Abstract: Methods and systems are disclosed herein for a media guidance application that recommends media content based on activities recently performed by a user. For example, in response to determining that a user recently finished the laundry, the media guidance application may recommend a movie that other users accessed after finishing the laundry.

Abstract: Systems and methods are disclosed herein for identifying users based on voice data and media consumption data. A media guidance application may generate a voice signature from the user's input and based on that signature identify some demographic characteristics of the user (e.g., age, gender, and other suitable characteristics). The media guidance application may retrieve user data for users that are associated with a household of the user and attempt to identify which of the users spoke the command. If multiple users are identified, based on the demographic characteristics, the media guidance application may use the content of the voice command (e.g., a type of media requested) to identify the user.

Abstract: Systems and methods are disclosed herein for identifying users based on voice data and media consumption data. A media guidance application may generate a voice signature from the user's input and based on that signature identify some demographic characteristics of the user (e.g., age, gender, and other suitable characteristics). The media guidance application may retrieve user data for users that are associated with a household of the user and attempt to identify which of the users spoke the command. If multiple users are identified, based on the demographic characteristics, the media guidance application may use the content of the voice command (e.g., a type of media requested) to identify the user.

Abstract: Systems and methods are described herein for determining a level of user engagement based on user interactions. A media guidance application is configured to retrieve a first record of a first plurality of user inputs, including input type, received during consumption of a media asset. A second time interval, prior to the first time interval, is selected by shifting the first start time and the first end time. A second record of a second plurality of user inputs received during the second time interval, including input type, is retrieved. A first media asset consumed during the first time interval and a second media asset consumed during the second time interval are determined, and the level of user engagement for the first media asset is determined based on the first record and the second record.

Abstract: Systems and methods are provided herein for automatically generating universal metadata for non-linear content when the non-linear content is determined to be viral. To this end, the systems and methods determine a first rate at which first users are consuming non-linear content from a first source. In response to determining that the first rate exceeds the threshold, the systems and methods determine a second source that from which second users are consuming the non-linear content, and a second rate at which the second users are consuming the non-linear content from the second source. In response to determining that the second rate exceeds the threshold, the systems and methods generate universal metadata for the non-linear content by automatically populating metadata fields of by scraping metadata fitting predefined criteria corresponding to the metadata fields from the first source and from the second source, and store the populated metadata fields to a database.

Abstract: Systems and methods are provided for intelligently accessing media content based on rights. This may be accomplished by a media guidance application that generates a DRM score associated with a first copy of the media asset. The media guidance application determines that plurality of alternative copies of a media asset are available from other sources and determines DRM scores for the alternative copies. The media guidance application determines that one of the alternative copies has a lower digital rights management score as compared to the first copy of the media asset and stores the alternative copy instead of the first copy of the media asset.

Abstract: Systems and methods are described herein for determining a level of user engagement based on user interactions. A media guidance application is configured to retrieve a first record of a first plurality of user inputs, including input type, received during consumption of a media asset. A second time interval, prior to the first time interval, is selected by shifting the first start time and the first end time. A second record of a second plurality of user inputs received during the second time interval, including input type, is retrieved. A first media asset consumed during the first time interval and a second media asset consumed during the second time interval are determined, and the level of user engagement for the first media asset is determined based on the first record and the second record.

Abstract: Systems and methods are provided herein for automatically generating universal metadata for non-linear content when the non-linear content is determined to be viral. To this end, the systems and methods determine a first rate at which first users are consuming non-linear content from a first source. In response to determining that the first rate exceeds the threshold, the systems and methods determine a second source that from which second users are consuming the non-linear content, and a second rate at which the second users are consuming the non-linear content from the second source. In response to determining that the second rate exceeds the threshold, the systems and methods generate universal metadata for the non-linear content by automatically populating metadata fields of by scraping metadata fitting predefined criteria corresponding to the metadata fields from the first source and from the second source, and store the populated metadata fields to a database.

Abstract: Systems and methods are provided for intelligently accessing media content based on rights. This may be accomplished by a media guidance application that generates a DRM score associated with a first copy of the media asset. The media guidance application determines that plurality of alternative copies of a media asset are available from other sources and determines DRM scores for the alternative copies. The media guidance application determines that one of the alternative copies has a lower digital rights management score as compared to the first copy of the media asset and stores the alternative copy instead of the first copy of the media asset.

Abstract: Systems and methods are described herein for determining a level of user engagement based on user interactions. A media guidance application is configured to retrieve a first record of a first plurality of user inputs, including input type, received during consumption of a media asset. A second time interval, prior to the first time interval, is selected by shifting the first start time and the first end time. A second record of a second plurality of user inputs received during the second time interval, including input type, is retrieved. A first media asset consumed during the first time interval and a second media asset consumed during the second time interval are determined, and the level of user engagement for the first media asset is determined based on the first record and the second record.

