21 results about "Content processor" patented technology

The invention discloses a test case generation method and related equipment. The method comprises the following steps: receiving multiple input source data; performing semantic integration and context association analysis on the demand document and the use case document through a content processor to generate structured processing data; calling a file processor to carry out format standardization processing on the input source data, and generating an intermediate file adaptive to AI model input; generating a semantic guidance instruction based on the preset cue word set and a preset multi-type cue word template through a word processor; inputting the structured processing data, the intermediate file and the semantic guidance instruction into an AI engine, and triggering a test case generation model; and receiving an original test case set output by the AI engine, and executing duplicate removal and priority ranking to generate a test case scheme. According to the method, the test case can be efficiently, comprehensively and accurately generated, and various defects existing in the software test case generation process in the prior art are effectively overcome.

A source content processor receives content from a crawler and calls a text mining engine. The text mining engine mines the content and provides metadata about the content. The source content processor applies a source content filtering rule to the content utilizing the metadata from the text mining engine. The source content filtering rule is previously built based on at least one of a named entity, a category, or a sentiment. The source content processor determines whether to persist the content according to a result from applying the source content filtering rule to the content and either stores the content in a data store or deletes the contents from the data ingestion pipeline such that the content is not persisted anywhere. Embodiments disclosed herein can significantly reduce the amount of irrelevant content through the data ingestion pipeline, prior to data persistence.

We propose a display device that works in conjunction with a content server using virtual accounts. [Solution] The system includes a user input interface that receives login requests for a specific account for viewing content from a remote control device, a processor that acquires screen information for viewing content based on the login request for the specific account, and a display configured to display a specific screen according to the acquired screen information when logging in with the specific account. When the processor determines that it has attempted to log in for the first time, the display device, in conjunction with the control server, receives a response indicating that the interaction with the specific content server has been successfully performed by logging in with the generated virtual account.

A computer implemented method manages data transformation tools. A processor set selects a foundation model to retrieve content of respective user manuals for a number of data transformation tools. The processor set generates a large language model from the foundation model based on the content of user manuals for the number of data transformation tools and a number of scripts for automation bots for the number of data transformation tools. The processor set generates a number of new automation bots for each data transformation tool in the number of data transformation tools using the large language model. The processor set performs a number of operations associated with data transformation maps in the number of data transformation tools using the number of new automaton bots.

A source content processor receives content from a crawler and calls a text mining engine. The text mining engine mines the content and provides metadata about the content. The source content processor applies a source content filtering rule to the content utilizing the metadata from the text mining engine. The source content filtering rule is previously built based on at least one of a named entity, a category, or a sentiment. The source content processor determines whether to persist the content according to a result from applying the source content filtering rule to the content and either stores the content in a data store or deletes the contents from the data ingestion pipeline such that the content is not persisted anywhere. Embodiments disclosed herein can significantly reduce the amount of irrelevant content through the data ingestion pipeline, prior to data persistence.

Implementations described herein relate to causing a client device to initiate streaming of multimedia content and causing the client device to render dialog content before and / or during the streaming of the multimedia content. Processor(s) can generate a structured large language model (LLM) query that can be processed to generate LLM output. The LLM output can include, for example, an indication of the multimedia content and the dialog content. In some implementations, the processors(s) can determine when to generate an additional structured LLM query to continue the streaming of the multimedia content, and proactively cause additional LLM output to be generated based on the additional structured LLM query. In additional or alternative implementations, the processor(s) can determine when to cause the dialog content to be rendered with respect to the streaming of the multimedia content.

Implementations described herein relate to causing a client device to initiate streaming of multimedia content and causing the client device to render dialog content before and / or during the streaming of the multimedia content. Processor(s) can generate a structured large language model (LLM) query that can be processed to generate LLM output. The LLM output can include, for example, an indication of the multimedia content and the dialog content. In some implementations, the processors(s) can determine when to generate an additional structured LLM query to continue the streaming of the multimedia content, and proactively cause additional LLM output to be generated based on the additional structured LLM query. In additional or alternative implementations, the processor(s) can determine when to cause the dialog content to be rendered with respect to the streaming of the multimedia content.

In some aspects, the disclosure is directed to methods and systems for in-application dynamic content loading via a hybrid process, including both local and remote content items, via a content handler intercepting requests in a predetermined uniform resource locator (URL) scheme and redirecting the requests to local storage or a remote content provider, transparently to a browser application or webview of the application, and avoiding restrictions imposed by an operating system of the device. Content may be dynamically updated on the content provider server by developers, and dynamically loaded during execution of the application on client devices, without requiring updates to be provided to an application store or publisher server.

A system that includes the following: a processor; a storage facility; and a machine-readable memory that stores instructions, whereby the instructions can be executed by the processor to: to receive inputs (400) specifying an expected amount of data and a minimum retention period for a deduplication data store (150); to perform a comparison of the at least one retention period with a stored data structure (170), wherein the stored data structure (170) comprises different combinations of respective storage multipliers corresponding to the respective maximum retention periods; to determine at least one storage multiplier of the respective storage multipliers based on the comparison of at least one retention period with the stored data structure (170); to determine a storage quantity to be provided for the deduplication data store (150) based on the expected amount of data and the determined minimum storage multiplier; and to provide the deduplication data store (150) based at least on the specified amount of storage.

Disclosed herein are embodiments of systems and methods for automated real time exploration of topics of interest during an electronic communication session. One or more meeting participants identify a category of interest, and operate an electronic device in the electronic communication session. A processor executes a machine learning model to identify one or more spoken words within a set of spoken words during the electronic communication session as one or more units of interest corresponding to the category of interest. The machine learning model may be trained to determine a context of the set of spoken works and to identify the one or more units of interest based on the context. The processor retrieves content associated with the units of interest from one or more data collections associated with the category of interest. The processor presents the content for display in real time in a graphical user interface.

