Abstract: Methods and systems are provided for generating automatic program recommendations based on user interactions. In some embodiments, control circuitry processes verbal data received during an interaction between a user of a user device and a person with whom the user is interacting. The control circuitry analyzes the verbal data to automatically identify a media asset referred to during the interaction by at least one of the user and the person with whom the user is interacting. The control circuitry adds the identified media asset to a list of media assets associated with the user of the user device. The list of media assets is transmitted to a second user device of the user.

Abstract: Disclosed herein are example techniques for multimedia experience based on biometric data. An example implementation may involve receiving first biometric data representing one or more first biological characteristics of an individual. After receiving the first biometric data, the example implementation may involve correlating the one or more first biological characteristics of the individual with a listening state of the individual. The example implementation may further involve receiving second biometric data representing one or more second biological characteristics of the individual. After receiving the second biometric data, the example implementation may involve determining that the one or more second biological characteristics corresponds to the one or more first biological characteristics.

Abstract: Disclosed herein are example techniques for multimedia experience based on biometric data. An example implementation may involve receiving first biometric data representing one or more first biological characteristics of an individual. After receiving the first biometric data, the example implementation may involve correlating the one or more first biological characteristics of the individual with a listening state of the individual. The example implementation may further involve receiving second biometric data representing one or more second biological characteristics of the individual. After receiving the second biometric data, the example implementation may involve determining that the one or more second biological characteristics corresponds to the one or more first biological characteristics.

Abstract: Methods and systems are provided for generating automatic program recommendations based on user interactions. In some embodiments, control circuitry processes verbal data received during an interaction between a user of a user device and a person with whom the user is interacting. The control circuitry analyzes the verbal data to automatically identify a media asset referred to during the interaction by at least one of the user and the person with whom the user is interacting. The control circuitry adds the identified media asset to a list of media assets associated with the user of the user device. The list of media assets is transmitted to a second user device of the user.

Abstract: Methods and systems are provided for generating automatic program recommendations based on user interactions. In some embodiments, control circuitry processes verbal data received during an interaction between a user of a user device and a person with whom the user is interacting. The control circuitry analyzes the verbal data to automatically identify a media asset referred to during the interaction by at least one of the user and the person with whom the user is interacting. The control circuitry adds the identified media asset to a list of media assets associated with the user of the user device. The list of media assets is transmitted to a second user device of the user.

Abstract: Disclosed herein are example techniques for multimedia experience based on biometric data. An example implementation may involve receiving first biometric data representing one or more first biological characteristics of an individual. After receiving the first biometric data, the example implementation may involve correlating the one or more first biological characteristics of the individual with a listening state of the individual. The example implementation may further involve receiving second biometric data representing one or more second biological characteristics of the individual. After receiving the second biometric data, the example implementation may involve determining that the one or more second biological characteristics corresponds to the one or more first biological characteristics.

Abstract: Disclosed herein are example techniques for multimedia experience based on biometric data. An example implementation may involve receiving first biometric data representing one or more first biological characteristics of an individual. After receiving the first biometric data, the example implementation may involve correlating the one or more first biological characteristics of the individual with a listening state of the individual. The example implementation may further involve receiving second biometric data representing one or more second biological characteristics of the individual. After receiving the second biometric data, the example implementation may involve determining that the one or more second biological characteristics corresponds to the one or more first biological characteristics.

Abstract: Methods and systems are provided for generating automatic program recommendations based on user interactions. In some embodiments, control circuitry processes verbal data received during an interaction between a user of a user device and a person with whom the user is interacting. The control circuitry analyzes the verbal data to automatically identify a media asset referred to during the interaction by at least one of the user and the person with whom the user is interacting. The control circuitry adds the identified media asset to a list of media assets associated with the user of the user device. The list of media assets is transmitted to a second user device of the user.

Abstract: Methods and systems are provided for generating automatic program recommendations based on user interactions. In some embodiment, control circuitry processes verbal data received during an interaction between a user of a user device and a person with whom the user is interacting. The control circuitry analyzes the verbal data to automatically identify a media asset referred to during the interaction by at least one of the user and the person with whom the user is interacting. The control circuitry adds the identified media asset to a list of media assets associated with the user of the user device. The list of media assets is transmitted to a second user device of the user.

Abstract: Methods and systems for a media guidance application that can identify and display a portion of a media asset that is of interest to a user. In some embodiments, the media guidance application may extract a portion of the media asset that encompasses a particular main action sequence. The extracted portion may also include an amount of additional content (e.g., content immediately before or after the main action sequence) that the media guidance application determines is necessary for the user to understand the main action sequence. In some embodiments, the media guidance application may extract several media assets, so that a user may graze through the extracted portions in series.

