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.

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: 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 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 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: 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 for automatically organizing application shortcuts into folders with user-defined 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 keyword 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: 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: Systems and methods are provided for automatically performing an action based on video content. One example method includes receiving, at a first computing device, a video and determining, with a content determination engine, content of the video. An action to perform at the first computing device and/or at a second computing device is generated, based on the content of the video. If the action is to be performed at the second computing device, the action is transmitted to the second computing device. The action is performed at the respective first and/or second computing device.

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 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: Systems and methods are described for enhancing a social media post with a content item. An illustrative method includes receiving a social media post; extracting, from the social media post, a first content item; identifying, in a frame of the first content item, a portion of the frame that is a non-focus portion; identifying a plurality of content items that fit within the non-focus portion; identifying a content preference of an audience of the social media post; determining an estimated length of time that the audience will view the social media post; selecting a second content item, from the plurality of content items, that matches the content preference of the audience and has a duration that does not exceed the estimated length of time; generating an enhanced social media post by overlaying the second content item onto the non-focus portion; and generating for display the enhanced social media post.

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 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 for reducing interference between content play and video recording among multiple devices located proximate to each other. Microphones of devices recording video are muted, or content play is interrupted, according to the actions of a majority of nearby devices. For example, if most devices are recording video, content play may be interrupted to prevent the video from unintentionally recording unwanted sounds from play of the content. Conversely, if most devices are not recording video, only those devices which are may have their microphones muted. Actions to reduce interference may be taken according to the current behavior of a majority of proximate devices.

Abstract: Systems and methods for displaying primary content without any overlaid secondary content, and instead transmitting the secondary content to the viewer as a message through another communication channel. For example, a news banner is removed from display on a viewer’s television, and the text of the news banner is encapsulated in a message sent to the viewer’s primary social media account. In this manner, the viewer may watch the primary content uninterrupted by the secondary content, and is thus presented with fewer distractions and a potentially more enjoyable viewing experience.

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: 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: 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.