Abstract: Systems and methods are provided herein for automatically generating universal metadata for non-linear content when the non-linear content is determined to be viral. To this end, the systems and methods determine a first rate at which first users are consuming non-linear content from a first source. In response to determining that the first rate exceeds the threshold, the systems and methods determine a second source that from which second users are consuming the non-linear content, and a second rate at which the second users are consuming the non-linear content from the second source. In response to determining that the second rate exceeds the threshold, the systems and methods generate universal metadata for the non-linear content by automatically populating meta-data fields of by scraping metadata fitting predefined criteria corresponding to the metadata fields from the first source and from the second source, and store the populated metadata fields to a database.

Abstract: Systems and methods are provided herein for automatically generating universal metadata for non-linear content when the non-linear content is determined to be viral. To this end, the systems and methods determine a first rate at which first users are consuming non-linear content from a first source. In response to determining that the first rate exceeds the threshold, the systems and methods determine a second source that from which second users are consuming the non-linear content, and a second rate at which the second users are consuming the non-linear content from the second source. In response to determining that the second rate exceeds the threshold, the systems and methods generate universal metadata for the non-linear content by automatically populating metadata fields of by scraping metadata fitting predefined criteria corresponding to the metadata fields from the first source and from the second source, and store the populated metadata fields to a database.

Abstract: Systems and methods are described herein for determining a level of user engagement based on user interactions. A media guidance application is configured to retrieve a first record of a first plurality of user inputs, including input type, received during consumption of a media asset. A second time interval, prior to the first time interval, is selected by shifting the first start time and the first end time. A second record of a second plurality of user inputs received during the second time interval, including input type, is retrieved. A first media asset consumed during the first time interval and a second media asset consumed during the second time interval are determined, and the level of user engagement for the first media asset is determined based on the first record and the second record.

Abstract: Systems and methods are provided herein for identifying viewers who are engaged in a media asset but unlikely to consume secondary content, and presenting, to the identified viewers, some secondary content designed to incentivize the identified viewers to consume secondary content. These systems and methods determine that a viewer is engaged in a media asset upon determining level of engagement of the viewer in the media asset is greater than a threshold value. These systems and methods determine that the viewer is unlikely to consume secondary content upon determining level of engagement of the viewer in secondary content is less than a threshold value. These systems and methods, upon determining that the viewer is engaged in the media asset but unlikely to consume secondary content, generate for display secondary content related to the media asset during breaks in the media asset.

Abstract: Systems and methods are disclosed herein for identifying users based on voice data and media consumption data. A media guidance application may generate a voice signature from the user's input and based on that signature identify some demographic characteristics of the user (e.g., age, gender, and other suitable characteristics). The media guidance application may retrieve user data for users that are associated with a household of the user and attempt to identify which of the users spoke the command. If multiple users are identified, based on the demographic characteristics, the media guidance application may use the content of the voice command (e.g., a type of media requested) to identify the user.

Abstract: Systems and methods are described herein for efficiently providing personalized search results to a user. Personalized search allows a user to receive search results that are most relevant to that user. For example, when a user with a strong interest in rap searches for “50 cent” they may be presented with top search results corresponding to 50 Cent's rap albums. Conversely, when a coin collector searches for “50 cent” they may be presented with top search results containing antique coins.

Abstract: Systems and methods are provided herein for automatically generating universal metadata for non-linear content when the non-linear content is determined to be viral. To this end, the systems and methods determine a first rate at which first users are consuming non-linear content from a first source. In response to determining that the first rate exceeds the threshold, the systems and methods determine a second source that from which second users are consuming the non-linear content, and a second rate at which the second users are consuming the non-linear content from the second source. In response to determining that the second rate exceeds the threshold, the systems and methods generate universal metadata for the non-linear content by automatically populating metadata fields of by scraping metadata fitting predefined criteria corresponding to the metadata fields from the first source and from the second source, and store the populated metadata fields to a database.

Abstract: Systems and methods are provided herein for identifying viewers who are engaged in a media asset but unlikely to consume secondary content, and presenting, to the identified viewers, some secondary content designed to incentivize the identified viewers to consume secondary content. These systems and methods determine that a viewer is engaged in a media asset upon determining level of engagement of the viewer in the media asset is greater than a threshold value. These systems and methods determine that the viewer is unlikely to consume secondary content upon determining level of engagement of the viewer in secondary content is less than a threshold value. These systems and methods, upon determining that the viewer is engaged in the media asset but unlikely to consume secondary content, generate for display secondary content related to the media asset during breaks in the media asset.

Abstract: Systems and methods are described herein for efficiently providing personalized search results to a user. Personalized search allows a user to receive search results that are most relevant to that user. For example, when a user with a strong interest in rap searches for “50 cent” they may be presented with top search results corresponding to 50 Cent's rap albums. Conversely, when a coin collector searches for “50 cent” they may be presented with top search results containing antique coins.

Abstract: Systems and methods are disclosed herein for identifying users based on voice data and media consumption data. A media guidance application may generate a voice signature from the user's input and based on that signature identify some demographic characteristics of the user (e.g., age, gender, and other suitable characteristics). The media guidance application may retrieve user data for users that are associated with a household of the user and attempt to identify which of the users spoke the command. If multiple users are identified, based on the demographic characteristics, the media guidance application may use the content of the voice command (e.g., a type of media requested) to identify the user.