Abstract: Disclosed are various embodiments for identifying items that may achieve success and/or popularity. An approval user interface element can be associated with an item in a content page. Approval indications that correspond to user interactions with the approval user interface elements are obtained. An item score is maintained and adjusted based at least upon the approval indications received. The adjustment to the item score is based upon a number of received approval indications and/or a reputation score of users to which the approval indications correspond.

Abstract: Approaches to enable a computing device, such as a phone or tablet computer, to use sensor information obtained from sensors of the computing device to interpret one or more gestures and/or other input provided by the user. In particular, the computing device may use information about the movement of the device gathered from an accelerometer or gyroscope in combination with input data detected by the touch screen or cameras of the device in order to disambiguate between several different types of gestures for the device.

Abstract: Approaches in accordance with various embodiments attempt to provide a user with less disruptive event notifications by being aware of a user's context. Before a notification is sent to multiple computing devices associated with the notifying account, contextual information for each device is determined. The contextual information can be determined by querying each device for information. The information can include how close each device is relative to other devices associated with the same user, if at least one of the devices is moving, whether the user's attention is focused on a particular device, whether the user is engaging multiple devices simultaneously, and the like. Once contextual information associated with each device is determined, an appropriate type of alert associated with the notification is determined for each device.

Abstract: Disclosed are various embodiments for providing proximity-based product recommendations. A computing device detects an interaction between a product and a user. The computing device provides to the user a recommendation of another product, based at least in part on proximity between the another product and the location of the product in the detected product interaction.

Abstract: Approaches in accordance with various embodiments attempt to provide a user with less disruptive event notifications by being aware of a user's context. Before a notification is sent to multiple computing devices associated with the notifying account, contextual information for each device is determined. The contextual information can be determined by querying each device for information. The information can include how close each device is relative to other devices associated with the same user, if at least one of the devices is moving, whether the user's attention is focused on a particular device, whether the user is engaging multiple devices simultaneously, and the like. Once contextual information associated with each device is determined, an appropriate type of alert associated with the notification is determined for each device.

Abstract: Approaches in accordance with various embodiments attempt to provide a user with less disruptive event notifications by being aware of a user's context. Before a notification is sent to multiple computing devices associated with the notifying account, contextual information for each device is determined. The contextual information can be determined by querying each device for information. The information can include how close each device is relative to other devices associated with the same user, if at least one of the devices is moving, whether the user's attention is focused on a particular device, whether the user is engaging multiple devices simultaneously, and the like. Once contextual information associated with each device is determined, an appropriate type of alert associated with the notification is determined for each device.

Abstract: Approaches in accordance with various embodiments attempt to provide a user with less disruptive event notifications by being aware of a user's context. Before a notification is sent to multiple computing devices associated with the notifying account, contextual information for each device is determined. The contextual information can be determined by querying each device for information. The information can include how close each device is relative to other devices associated with the same user, if at least one of the devices is moving, whether the user's attention is focused on a particular device, whether the user is engaging multiple devices simultaneously, and the like. Once contextual information associated with each device is determined, an appropriate type of alert associated with the notification is determined for each device.

Abstract: Approaches to enable a computing device, such as a phone or tablet computer, to use sensor information obtained from sensors of the computing device to interpret one or more gestures and/or other input provided by the user. In particular, the computing device may use information about the movement of the device gathered from an accelerometer or gyroscope in combination with input data detected by the touch screen or cameras of the device in order to disambiguate between several different types of gestures for the device.

Abstract: Approaches in accordance with various embodiments attempt to provide a user with less disruptive event notifications by being aware of a user's context. Before a notification is sent to multiple computing devices associated with the notifying account, contextual information for each device is determined. The contextual information can be determined by querying each device for information. The information can include how close each device is relative to other devices associated with the same user, if at least one of the devices is moving, whether the user's attention is focused on a particular device, whether the user is engaging multiple devices simultaneously, and the like. Once contextual information associated with each device is determined, an appropriate type of alert associated with the notification is determined for each device.