12 results about "Web object" patented technology

The invention provides a log analysis method based on an intelligent agent. In the method, firstly, a first command is received, and a first log is obtained based on the first command; secondly, on the basis of the context of the first log and the first cue word, a network object entity contained in the first log is recognized through a large model agent, the large model agent comprises a large model, and the large model is guided by a network object entity rule; the first prompt word is used for guiding the large model to identify the network object entity and the position thereof in the first log. Next, in response to a selection operation on a target network object entity, a second command is triggered, the target network object entity belongs to the network object entity contained in the first log, and the second command is generated through the large model agent according to the target network object entity, a second prompt word and a network object entity rule. Finally, a second log is obtained based on the second command. The method solves the problems that in traditional command operation, the information needs to be manually copied and pasted, a new command needs to be input, operation is tedious, and workflow is interrupted.

There are disclosed devices, system and methods for continual automated discovering of a topology of a computer network of physical network objects for an application. A first physical network object selects portions of sets of data messages being sent over time by the application and related network objects; and collects network configuration and time dimension information, and timeseries information from the portions of messages. A second physical network object receives the information and uses it to determine topology information for the application over time, which includes unique keys of, types of objects of, types of relationships between pairs of, groupings of, time dimension data of and metrics data of the physical network objects. The topology information can be stored; and can be queried to create and display a graph representation of the topology information that changes over time.

The invention discloses a data acquisition method, a data acquisition system and a related device, relates to the technical field of communication, and is used for reducing the number of hardware equipment deployed by a CEM platform so as to reduce the cost investment of an internet enterprise. The method comprises the following steps: probe equipment is used for acquiring communication service receipts, the communication service receipts comprise time slice receipts, and the time slice receipts are receipts obtained by counting user plane receipts and signaling plane receipts by taking a first time period as a statistical unit; sending the communication service document to a server; the server is used for receiving the communication service document from the probe equipment; and based on the communication service document, obtaining a user plane document and a signaling plane document of a target network object from the probe device, the target network object being a network object to be subjected to data processing.

A system for updating configuration of cellular telecommunication network components is vendor agnostic (i.e., supports multiple file formats and data modeling languages that may be used by various different OpenRan vendors). The system may include a single central unifying tool that removes dependence on different OpenRan vendor toolsets, enables the mobile network operator (MNO) to customize views and to add custom mapping and features, enables multiple file loading and provides a viewing tree structure for network components and parameters in a GUI. The system enables an MNO optimization engineer to make single or bulk parameter changes for multiple different network components, provides export and import options for electronic spreadsheet interaction, creates updated XML files and a listing of changes of network component parameters for tracking purposes, and provides parsing algorithms to support future software updates that introduce new network objects and features.

This disclosure relates to a recommendation method, apparatus, readable storage medium, and electronic device, comprising: acquiring attribute information and the main business type of a network object; inputting the attribute information and the main business type into a ranking and classification model to obtain the ranking and classification result of the network object output by the ranking and classification model, wherein the ranking and classification model includes a weight generation sub-network, a feature fusion network, and multiple business sub-networks, each business sub-network being used to extract at least a business feature vector of the network object under the corresponding business type, the weight generation sub-network being used to generate weights corresponding to each business type based on the generation parameters of the corresponding main business type, the feature fusion network being used to perform weighted fusion of the business feature vectors extracted by each business sub-network according to the weights corresponding to each business type to obtain a target feature vector, and outputting the ranking and classification result based on the target feature vector; and recommending network objects based on the ranking and classification results of multiple network objects.

The current disclosure provides methods and systems that can manage the dynamic-uncertainty induced by resources of decentralized data networks, in order to ensure the stability and sustainability of task-oriented automated operations, such as operations conducted through intelligent agents. In contrast to the state-of-the-art object-based processing, the methods and systems enable object-aware processing, to ensure the establishment of stable and sustainable associations with physical and digital web-objects, while enabling those objects to be processed dynamically with full adaptability in response to contextual and structural alterations in real-time. Thus, the disclosure provides—both human and machine—users with the ability to develop and deploy modular systems capable of engaging any conceivable physical or digital interaction with the resources of a data network, such as dynamically linking and manipulating clusters of complex web-objects to execute complex tasks in complex and dynamic web environments—most importantly—stably and sustainably.

A method, apparatus, and a computer-readable medium for a web object reputation processing, especially in Web3. The method includes: intercepting data transmitted in a data connection related to a current decentralized application running in a user apparatus, wherein the current decentralized application comprises a frontend implementing a web user interface for a user of the user apparatus, and a backend implemented as a smart contract; determining a reputation of a web object related to the frontend of the current decentralized application; and in response to determining that the reputation of the web object is malicious, blocking the data connection.

A method of rendering a web page that includes: receiving, by a client computing device, a first hint identifying a first web object transaction for obtaining a first web object of a plurality of web objects of the web page; and initiating, by the client computing device, the first web object transaction to obtain the first web object. The method further includes: receiving, by the client computing device, the web page; and rendering, by the client computing device, the web page utilizing the first web object.

A method and system for providing textual insights on objects deployed in a cloud environment are provided. The method includes collecting object data on objects deployed in the cloud environment, wherein objects are deployed and operable at different layers of the cloud environment; identifying objects deployed in the cloud environment; constructing a visual representation of the cloud environment, including the identified objects and their relationships; and generating textual insights on the identified objects and their relationships using natural language processing.

The present invention relates to a computer-implemented method and to a system to govern status check of at least one hyperlink in preservation of user's anonymity of the accessed hyperlink, comprising the following method steps: Providing probabilistic data structure storage, where at least one generated first fingerprint of a hyperlink referring to a WEB object accessed by at least one user is stored, whereby each fingerprint is associated with a status ascertained by the user access, Requesting a status check of at least one hyperlink; Generating a second fingerprint of each hyperlink requested for the status check, matching such a second fingerprint against the at least one first fingerprint, if the matching is successful then the status results in functioning, otherwise the status results in broken or as unknown functioning, and returning the status on an output device.

The current disclosure provides methods and systems that can manage dynamic uncertainty induced by resources of decentralized data networks, in order to ensure the stability and sustainability of task-oriented automated operations, such as operations conducted through intelligent agents. In contrast to the state-of-the-art object-based processing, the methods and systems enable object-aware processing, to ensure the establishment of stable and sustainable associations with physical and digital web-objects, while enabling those objects to be processed dynamically with full adaptability in response to contextual and structural alterations in real-time. Thus, the disclosure provides—both human and machine—users with the ability to develop and deploy modular systems capable of engaging any conceivable physical or digital interaction with the resources of a data network, such as dynamically linking and manipulating clusters of complex web-objects to execute complex tasks in complex and dynamic web environments—most importantly—stably and sustainably.

Embodiments of the present application provide a query word processing method and device, electronic equipment and readable storage medium, in which the original query word adapted to the user to be recommended is obtained, and the original query word is adjusted according to the auxiliary feature to generate the target query word. The auxiliary feature includes the object feature of the network object hit by the original query word, the user attribute feature of the user to be recommended and / or the current space-time feature, and the semantics of the target query word is associated with the semantics of the original query word and the semantics of the auxiliary feature. Finally, the target query word is recommended to the user to be recommended. In this way, the original recommendation word is automatically rewritten according to the auxiliary feature, so that the semantic information conveyed by the finally generated target query word is more rich, and the target query word can be more attractive to a certain extent, thereby improving the recommendation effect when the target query word is recommended.