Abstract: Methods and systems are provided for generating automatic program recommendations based on user interactions. In some embodiment, control circuitry processes verbal data received during an interaction between a user of a user device and a person with whom the user is interacting. The control circuitry analyzes the verbal data to automatically identify a media asset referred to during the interaction by at least one of the user and the person with whom the user is interacting. The control circuitry adds the identified media asset to a list of media assets associated with the user of the user device. The list of media assets is transmitted to a second user device of the user.

Abstract: Disclosed herein are example techniques for multimedia experience based on biometric data. An example implementation may involve receiving first biometric data representing one or more first biological characteristics of an individual. After receiving the first biometric data, the example implementation may involve correlating the one or more first biological characteristics of the individual with a listening state of the individual. The example implementation may further involve receiving second biometric data representing one or more second biological characteristics of the individual. After receiving the second biometric data, the example implementation may involve determining that the one or more second biological characteristics corresponds to the one or more first biological characteristics.

Abstract: Methods and systems are provided for generating automatic program recommendations based on user interactions. In some embodiments, control circuitry processes verbal data received during an interaction between a user of a user device and a person with whom the user is interacting. The control circuitry analyzes the verbal data to automatically identify a media asset referred to during the interaction by at least one of the user and the person with whom the user is interacting. The control circuitry adds the identified media asset to a list of media assets associated with the user of the user device. The list of media assets is transmitted to a second user device of the user.

Abstract: Methods and systems are provided for generating automatic program recommendations based on user interactions. In some embodiments, control circuitry processes verbal data received during an interaction between a user of a user device and a person with whom the user is interacting. The control circuitry analyzes the verbal data to automatically identify a media asset referred to during the interaction by at least one of the user and the person with whom the user is interacting. The control circuitry adds the identified media asset to a list of media assets associated with the user of the user device. The list of media assets is transmitted to a second user device of the user.

Abstract: Methods and systems are provided for generating automatic program recommendations based on user interactions. In some embodiments, control circuitry processes verbal data received during an interaction between a user of a user device and a person with whom the user is interacting. The control circuitry analyzes the verbal data to automatically identify a media asset referred to during the interaction by at least one of the user and the person with whom the user is interacting. The control circuitry adds the identified media asset to a list of media assets associated with the user of the user device. The list of media assets is transmitted to a second user device of the user.

Abstract: Systems and methods are described for providing content recommendations by maintaining preference values indicative of a user's preference (e.g., degree of like or dislike) for different assets and updating these preference values based on observed events and known relationships between events and content elements. Also disclosed herein are systems and methods for providing content recommendations using polarity scores, which represent how much user preferences for certain content differ from the average user preference for that content.

Abstract: Systems and methods for presenting user-generated content in as easily accessible manner using an interactive media guide are provided. In particular, a user may be able to peruse user-generated content through an interactive media guide which is also used to access non-user-generated media content such as linear programming (e.g., over-the-air broadcast, cable, and satellite scheduled programming) and on-demand media. The interactive media guide may include a provider of user-generated content populated with user-generated content according to the user's interests or most recently added to the provider.

Abstract: Methods and systems are provided for generating automatic program recommendations based on user interactions. In some embodiments, control circuitry processes verbal data received during an interaction between a user of a user device and a person with whom the user is interacting. The control circuitry analyzes the verbal data to automatically identify a media asset referred to during the interaction by at least one of the user and the person with whom the user is interacting. The control circuitry adds the identified media asset to a list of media assets associated with the user of the user device. The list of media assets is transmitted to a second user device of the user.

Abstract: Methods and systems are provided for generating automatic program recommendations based on user interactions. In some embodiments, control circuitry processes verbal data received during an interaction between a user of a user device and a person with whom the user is interacting. The control circuitry analyzes the verbal data to automatically identify a media asset referred to during the interaction by at least one of the user and the person with whom the user is interacting. The control circuitry adds the identified media asset to a list of media assets associated with the user of the user device. The list of media assets is transmitted to a second user device of the user.

Abstract: Systems and methods for presenting user-generated content in as easily accessible manner using an interactive media guide are provided. In particular, a user may be able to peruse user-generated content through an interactive media guide which is also used to access non-user-generated media content such as linear programming (e.g., over-the-air broadcast, cable, and satellite scheduled programming) and on-demand media. The interactive media guide may include a provider of user-generated content populated with user-generated content according to the user's interests or most recently added to the provider.