Digital Commons Network^™

Identifying Outages In User-Facing Products Based On Search Statistics, David Coles, Yehuda Karlinsky, Gil Ran, Shlomo Urbach

Defensive Publications Series

A method is disclosed for identifying outages in user-facing products based on search statistics. The method includes collecting search queries related to a user-facing product from a search engine. The method further includes generating statistics based on the collected search queries. The statistics may indicate spikes based on the product and failure-related terms associated therewith. Based on the statistics, the spikes for searches related to outage of the product are identified. Further, on identifying the spikes, alerts may be issued to an appropriate technical team related to the outage.

Online Meeting Assistance, Nishant Redkar, Sures Kumar Thoddu Srinivasan, Anubha Verma, Chhavi P. Gupta, Arijit De, Chanchal Agarwal

Defensive Publications Series

Online meetings sometimes offer a poor user experience to participants. Participants benefit from being able to access prior portions of an ongoing meeting, e.g., that they missed due to connectivity problems or because of interruptions. This disclosure describes a meeting helper that, with user permission, records and transcribes meeting content. The content is made available during and after the meeting. The meeting helper eliminates the need for participants to take notes during a meeting and offers improved user experience.

Adjustment Of Screen Brightness In Low-Power State, Julius D'Souza

Defensive Publications Series

Consumer electronic devices generally switch their screens to a low-power or off state when the device is not in active use. During periods of inactivity, the application processor of the device is in a sleep state. For always-on devices, the application processor periodically wakes up to update screen content, e.g., displayed time. However, such wake-up does not include any adjustments of screen brightness, and the screen may be difficult to read during inactive periods despite such periodic updates. This disclosure describes techniques to update screen brightness, and hence maintain screen readability, when the screen is in a low-power state. The …

Virtually Passing Monitor Detection Pulse Over Software Due To Hardware Constraints, Akanksha Gupta, Edward Anthony Mccreary, Alex Olson

Defensive Publications Series

During normal DisplayPort^TM operation, a cable connects from the Sink (monitor) to the Source directly via physical DisplayPort pins. But, what happens when Sink is connected to an Intermediary Device (ID) that connects to the Source? The straightforward approach is to transfer DisplayPort signals from Intermediary Device (ID) to the Source by hard-wiring all DisplayPort signals between them. This approach could be challenging if enough hardware pins are not available to send all the DisplayPort signals across from Intermediary Device to Source.

Thus, the idea disclosed in this disclosure demonstrates a way to successfully transfer all DisplayPort signals using …

Omni-Directional Catadioptric Acquisition System, Andreas Nowatzyk, Andrew I. Russell

Defensive Publications Series

An omni-directional catadioptric acquisition system (ODCA system) is provided to address the problem of producing real time, 360°, stereoscopic video of remote events for virtual reality (VR) viewing. The ODCA system is a video image-capture assembly that includes a cylinder with multiple apertures arranged around its circumference to admit light as the ODCA system rotates about a central axis. Inside the cylinder, there is a mirror on the left and right side of each aperture that reflects light rays into the cylinder from different angles. As the cylinder rotates, the light rays are admitted through the apertures and reflected from …

Redirected Walking For Cord Management, Josh Weaver

Defensive Publications Series

A player immersed in a virtual reality environment often interacts with a virtual reality scene while he is physically located in a virtual reality room. The player typically views the scene through a head-mounted display, which is connected to a host device or a network port via a communicative cord. When interacting with the virtual reality scene, the player may physically change and rotate his position in the virtual reality room in response to what is being displayed as part of the virtual reality scene. As a result, the communicative cord can wrap around and become entangled with itself or …

Cylindrical User Interface With Infinite Scrolling, Michael Alger

Defensive Publications Series

Techniques are described that enable a cylindrical user interface with infinite scrolling. The cylindrical user interface enables a user to scroll through content that is arranged in a self-refreshing loop around the user. The user may remain stationary and rotate the cylinder to view and select content. As the content circles the user, already-viewed content is temporarily destroyed behind the user and new content is provided, allowing the user to scroll in one direction and have new content continuously presented. In other implementation, the user can turn around in the center of the cylinder and as the user makes a …

Location Assisted Network Search Algorithm For Mobile Devices, Ming Sun

Defensive Publications Series

Standby power consumption of a mobile device is an important component of its overall power consumption. During standby, mobile devices periodically wake up to communicate with the network to exchange information pertaining to serving base stations, neighboring base stations, etc. which consumes power without any actual call or data activity. This disclosure describes techniques to reduce the standby power consumption of a mobile device. Location (latitude and longitude) information derived from a geolocation receiver such as GPS, GLONASS, or BeiDou is used by the mobile device to modify the frequency for performing network search, e.g., the frequency of network search …

