labeled metadata; Step S2, calculating the file fingerprint based on the algorithm identifier using a digest algorithm and writing it into a fingerprint database; Step S3, performing fingerprint comparison on the file fingerprints; if the fingerprints are the same, reusing the existing content object identifier and adding a new version record; if they are different, creating a new content object identifier and adding a new version record; and when the same reservation identifier, upload time difference not exceeding a preset threshold, and fingerprint inconsistency are met, creating a version fork and recording the fork reason code and fork reason payload for traceability; Step S4, performing verification processing on the downloaded file. The beneficial effect is that this invention can meet the comprehensive requirements of traceability, auditability, and real-time performance for the security management of scientific instrument data.

Systems and methods are described herein for select content for bid-processing and content placement online placement resources. A computer in an RTB bidding process transmits the selected content to an identified online resource that satisfies the various (and often competing) goal objective thresholds and budget thresholds. The computer transmits the content to the identified online resource, which forwards or transmits the campaign content for display at a user interface of an end-user. The computer analyzes historical data to evaluate the performance of content campaigns against multiple user-selected performance goals and priorities to determine whether to bid for content placement at a given online resource. The computer may generate a blocklist to reject placements at underperforming online resources. The computer may perform optimization functions to determine optimal bid prices that balance the goal objective thresholds and budget threshold and determine whether to bid for the placement.

A travel system generates and provides content recommendations to a user of the travel system. The travel system identifies content categories that are likely to be of interest to the user of the travel system based on context characteristics of the user such as whether the user is a traveler or a local at a particular geographic location. Additionally, the travel system further identifies content objects (e.g., attractions, activities, events, restaurants, businesses, and the like) for each identified content category that are likely to be of interest to the user based on characteristics of each content object. The identified content categories and content objects are provided as content recommendations for display to a user of the travel system, enabling a user to quickly navigate between content categories and content objects within each content category.

The invention relates to a content display method and device, equipment, a medium and a vehicle. The method comprises the following steps: in response to a received voice control display instruction of a current user, identifying whether a content object requested to be displayed and a first title relation word which belongs to the content object and is related to the current user exist in the voice control display instruction; if the content object and the first title relation word exist in the voice control display instruction, performing voiceprint recognition on the voice control display instruction to obtain current voiceprint information of the current user; searching a current user identifier corresponding to the current voiceprint information from a preset voiceprint map, and determining a first user identifier corresponding to a first title relation word of the current user identifier; extracting target data content corresponding to the content object from data content of a first target user corresponding to the first user identifier; and executing the display action of the voice control display instruction on the target data content, thereby enriching the control mode of the content display of the vehicle-mounted equipment and improving the user experience.

A computer-implemented method of caching multi-session data communications in a computer network, includes the steps of: (a) receiving, intercepting, or monitoring one or more data sessions between a client executing a multi-session application for retrieving a desired content object and one or more metadata services, said client communicating with the one or more metadata services to discover metadata for the content object; (b) analyzing queries and responses exchanged between the client and the one of more metadata services to discover metadata for the content object; (c) receiving or intercepting subsequent data sessions between the client and content sources; (d) identifying a data protocol used by the client and identifying data queries within the data sessions; (e) identifying the content object or portions thereof requested by the client in the data queries; and (f) determining if the content object or portions thereof are stored in cache and, if so, sending the content object or portions thereof stored in cache to the client, and, if not, sending the data queries to the content sources, storing data responses from the content sources, and sending the data responses to the client.

Various implementations disclosed herein include devices, systems, and methods that detects user interactions with a content object of a set of views of a three-dimensional (3D) environment and provides a different set of views with a different positional constraint. For example, an example process may include associating a content object with a region of a physical environment, providing a first set of views of the physical environment, wherein the content object is displayed using a first positional constraint when included in the first set of views, detecting an interaction associated with the region of the physical environment, and in accordance with detecting the interaction, providing a second set of views of the physical environment, wherein the content object is displayed using a second positional constraint when included in the second set of views, the second positional constraint different than the first positional constraint.

Processor cores using content object identifiers for routing and computation are disclosed. One method includes executing a complex computation using a set of processing cores. The method includes routing a set of content objects using a set of content object identifiers and executing a set of instructions. The set of instructions are defined using a set of operand identifiers. The operand identifiers represent content object identifiers in the set of content object identifiers. The content objects can be routed according to a named data networking (NDN) or content-centric networking (CCN) paradigm with the content object identifiers mentioned above serving as the names for the computation data being routed by the network.

Methods, systems, and computer program products for content management systems. Multiple components are operatively interconnected to carry out operations for establishing a user device trust level. A content management system facilitates interactions between a plurality of user devices and a plurality of shared content objects. The plurality of user devices are network connected to the content management system. One of the user devices issues a request to access a particular one of the content objects. Responsive to the request, a two-step device check is performed before granting access to the particular one of the content objects. A first step of the two-step device check process is based on login information, and a second step of the two-step device check process is based at least in part on analysis of the content of the particular one of the content objects. The actual bits of the content object itself are inspected.

Systems and methods for cloud-based file sharing, where templates are provided for creating workflow instances which enable the sharing of managed objects. Reusable workflow templates are stored in the repository of a cloud-based file sharing system as objects that define components of the workflow, or placeholders for these components. A user instantiates a workflow instance from one of the templates and configures the workflow instance to identify content objects or forms, tasks related to the content objects, and users assigned to perform the tasks. The workflow instance is stored as an object in the repository. Users assigned to tasks are authorized through the workflow instance to access the content objects or forms to perform the tasks.

The invention discloses a digital content object generation method and device, relates to the technical field of game development, and mainly aims to solve the problem that the existing digital content object generation efficiency is low. Comprising the steps that under the condition of a visual game development environment, in response to a target digital content object creation instruction at a development node, the development node is determined; target digital content object information is obtained, a digital content object pool corresponding to the target digital content object information is obtained based on a digital content object pool manager, and the digital content object pool manager is used for conducting at least one management operation of creating, obtaining and recycling on the digital content object pool. The digital content object pool is used for performing at least one management operation of creating, using and destroying on a digital content object data container, and the digital content object data container comprises a digital content object and a script code associated with the digital content object; and determining a target digital content object data container from the digital content object pool, and generating a target digital content object at the development node based on the target digital content object data container.