Abstract: Methods and systems are disclosed herein for a media guidance application that provides content recommendations based on recent activity. For example, the media guidance application determines that the user has stopped using the first device and is using the second device. In response, the media guidance application retrieves, from memory, a length of time that the user has consumed media on the first device. The media guidance application then determines the time interval when the user was consuming media on the first device. Next, media content is determined that the user consumed on the first device during the time interval. The media guidance application then determines a characteristic of the consumed media content and recommends media content on a second device based on the characteristic.

Abstract: Methods and systems are disclosed herein for a media guidance application that provides content recommendations based on recent activity. For example, the media guidance application determines that the user has stopped using the first device and is using the second device. In response, the media guidance application retrieves, from memory, a length of time that the user has consumed media on the first device. The media guidance application then determines the time interval when the user was consuming media on the first device. Next, media content is determined that the user consumed on the first device during the time interval. The media guidance application then determines a characteristic of the consumed media content and recommends media content on a second device based on the characteristic.

Abstract: Methods and systems are disclosed herein for a media guidance application that provides content recommendations based on recent activity. For example, the media guidance application determines that the user has stopped using the first device and is using the second device. In response, the media guidance application retrieves, from memory, a length of time that the user has consumed media on the first device. The media guidance application then determines the time interval when the user was consuming media on the first device. Next, media content is determined that the user consumed on the first device during the time interval. The media guidance application then determines a characteristic of the consumed media content and recommends media content on a second device based on the characteristic.

Abstract: Methods and systems are disclosed herein for a media guidance application that provides content recommendations based on recent activity. For example, the media guidance application determines that the user has stopped using the first device and is using the second device. In response, the media guidance application retrieves, from memory, a length of time that the user has consumed media on the first device. The media guidance application then determines the time interval when the user was consuming media on the first device. Next, media content is determined that the user consumed on the first device during the time interval. The media guidance application then determines a characteristic of the consumed media content and recommends media content on a second device based on the characteristic.

Abstract: Methods and systems are disclosed herein for a media guidance application that provides content recommendations based on recent activity. For example, the media guidance application determines that the user has stopped using the first device and is using the second device. In response, the media guidance application retrieves, from memory, a length of time that the user has consumed media on the first device. The media guidance application then determines the time interval when the user was consuming media on the first device. Next, media content is determined that the user consumed on the first device during the time interval. The media guidance application then determines a characteristic of the consumed media content and recommends media content on a second device based on the characteristic.

Abstract: Methods and systems are disclosed herein for a media guidance application that provides content recommendations based on recent activity. For example, the media guidance application determines that the user has stopped using the first device and is using the second device. In response, the media guidance application retrieves, from memory, a length of time that the user has consumed media on the first device. The media guidance application then determines the time interval when the user was consuming media on the first device. Next, media content is determined that the user consumed on the first device during the time interval. The media guidance application then determines a characteristic of the consumed media content and recommends media content on a second device based on the characteristic.

Abstract: Methods and systems are disclosed herein for a media guidance application that provides content recommendations based on recent activity. For example, the media guidance application determines that the user has stopped using the first device and is using the second device. In response, the media guidance application retrieves, from memory, a length of time that the user has consumed media on the first device. The media guidance application then determines the time interval when the user was consuming media on the first device. Next, media content is determined that the user consumed on the first device during the time interval. The media guidance application then determines a characteristic of the consumed media content and recommends media content on a second device based on the characteristic.

Abstract: Methods and systems are disclosed herein for a media guidance application that provides content recommendations based on recent activity. For example, the media guidance application determines that the user has stopped using the first device and is using the second device. In response, the media guidance application retrieves, from memory, a length of time that the user has consumed media on the first device. The media guidance application then determines the time interval when the user was consuming media on the first device. Next, media content is determined that the user consumed on the first device during the time interval. The media guidance application then determines a characteristic of the consumed media content and recommends media content on a second device based on the characteristic.

Abstract: Methods and systems are disclosed herein for a media guidance application that provides content recommendations based on recent activity. For example, the media guidance application determines that the user has stopped using the first device and is using the second device. In response, the media guidance application retrieves, from memory, a length of time that the user has consumed media on the first device. The media guidance application then determines the time interval when the user was consuming media on the first device. Next, media content is determined that the user consumed on the first device during the time interval. The media guidance application then determines a characteristic of the consumed media content and recommends media content on a second device based on the characteristic.

Abstract: Methods and systems are described herein for a media guidance application that generates for display icons on a second device, in which the icons represent options to perform one or more available media guidance application operations on a first device, and in which the options associated with the icons are selected based on the frequency of use with which the option is used on the first device.

Abstract: Methods and systems are disclosed herein for a media guidance application that provides content recommendations based on recent activity. For example, the media guidance application determines that the user has stopped using the first device and is using the second device. In response, the media guidance application retrieves, from memory, a length of time that the user has consumed media on the first device. The media guidance application then determines the time interval when the user was consuming media on the first device. Next, media content is determined that the user consumed on the first device during the time interval. The media guidance application then determines a characteristic of the consumed media content and recommends media content on a second device based on the characteristic.

Abstract: Methods and systems are disclosed herein for a media guidance application that provides content recommendations based on recent activity. For example, the media guidance application determines that the user has stopped using the first device and is using the second device. In response, the media guidance application retrieves, from memory, a length of time that the user has consumed media on the first device. The media guidance application then determines the time interval when the user was consuming media on the first device. Next, media content is determined that the user consumed on the first device during the time interval. The media guidance application then determines a characteristic of the consumed media content and recommends media content on a second device based on the characteristic.

Abstract: Methods and systems are disclosed herein for a media guidance application that provides content recommendations based on recent activity. For example, the media guidance application determines that the user has stopped using the first device and is using the second device. In response, the media guidance application retrieves, from memory, a length of time that the user has consumed media on the first device. The media guidance application then determines the time interval when the user was consuming media on the first device. Next, media content is determined that the user consumed on the first device during the time interval. The media guidance application then determines a characteristic of the consumed media content and recommends media content on a second device based on the characteristic.

Abstract: Methods and systems are disclosed herein for a media guidance application which may control a user device, which may receive a radio-frequency signal from a user device, corresponding to an electromyography signature received from a user. The media guidance application may also cross-reference the electromyography signature with first and second databases to determine an attempted user motion and a media guidance application operation corresponding to the electromyography signature. In response to determining the media guidance application operation to be performed, the media guidance application may perform said media guidance application operation on the user device.

Abstract: Methods and systems are described herein for a media guidance application that generates for display icons on a second device, in which the icons represent options to perform one or more available media guidance application operations on a first device, and in which the options associated with the icons are selected based on the frequency of use with which the option is used on the first device.