Oracle International Corporation

Michael Patrick Rodgers

Gurbinder Singh Bali

Satish Chandra Oruganti

Filipe Leahy-Dios

Shoaib Javed Lal Mohammed Ameerjan

Shreyas Ravindranath

Ganesh Kumar Gupta

Nicole Laurent

Darryl Martin Shakespeare

Rudolph E Lukez

Gary Taft Grieshaber

Eric L Sutton

John David Holder

Christopher Lee Walsh

Shoaib Javed

Techniques for UNDO and REDO operations in a computer-user interface are disclosed. The techniques enables users to configure entities for UNDO and REDO operations. The techniques also enable users to roll back individual entity to an immediate previous state in one UNDO operation and subsequently to the other previous states. Other entities are not affected by the UNDO operations to the entity.

Configurable entity-based undo and redo operations

Techniques for triggering a transfer of a chat conversation with a user from a chatbot to a human agent based on detection of transfer criteria are disclosed. The chatbot uses natural language processing and a generative model to collect and organize information from the chat conversation to present to the human agent in a report when the chat conversation is transferred to the human agent. The chat conversation is transferred to the human agent by presenting the report and a graphical chat interface to the human agent. The graphical chat interface displays messages from chat conversation between the human agent and the user and displays messages from chat conversations between the human agent and multiple other users. Transferring the chat conversation from the chatbot to the human agent includes presenting interface elements to the human agent for receiving user input from the human agent for transmission to the user.

Trigger-based transfer of conversations from a chatbot to a human agent

Layouts for elements of a flowchart or flow diagram may use recursive algorithms that trace along each parent-child pathway to ensure that child elements always occur after parent elements in a horizontal spacing. Vertical spacing requirements may then be calculated for each element, along with a vertical space above a center line and a vertical space below a center line for each element. These vertical spacing requirements may then be used by a recursive algorithm to assign vertical positions to each of the elements. The vertical spacing may ensure that lanes created for each branch element are not crossed by later elements in the process flow, which ensures that connections between elements may be clearly distinguished from each other.

Automatic layout of elements in a process flow on a 2-D canvas based on representations of flow logic

Techniques for configuring autosave triggers in a computing environment based on environment and data conditions are disclosed. A system trains a machine learning model based on data attributes and environmental attributes to generate autosave value triggers for a computing environment. The autosave value triggers are triggered by different conditions. For example, one autosave trigger may be triggered when an error condition is detected. Another may be triggered when a certain number of operations are performed. The machine learning model generates autosave trigger values scores for one or more autosave triggers. The system may implement the autosave triggers in the computing environment based on the autosave trigger values.

Configuring autosave triggers based on value metrics

A system drills back to an original audio clip in lists and reminders initiated by a virtual assistant. The system may receive audio input comprising a first request. Based on the first request, the system may schedule an action to be performed by the virtual assistant platform. The system stores at least a portion of the audio input and a mapping between the action and at least the portion of the audio input. The system performs the action. Subsequent to performing the action, the system receives a second request for audio playback of the first request corresponding to the action. The system retrieves at least the portion of the audio input based on the mapping between the action and at least the portion of the audio input, and plays at least the portion of the audio input comprising the first request.

Drill back to original audio clip in virtual assistant initiated lists and reminders

A system receives real-time log messages from an executing process that experiences a runtime error. Information such as a filename and line number for the underlying source code may be embedded in the log messages using compiler macros. When the log messages are received, a developer URL may be generated that links a developer workstation directly to the underlying source code file and line number in a source code repository. A support URL may also be generated with a link to a support center and an embedded search string that retrieves resources that are known to address the process error.

Contextual drill back to source code and other resources from log data

Techniques for measuring a user's level of interest in content in an electronic document are disclosed. A system generates a user engagement score based on the user's scrolling behavior. The system detects one scrolling event that moves content into a viewport and another scrolling event that moves the content out of the viewport. The system calculates a user engagement score based on the duration of time the content was in the viewport. The system may also detect a scroll-back event, in which the user scrolls away from content and back to the content. The system may then calculate or update the user engagement score based on the scroll-back event.

