Abstract: An example method includes: storing, for an account identifier representing a user account, event data for events associated with the account identifier and file data for files owned by the account identifier; tracking associations between the event data and the file data, each association representing a recorded access of a file during an event; obtaining a set of parameters for a file retrieval request; comparing the set of parameters and the associations between the event data and the file data; and selecting a recommended file for the file retrieval request based on the comparison of the set of parameters and the associations between the event data and the file data.

Abstract: In some examples, an electronic device includes a first display device and a processor. The processor determines whether the electronic device is paired with a head-mounted device comprising a second display device. In response to determining that the electronic device is paired with the head-mounted device, the processor presents first image information on the first display device, sends second image information to the head-mounted device, and coordinates with the head-mounted device to cause the head-mounted device to display the second image information on the second display device, where the first image information and the second image information are to present an aggregate view to a user of the head-mounted device.

Abstract: In some examples, an electronic device includes a first display device and a processor. The processor determines whether the electronic device is paired with a head-mounted device comprising a second display device. In response to determining that the electronic device is paired with the head-mounted device, the processor presents first image information on the first display device, sends second image information to the head-mounted device, and coordinates with the head-mounted device to cause the head-mounted device to display the second image information on the second display device, where the first image information and the second image information are to present an aggregate view to a user of the head-mounted device.

Abstract: In some examples, a head-mounted device includes an image output device, and an optical element that is alternately moveable between a first position in which a first image output by the image output device is directed by the optical element towards a first location corresponding to a right eye position, and a second position in which a second image output by the image output device is directed by the optical element towards a second location corresponding to a left eye position.

Abstract: In some examples, the disclosure describes a device that includes a first imaging device coupled to a first side of an expandable display device, a second imaging device coupled to a second side of the expandable display device, an adjustment device to alter a size of the expandable display device to alter a distance between the first imaging device and the second imaging device, and a processor to: determine the distance between the first imaging device and the second imaging device based on a position of the adjustment device, capture first image data from the first imaging device and second image data from the second imaging device at the position of the adjustment device, and generate an image utilizing the first image data, the second image data, and the distance.

Abstract: In one example in accordance with the present disclosure, a system is described. The system includes a processor to perform spatial audio processing on a received audio signal and an audio interface to connect an audio output device to a computing device. The system also includes a controller. The controller determines a spatial audio processing capability of the audio output device and disables spatial audio processing on one of the audio output device and the processor based on a determination of the spatial audio processing capability of the audio output device.

Abstract: In some examples, the disclosure describes a device that includes a first imaging device coupled to a first side of an expandable display device, a second imaging device coupled to a second side of the expandable display device, an adjustment device to alter a size of the expandable display device to alter a distance between the first imaging device and the second imaging device, and a processor to: determine the distance between the first imaging device and the second imaging device based on a position of the adjustment device, capture first image data from the first imaging device and second image data from the second imaging device at the position of the adjustment device, and generate an image utilizing the first image data, the second image data, and the distance.

Abstract: Examples of methods for media classification are described herein. In some examples, a method includes analyzing text associated with media using a first machine learning model to produce a first result. In some examples, the method includes analyzing numerical metadata associated with the media using a second machine learning model to produce a second result. In some examples, the method includes inputting the first result and the second result to a third machine learning model to determine a classification of the media.

Abstract: Flexible computing displays with configurable sizes may include an apparatus comprising a flexible computing display and a display container having a form factor to contain the flexible computing display in a rolled state. The display container may further include circuitry to communicatively couple the flexible computing display with a computing device. The apparatus may further include a friction hinge mechanism coupling the display container and the flexible computing display, the friction hinge mechanism to enable a configurable size of the flexible computing display in an unrolled state by extension of the flexible computing display from the display container.

Abstract: Examples of methods for audio session classification are described herein. In some examples, a method may include determining, at a first classification stage, whether an audio session is classifiable with predetermined criteria. In some examples, the method may include classifying, at a second classification stage, the audio session based on a machine learning analysis of metadata in a case that the audio session is not classifiable at the first classification stage.

Abstract: An example device includes a display to output a common graphical user interface (GUI) of a common application to manage communications applications. The communications applications include a first communications application that includes a first GUI. The device further includes a processor coupled to the display. The processor is to monitor an audio session state of the first communications application. The processor is further to deactivate the first GUI and activate the common GUI in response to detection of an expired state as the audio session state.

Abstract: Examples disclose a method, executable by a computing device to calculate a weight for a media based on a social relevance of the media. The social relevance includes a number of interactions with the media. Also, the examples disclose the method provides the media displayable in a manner according to the calculated weight.