Systems And Methods For Performing Geo-User Content Provision Experiments, Penelope Chu, Wiesner Vos, Henry Jackson, Ashish Saxena, James Koehler

Defensive Publications Series

Systems, methods, and computer-readable storage media that may be used to conduct geo-user advertising experiments. One method includes determining a set of content items and filtering an activity log based on one or more characteristics of the set of content items to determine a subset of users. The method further includes retrieving geo-based data from the subset of users over a first timeframe. The method further includes designating one or more geographic regions associated with the subset of users as a treatment group and one or more geographic regions associated with the subset of users as a control group. The …

Automated Network Component Drain Management, N/A

Defensive Publications Series

Network management requires quick and efficient draining of links and other network components during maintenance operations. This disclosure describes an automated network drain service that allows users to perform the task of draining of links and other network components while also providing network-wide visibility into the actions undertaken. The service includes a live topology service, a network removal tool, a resolution tool, a workflow execution service, a network state recalculation service, and a traffic monitoring service.

Notification Presentation Across Multiple Devices, N/A

Defensive Publications Series

Systems, methods and computer readable media for notification delivery to multiple devices are described. The format, content and any actionable presentation features of notification messages can be tailored for each device associated with a user’s account. The tailored notification messages can then be delivered to each corresponding device. The notification messages can include actionable user interface items (or elements) that are tailored to receive input in a form appropriate for each device based on device capabilities. Also, the notifications can be tailored based on priority, where the priority tailoring is also based on device capability. Low-priority notification messages can be …

Notification Platform, N/A

Defensive Publications Series

Systems, methods and computer readable media for notification platforms are described. Some implementations can include a method. A method can include receiving one or more notification messages and determining at least one recipient associated with each notification message. The method can also include generating a social affinity score for each notification message. The method can further include ranking the notification messages for each recipient based on the social affinity score of each notification message and delivering the notification messages to each recipient according to the rank for each notification message. The method can also include determining that a notification is …

Automatic Creation Of Communication Channels Around Detected Events, N/A

Defensive Publications Series

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for receiving user data, the user data including digital content generated by one or more users of one or more computer-implemented services, detecting, based on the user data, an occurrence of an event, identifying a plurality of users associated with the event, generating a communication channel based on the detected event, the communication channel providing a distribution for sending digital content, adding user identifiers to the communication channel, each user identifier being associated with a user of the plurality of users, and distributing digital content associated with …

Identifying Impaired State For A Driver, Catherine Cardinal, Cliff Sze

Defensive Publications Series

Generally, the present disclosure is directed to improving driver safety by identifying impaired drivers. In particular, in some implementations, the systems and methods of the present disclosure can include or otherwise leverage one or more machine-learned models to predict a driver’s impairment state based on driving data.

Determining High-Level Topical Annotations For A Conversation, N/A

Defensive Publications Series

Generally, the present disclosure is directed to annotating a conversation with high-level topical annotations. In particular, in some implementations, the systems and methods of the present disclosure can include or otherwise leverage one or more machine-learned models to predict topical annotations for a conversation based on audio data from the conversation.

Determining Projection Format For A Video, N/A

Defensive Publications Series

Generally, the present disclosure is directed to determining one or more projection formats for a video. In particular, in some implementations, the systems and methods of the present disclosure can include or otherwise leverage one or more machine-learned models to predict a projection format for a segment of a video based on image data extracted from the video.

Recommending Items For Deletion Based On Item Quality And Usage, N/A

Defensive Publications Series

Generally, the present disclosure is directed to recommending items stored in a data storage system for deletion. In particular, in some implementations, the systems and methods of the present disclosure can include or otherwise leverage one or more machine-learned models to predict a likelihood of deletion for an item based on item data and user interaction data for one or more items.

Using Customer Support Interaction Data To Estimate Customer Satisfaction, N/A

Defensive Publications Series

Generally, the present disclosure is directed to using customer support interaction data to estimate customer satisfaction. In particular, in some implementations, the systems and methods of the present disclosure can include or otherwise leverage one or more machine-learned models to predict a customer satisfaction score based on customer interaction data.

