Abstract: Systems and methods are disclosed for determining portions of media assets for cooperative reception by multiple devices. The disclosed techniques herein include identifying cooperating devices that are able to communicate with a selected device for relaying portions of a media asset. For example, a group of people each travelling together in a vehicle may wish to view a media asset by cooperatively using their network resources of their smartphones to relay portions of the media asset for viewing. Network service data for each of the plurality of cooperating devices is then received. Based on the network service data, a determination is made for each cooperating device regarding reception of a respective portion of the media asset to each cooperating device. Instructions to receive and relay the respective portions of the media asset are transmitted to each cooperating device.

Abstract: A media asset may include date-related information. When viewed out of context it may be unclear what date is referenced by the date-related information. The media asset may be parsed to identify the date-related information within the media asset. The media asset may be analyzed to determine the context for the date related information. An absolute date may be determined based on this context and the date-related information and provided to the user with the media asset.

Abstract: Systems and methods are disclosed herein for monitoring light emissions in electronic devices. The disclosed techniques herein provide for determining a display duration of display devices for a user. Light emission profiles for each of the display devices are determined. A cumulative emissions exposure is determined that is based on the light emission profiles for the display devices and the display duration of the display devices for the user. A determination is made whether the cumulative emissions exposure exceeds a light emission exposure limit set for the user. In a positive determination, an instruction is transmitted to the display devices for execution of a remedial action based on predefined rules.

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 reducing distractions from nearby devices when content susceptible to interruption is being consumed. Content susceptible to interruption is determined, and when this content is consumed on one device, nearby devices are identified and their output characteristics are modified. For example, output volume of nearby devices may be reduced, or the volume of the first device may be increased. This process is repeated with different devices as they each output content determined to be susceptible to interruption. Consumers are thus presented with fewer distractions from surrounding devices while they are consuming content that is susceptible to interruption.

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: 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: A composition and method for preparing a polyurethane foam. The composition comprises at least one emission control agent. In embodiments, the composition comprises at least one emission control agent selected from the group consisting of (i) a phosphorous containing group; (ii) a thiocarbamate; (iii) a nitrogen containing compound; (iv) a phenolic antioxidant; or a combination of two or more thereof. The invention also relates to a method of controlling the emission of at least one aldehyde species in a raw material employed in the foam composition or that may be produced during the foam forming or foam curing or foam aging process.

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: Systems and methods are described for a media guidance application (e.g., implemented on a user device) that dynamically adapts network performance parameters for applications based on their respective usage likelihoods.

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 provided herein describe dynamically displaying a guide interface element for a customized period of time that is determined based on characteristics of the actual guide interface element to be displayed. In this way, when the timeout of the guide interface element is customized based on characteristics of the guide data, the duration engine allows sufficient time for the viewer to view and react to the guide interface element. Incidents of viewer re-launching of the guide interface element can thus be reduced to improve system processing efficiency and viewing experience.

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: A method of detecting establishment of a voice communication between a first voice communication equipment and a second voice communication equipment and automating requests for content. The method includes analyzing the voice communication to identify a request for content, analyzing the voice communication to identify an affirmative response to the request for content, and correlating the request for content with a first user account and correlating the affirmative response with a second user account. In response to identifying the affirmative response and based upon at least one of the first user account or the second user account, identifying from a data storage, the requested content and causing the transmission of the requested content.

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: System and methods for generating a product recommendation based on reactions such as bio-feedback of a subject during a virtual try-on session are described herein. A recommendation engine captures bio-feedback and determines whether the subject has a positive or negative attitude towards a certain feature of a product that is being virtually “tried on” with the subject. The recommendation engine can then provide a product recommendation based on the actual sentiment of the subject towards a product feature.

Abstract: Systems and methods for analyzing collaborative comments on content to create and/or modify content are disclosed herein. Each of the plurality of comments include modifying the content. Each of the plurality of comments are is analyzed to identify an action associated with each of the plurality of comments, location of the action in the content, and an owner associated with the action. Furthermore, a marker associated with the action at the identified location in the content is added.

Abstract: Methods and systems for auto-populating image metadata are described herein. The system receives or accesses an image. The system then generates a link to a video having a frame that corresponds to the image. To generate the link, the system searches for a video having a frame comprising a portion of the image and generates the link such that the link comprises a timestamp of the frame. The system then modifies the metadata of the image to include the link. Once a user interaction with the image is detected, the system may follow the link to generate for display the video beginning at the timestamp.

Abstract: Systems and methods are described herein for automatically identifying spam in social media comments based on comparison of the context or topic of the popular or trending post with the context or topic of each comment associated with the post. Content of a social media post is processed to identify a topic of the social media post. A plurality of comments associated with the social media post are accessed and the topic of each comment is compared to the topic of the social media post and, if the topics do not match, the comment is identified as spam. A notification is generated for display to an administrator of the social media platform on which the social media post resides identifying the comment as spam.

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.