Abstract: Systems and methods for debiasing a recommendation engine are disclosed herein. A search query associated with a user profile is received at a recommendation engine. Control circuitry generates a result set of items of content based on the search query and generates a bias score for a content attribute based on the result set. The control circuitry also generates a time-averaged bias score for the content attribute based on a plurality of search queries associated with the user profile. Based on the bias score and the time-averaged bias score, the control circuitry determines whether a bias is signaled for the content attribute. Finally, the control circuitry outputs, for display via a computing device, the result set or a debiased result set based on a result of the determination of whether the bias is signaled.

Abstract: The systems and methods described herein optimize the retrieval of missed content by playing back cached content to enable tuners with limited capacity to retrieve the missed content. A content presentation system may receive, with a tuner, a transmission of content comprising media content and advertisements. The content presentation system may cache the advertisements. The content presentation system may determine whether an interruption during the transmission resulted in a missed portion of content and, in response, determine whether an advertisement upcoming at a time period in the transmission of content is cached. If the upcoming advertisement is cached, the content presentation system may play back the cached advertisement at the time period and release the tuner previously receiving the transmission of content to retrieve the missed portion of the content during the time period.

Abstract: Systems and methods are disclosed for activating a personalized user profile on a device based on the detection of an outlying user input. A media guidance application detects a user input that is inconsistent with an active user profile. In response, the media guidance application identifies a candidate user that both shares a location with the device and has a user profile consistent with the user input. The media guidance application activates the user profile of the candidate user as a temporary active user profile on the device.

Abstract: Systems and methods are disclosed herein for optimizing bandwidth for broadcast transmission. The disclosed techniques herein provide for receiving first and second content for transmission to subscriber devices on a first and second channels. The system then determines whether the first and second content contain a common segment. If so, the system updates metadata schema (e.g., homogeneous channel descriptor, homogeneous switch descriptor) to indicate there is a common segment. The system may generate a transport stream during multiplexing of the first and second channels based on the updated metadata schema. The transport stream, for a time duration based on the at least one common segment, includes a first audio feed of the first content and a first video feed of the first content to be provided on the second channel. The system then transmits the transport stream to the one or more subscriber devices.

Abstract: Systems and methods for curation of content, such as e-learning content or online instructional materials, according to particular criteria such as the amount of pictorial representations contained therein, the amount of verbal expression contained therein, and whether the content contains a summary. Other criteria may also be employed. Users may select any one or more of these and other criteria. Content is then sorted according to the selected criteria and presented as an ordered list of content that users can select for viewing.

Abstract: The system receives a message having a sender and a recipient. The system identifies entities associated with the message and associated with any content that is associated with the message. The system determines whether to, and how to, modify the message based on relationship information among the sender, the recipient, and any entities identified in the message or components of the message. A relationship between a sender and recipient may be determined using, for example, a database of relationship information. The system modifies, for example, text, images, or video of the message to generate the personalized message. The personalized message include the original message along with context information to help indicate the relevance of the message to the recipient. The context information can include text, images, video, or other information. To illustrate, the context information can include keywords or identifiers that indicate entities associated with the message.

Abstract: Systems and methods are disclosed herein for determining whether a media asset intended to be recorded is actually transmitted at the time and on the source of a scheduled higher-priority recording. Should the intended media asset not be transmitted in a desirable way, or not transmitted at all, the system will instead make a recording of a lower-priority recording that would not have been made because of a conflict. The systems and methods described herein, before making a higher-priority recording, obtain a sample of the media asset included in a received transmission at a scheduled time and compare it to content associated with the media asset scheduled for recording to determine whether to record the received transmission.

Abstract: The system generates a validation tool in response to receiving an indication to initiate validation. The system identifies at least one media content item based on a user profile, and generates at least one question based on the at least one media content item. The at least one media content item may include an image, a video, text, or a combination thereof. The system determines at least one answer corresponding to the at least one question. The question and answer may be determined based on a question template. For example, the template may be selected based on attribute types or values of the at least one media content item. The system generates the at least one question for output on an output device. Upon receiving input indicative to an answer, the system compares the inputted answer to the determined answer to determine whether to validate the user.

Abstract: The system receives a message from a user, along with a recipient list and generated personalized messages for recipients of the recipient list. The system determines the format of the message, and whether to, and how to, modify the message based on information about the recipient. For example, a recipient category may be used to determine how to personalize a message for each recipient. A relationship between a sender and recipient may be determined using, for example, a database of relationship information. The system modifies, for example, text, images, or video of the message to generate the personalized message. The system may access historical communications records such as a chat group record, a contacts list, a text message record, an email message record, a social media post record, or a comments record corresponding to a media content item to determine how to personalize a message.

Abstract: The system generates a recommendation of content for use in collaboration, allowing relevant content to be used as base content. The system identifies a content item, and retrieves reviews for the content item from one or more sources or forums. The system filters the reviews to generate a reduced set of reviews based on text of the respective reviews, profile information associated with the reviews, and reference information. A recommendation metric is determined for the content item based on the reduced set of reviews and based on the one or more recommendation criteria. The recommendation criteria specify which aspects of the content impact recommendation, and how those aspects impact recommendation. The recommendation metric indicates whether the content item is recommended as base content, to be used for generating collaborative content. The system generates a recommendation indicator indicative of the recommendation metric, and outputs the indicator for display, storage, or both.