Determining Priority Value Of Processes Based On Usage History, Neil Dhillon, Tanmay Wadhwa

Defensive Publications Series

Generally, the present disclosure is directed to determining optimal priority values for one or more processes in a computing system. In particular, in some implementations, the systems and methods of the present disclosure can include or otherwise leverage one or more machine-learned models to predict an optimal priority value for a process based on system data and/or process data.

Semi-Supervised Classification Using Object Metadata, Dave Feltenberger

Defensive Publications Series

Generally, the present disclosure is directed to classification of data objects (e.g. documents, images, graphs, etc.). In particular, in some implementations, the systems and methods of the present disclosure can include or otherwise leverage one or more machine-learned models to classify a data object based on object data and/or metadata associated with the object.

Optimizing Route Guidance To Preserve User Loyalty, Thomas Price

Defensive Publications Series

Generally, the present disclosure is directed to optimizing route guidance in a navigation or ride share service to preserve user loyalty. In particular, in some implementations, the systems and methods of the present disclosure can include or otherwise leverage one or more machine-learned models to predict likelihood of user abandonment based on user data and/or route data.

Classifying A User As Driver Or Passenger In A Vehicle Using Machine Learning, Thomas Price

Defensive Publications Series

Generally, the present disclosure is directed to classifying a user as driver or passenger in a vehicle using machine learning. In particular, in some implementations, the systems and methods of the present disclosure can include or otherwise leverage one or more machine-learned models to predict a user type based on device usage data and/or device sensor data.

Determining Optimal Dimming Of Displays, N/A

Defensive Publications Series

Generally, the present disclosure is directed to dimming a display to reduce power consumption and/or improve security of a device. In particular, in some implementations, the systems and methods of the present disclosure can include or otherwise leverage one or more machine-learned models to predictively dim a display connected to a device based on usage data and/or sensor data available from the device and/or signals derived from the usage data and/or sensor data.

Weighting Knowledge Sources To Facilitate User Input, N/A

Defensive Publications Series

Generally, the present disclosure is directed to weighting one or more knowledge sources used to determine user input. In particular, in some implementations, the systems and methods of the present disclosure can include or otherwise leverage one or more machine-learned models to predict a weight for a knowledge source based on user input data and/or output of one or more knowledge sources.

Learning Weights For Smart Navigation Planning, N/A

Defensive Publications Series

Generally, the present disclosure is directed to learning costs or weights associated with elements used in navigation planning. In particular, in some implementations, the systems and methods of the present disclosure can include or otherwise leverage one or more machine-learned models to predict a travel cost or weight associated with an element based on properties of the element and/or time data and/or weather data.

Routing Audio Output To Provide Inadvertently Muted Audio Output To A User, N/A

Defensive Publications Series

Generally, the present disclosure is directed to routing audio output to increase the likelihood that a user hears the audio output. In particular, in some implementations, the systems and methods of the present disclosure can include or otherwise leverage one or more machine-learned models to predict an output channel for audio output based on audio output data such as connection data, audio data, and/or user interaction data.

Context-Dependent Account Selection, N/A

Defensive Publications Series

Generally, the present disclosure is directed to selecting a user account out of one or more user accounts for a user. In particular, in some implementations, the systems and methods of the present disclosure can include or otherwise leverage one or more machine-learned models to predict a user account for a user based on context data.

Electronic Document Navigation Assistance Using Markings And/Or Non-Uniform Scrolling, N/A

Defensive Publications Series

Generally, the present disclosure is directed to assisting in navigation within an electronic document. In particular, in some implementations, the systems and methods of the present disclosure can include or otherwise leverage one or more machine-learned models to predict a location within an electronic document to be marked based on user interaction with the electronic document.

Retrospective User Input Inference And Correction, N/A

Defensive Publications Series

Generally, the present disclosure is directed to retrospective user input inference and/or correction. In particular, in some implementations, the systems and methods of the present disclosure can include or otherwise leverage one or more machine-learned models to predict intended user input based on actual user input.

Machine Learning To Dissipate A Cyclone, N/A

Defensive Publications Series

Generally, the present disclosure is directed to using machine learning to dissipate or otherwise combat a cyclone. In particular, in some implementations, the systems and methods of the present disclosure can include or otherwise leverage one or more machine-learned models to predict characteristics of a cyclone (or infant cyclone which can be referred to as a cyclet) such as location, path, strength, number of anti-cyclone devices needed to combat the cyclone, positioning of the anti-cyclone devices, etc. based on information descriptive of the cyclone including imagery of the cyclone or other collected data such as, for example, wind speed and …