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 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: 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 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: Methods and systems are described for identifying a non-focus area of a content item and overlaying another content item onto the non-focus area. A first content item is received. The first content item includes a plurality of frames. A non-focus area of first frame of the first content item is identified. A second content item is overlaid onto the non-focus area of the first frame of the first content. A different non-focus area of a second frame of the second frame of the first content item. As such, the methods and systems provide for additional content that fits into non-focus portions of the content without obscuring portions of the content intended, for example, to attract attention of an audience.

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: Systems and methods are disclosed herein for providing a recommendation to modify deficient a deficient content item. A plurality of content items associated with a topic is retrieved. Each of the content items includes a plurality of portions each associated with a respective sub-topic. A rating for each sub-topic of the content items is calculated, and a minimum viable subset of the sub-topics is identified based on the calculated ratings. A new content item associated with the topic is accessed. A plurality of portions of the new content item is identified and a sub-topic for each identified portion is determined. An omitted sub-topic of the minimum viable subset of the sub-topics that is not included in the sub-topics of the new content item is identified, and the system interrupts upload of the new content and recommends modifying the new content item to include a portion with the omitted sub-topic.

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 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: 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: 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 described herein for automatically identifying spam in social media comments based on a comparison of the content of a particular comment on a popular or trending post with content of other comments on the same or other popular or trending posts on the same or other social media platforms. Comments associated with each post are compared to determine whether content of a comment associated with one post is similar to, or matches, content associated with another post of a different trending topic. In response to determining that the content of a comment associated with one post is similar to the content of a comment associated with another post, the two comments are identified as spam, and a notification is generated for display to an administrator of the social media platform identifying the two comments as spam.

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: 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: 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 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: 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: 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: 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: 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.