Abstract: Systems and methods for temporarily downloading an application program from a website are disclosed herein. The website provides a feature set corresponding to an anticipated user activity and a downloadable application program. The anticipated user activity is identified based on user data corresponding to future activities of a user. A correspondence between the anticipated user activity and the website is determined and the application program is retrieved from the website and installed on the user device. In response to detecting absence of a user interaction with the application program on the user device within a predefined time period, the application program is automatically uninstalled from the user device.

Abstract: Systems and methods for determining parameters of devices that may have influenced generated content, and appending values of these parameters to the generated content for the benefit of other users. Devices near the location at which the content was generated may be selected, and parameters of these devices may be retrieved. These device parameters are often relevant to the generated content. Accordingly, the retrieved parameter values may be appended to the generated content for transmission along with the content. In this manner, other users may view both the content and the parameters of nearby devices that may have influenced the setting of the content, assisting users in, for example, recreating the content or its subject matter for themselves.

Abstract: Methods and systems are described for preventing a message from being sent to an unintended recipient. A first context data structure is generated for a first conversation, a second context data structure is created for a second conversation, and then a message input is received as intended for the first conversation. The message is correlated with each of the first context data structures and the second context data structure to determine a relevance score corresponding to each of the first and second conversation. The relevance scores are compared and if the relevance score for the first conversation is greater than the relevance score for the second conversation, the message is sent; however, if the relevance score for the second conversation is greater than the relevance score for the first conversation, the message is not sent and the message is prevented from being sent to, for example, an unintended recipient.

Abstract: Systems and methods are disclosed herein for applying behavioral-based parental controls for media assets. The disclosed techniques herein discuss determining a media asset viewed by a user and character actions of a character within the media asset. Behavioral user data is received which includes a user action. A determination is made whether the user action matches one of the character actions. If a match is found, a parental control restriction setting for the media asset is applied and this parental control restriction is stored in memory.

Abstract: Systems and methods are disclosed herein for optimizing bandwidth for broadcast transmission. The disclosed techniques herein provide for receiving first and second content for transmission to subscriber devices on a first and second channels. The system then determines whether the first and second content contain a common segment. If so, the system updates metadata schema (e.g., homogeneous channel descriptor, homogeneous switch descriptor) to indicate there is a common segment. The system may generate a transport stream during multiplexing of the first and second channels based on the updated metadata schema. The transport stream, for a time duration based on the at least one common segment, includes a first audio feed of the first content and a first video feed of the first content to be provided on the second channel. The system then transmits the transport stream to the one or more subscriber devices.

Abstract: Methods and systems for curating notifications from unfollowed accounts are described herein. The system tracks that a first account previously followed a second account and subsequently unfollowed the second account. The system identifies an interest of the first account and monitors the activities of the second account for activity that matches the interest. If there is a match between the interest and an activity of the second account, the system notifies the first account of the activity. These methods and systems provide the user with relevant information from unfollowed accounts.

Abstract: Methods and systems are described for identifying and marking content items that have or have not been shared to social media or content hosting services. The methods and systems use a marking engine to access a content item in a content library and identify the content hosts or social media sites to which the content item was previously transmitted. A marking engine may create a user interface, generate a thumbnail of each content item, and generate a graphical indicator for each identified content host. A marking engine may generate for display thumbnail representations of each content item with graphical indicators of each of the identified content hosts. A marking engine may sort thumbnails by metadata associated with the corresponding content items, such as creation time and date, location, share status, and other classifications and filters, to indicate which content items are ready to be shared to a content host.

Abstract: Systems and methods are described for automatically organizing application shortcuts into folders with user-defined In names. An illustrative method includes identifying a plurality of keywords associated with folders with user-defined names on a device, identifying a keyword associated with an application being installed on the device, determining whether the key word associated with the application matches a keyword in the plurality of keywords, and in response to determining that the keyword associated with the application matches a keyword in the plurality of keywords, adding a shortcut for the application to a folder with a user-defined name corresponding to the matching keyword.

Abstract: A method for generating a content depiction of particular content that includes a machine learning system programmed to receive profile data representing preferences for content. The machine learning system identifies preferences for content features based upon the profile data, accesses content data representing the particular content and other content, and classifies features of the content data and content structure data within a content structure database system according to content categories. The machine learning system generates a content structure depiction of the particular content by combining content structure data from the content structure database system, wherein the combining is based upon correlating the identified preferences of the profile with the classified content categories. The machine learning system receives feedback data responsive to the content depiction and reprograms a configuration of the machine learning system for generating a content depiction based upon the feedback data.

Abstract: Systems and methods for temporarily downloading an application program from a website are disclosed herein. The website provides a feature set corresponding to an anticipated user activity and a downloadable application program. The anticipated user activity is identified based on user data corresponding to future activities of a user. A correspondence between the anticipated user activity and the website is determined and the application program is retrieved from the website and installed on the user device. In response to detecting absence of a user interaction with the application program on the user device within a predefined time period, the application program is automatically uninstalled from the user device.