Determining user engagement in content based on scrolling events

Systems, methods, and other embodiments associated with self-transformation objects are described. In one embodiment, a method includes determining that a content object is to be rendered. The example method may also include evaluating attributes of a user to identify a content preference of the user. The example method may also include identifying a content transformation mapping that corresponds to the content preference. The example method may also include parsing the content object to identify a transformation script. The example method may also include executing the transformation script to parse the content object to identify elements that are tagged with a transformation tag. The example method may also include executing the transformation script to apply corresponding transformations from the content transformation mapping to the tagged elements. The example method may also include rendering the content object with the transformed elements.

Self-transforming content objects

A library uplift tool may automatically identify changes to elements of an between different versions of a software library interface. The public interfaces of the two versions may be compared to identify changes to datatypes, variable or function names, parameter names, parameter lists, and other elements of the library interface. Locations in application source code using the software library may then be identified and linked with the changes between the library versions. A report or user interface may then display specific locations in the application source code that are affected by the changes to the library versions. For each change, a suggested action may be presented in the interface, and an example of modified source code may be generated. The interface may be interactive such that modified source code may be automatically propagated to source code files for compatibility with the new library version.

Software library differential identification and automated uplift

To dynamically re-color scalable graphic images in web applications, a server may send an image filename to a web application operating on a client device. Before displaying the image, the client device may send a request back to the server identifying the image and providing color codes for the image. The server may load an image file for the identified image and replace generic placeholders in the image file with the color codes sent from the client device. The re-colored image file may then be sent back to the client device for display. The server may receive subsequent requests to re-color the image using different color codes in response to user inputs at the client device, such as clicking or hovering over the image.

Dynamic generation and delivery of scalable graphic images in web applications

Techniques for user-adaptive volume selection are disclosed. A system receives audio input that includes a user request to a virtual assistant. The system determines one or more sound characteristics corresponding to the audio input, and applies the sound characteristic(s) to a volume selection model. The volume selection model selects a volume level based on the sound characteristic(s). The system plays an audio response to the user's request at the selected volume level. Subsequently, the system receives user input to modify output volume to a different volume level. Based on the user input, the system calibrates the volume selection model. When the system receives another audio input, the system analyzes the other audio input to determine one or more sound characteristics of the other audio input. The system uses the calibrated volume selection model to select a volume level for an audio response to the other audio input.

User-adaptive volume selection

Techniques are disclosed that allow for retroactively capturing a debug/trace-level log without experiencing the severe performance degradation that obtaining such a log would otherwise entail. Trace-level logging is performed by maintaining a buffer of log messages for application events. The buffer is allocated a memory having very fast write speeds, and writing such messages into the buffer has a negligible performance impact. Many of the messages written into the buffer may not be important or useful at the time they are written. However, when a failure occurs, the messages may be useful for figuring out what when wrong. Responsive to detecting a failure or other anomalous event, the buffer of messages is automatically written to a permanent storage. Although writing to the permanent storage may be slow, the performance degradation is only incurred when a failure occurs.

Optimized logging module

Techniques for exposing virtual assistant skills as authorable content items interpretable across multiple platforms are disclosed. In an embodiment, a query system comprises an execution engine and a plurality of wrapper services including (a) a first wrapper service for converting messages between a first protocol of a first virtual assistant platform and a target protocol and (b) a second wrapper service for converting messages between a second protocol of a second virtual assistant platform and the target protocol. The query system may receive a specification for a skill and requests from the plurality of virtual assistant platforms that invoke the skill. The wrapper services convert the requests to a target protocol consumable by the execution engine and convert responses from the execution engine a protocol consumable by the virtual assistant platform through which the request originated.

Growing community of inventors

Orange, CA, United States of America

Michael Patrick Rodgers