Technical solutions provide extended reality based capabilities for just-in-time context-based assistance to robotic medical system users. A processor can receive a data stream of a medical session with a robotic medical system. The data stream can be captured by sensors in a medical environment. The processor can determine, based on the data stream and via a context-identification model trained with machine learning, a context of the medical session. The processor can determine, based on the context, an extended reality content to be presented to a user. The processor can detect, based on the data stream and via one or more object-identification models, one or more objects of the medical environment. The processor can establish, based on the objects detected, an interaction field in the medical environment in which to interact with the extended reality content and present the extended reality content to the user for interaction in the interaction field.

To provide a display device for controlling reproduction of content in conjunction with a server.SOLUTION: According to an aspect of an exemplary embodiment, there is provided a display apparatus including a user input interface configured to receive a play request for specific content from a remote controller, a processor configured to acquire a content identifier (ID) of the specific content, a previous accumulated play time of the specific content, and a play time point of the specific content based on the play request, and a display configured to display the specific content, wherein the processor is configured to determine whether a refund for a purchase of the specific content is available, and store the accumulated play time and a current play time point at a specific time interval when it is determined that the refund for the purchase is available.SELECTED DRAWING: Figure 4

According to one embodiment, an anomaly detection apparatus includes a processor. The processor acquires a first sample that is a subject for anomaly detection. The processor generates, using a trained model, a first text from the first sample. The first text represents a content of the first sample. The processor determines whether the first sample has an anomaly based on a statistic associated with all or a part of the first text in a dictionary. The dictionary associates all or a part of a second text representing a content of a second sample included in a training data set with a statistic related to a degree of appearance of all or a part of the second text in the training data set. The processor outputs a determination result.

In one embodiment, a method includes duplicating, by a processor, original web content accessible via a web application; scanning, by the processor, the original web content to identify protected content within the web content; replacing, by the processor, the protected content with metadata, wherein the metadata is accessible as part of limited web content via a duplicated web application; routing, by the processor, one or more non-human users to the duplicated web application and allowing access to the limited web content; and routing, by the processor, one or more human users to the web application and allowing access to the original web content.

A platform server for generating content based on user experience includes: a memory including a first learning model trained to generate a reconstructed content, based on a text, and a processor to communicate with the memory and to control the first learning model to output at least one reconstructed content corresponding to the text when the text is input from a user terminal. The processor is configured to receive an input content and a first text matching the input content from the user terminal, generate a bag of words, based on the first text, determine caption data using a second text derived from the first text included in the bag of words and a predetermined sentence structure, input a sentence indicated by the caption data to the first learning model, generate at least one reconstructed content corresponding to the sentence, connect the at least one reconstructed content with the input content, and output the at least one reconstructed content and the input content to the user terminal.

A system including a memory and a processor is disclosed. The memory may store a plurality of predefined virtual cards. The processor may obtain real-time information associated with latest news, and update content associated with one or more virtual cards based on the real-time information. The processor may further render a set of virtual cards at a first location of a user device screen. The set of virtual cards may include the updated virtual cards. The processor may further determine that a consensus has been reached amongst a plurality of users engaged in communication session to select a virtual card from the set of virtual cards based on inputs obtained from a sensor unit. The processor may additionally cause the virtual card to automatically move from the first location to a second location of the user device screen, responsive to determining that the consensus has been reached.

A computer system includes a computer device configured to communicate via a communication network to a plurality of user computer devices including a particular target user computer device of a target user. A processor is coupled to the computer device and has access to social network data and browser data of the target user. The processor is configured to provide dynamically determined targeted content to be communicated to the particular target user computer device. The processor implements a recommendation service that analyzes context of the target user based on browse history, behavior data, demographic information, and social network momentum data. The recommendation service includes a social momentum recommendation engine that provides targeted content based on social network momentum data that is independent of and distinct from the browser data of the target user.

A method, computer program product, and a system where a processor(s), obtains content from a meeting hosting system during a pre-defined interval. The processor(s) parses the textual content to identify potential keywords. The processor(s) iteratively cognitively analyzes the potential keywords to determine which potential keywords comprise seed keywords, where the seed keywords meet a maturity threshold for inclusion in a data structure, where the iterative cognitive analysis of each potential keyword of the potential keywords is repeated a pre-defined number of times, and where the iteratively cognitively analyzing includes generating and updating the data structure. The processor(s) outputs, based on completing the pre-defined number of times, the data structure comprising the seed keywords.

A system for allowing transferring a capital medium to end-users. One or more application server terminals are in communication with a plurality of user terminals connected to a network, at least one user terminal being permitted to provide user-information blocks to the one or more application server terminals. The application server is configured to receive at least one user-information block in the network and at least one selection data in the network, and the application server is configured to provide one or more of the user-information blocks to a content handler. The application server includes one or more application server terminals in communication with a client terminal. The application server uses a payment generator, configured to receive a trigger indicator, to transfer an amount of the capital medium to one or more wallets.

An information provision system includes a processor. The processor identifies a group to which a user belongs, based on characteristic information of the user. The processor determines external knowledge data corresponding to the identified group. The processor obtains a response content for responding to an input content by the user from the determined external knowledge data. The processor inputs the obtained response content to a machine learning model to generate a response to the user.

A processor receives request to generate content using an AI tool and generates the requested content using the AI tool. The processor detects that the AI tool used a first AI module and a second AI module associated with the AI tool to generate the requested content. In response, the processor accesses, from a memory, a first digital signature associated with the first AI module and a second digital signature associated with the second AI module. The processor generates a combined digital signature based on the first digital signature and the second digital signature and embeds the combined digital signature in the generated content to generate a marked content.