Methods, systems, and devices for providing in-flight communication sessions. In some examples, a communication session delivery system may provide network access service or other types of content once a passenger has completed a brand interaction. The brand interaction may be any number of options that a brand partner may require in exchange for access to content. The communication session delivery system may choose from a plurality of reward offers and then display the chosen offers to a passenger. The chosen offers may be selected based on profile information of a passenger and characteristics targeted by a brand partner. The passenger may then choose an offer and perform the required brand interaction. Once the brand interaction has been verified, the passenger may receive the reward associated with the offer.

Content items are provided to users and their interactions with the provided content items are recorded in respective user profiles. The users' interactions thus recorded over time are analyzed to determine if the users have a balanced information intake. A reading habit score is determined for a user based various criteria. The user's reading habit score is analyzed to determine if the user's habits indicate a balance in the user's content consumption. If the user's reading habit score indicates an imbalance in the user's content consumption, suggestions are provided to the user for achieving a more balanced reading habit and thereby improving the user's reading habit score.

In accordance with disclosed embodiments, there are provided methods, systems, and apparatuses for aggregating social network feed information including, for example, means for receiving user activity data from one or more social networks; parsing the user activity data to render a plurality of targeting parameters culled from the user activity data; matching one or more of the plurality of targeting parameters with advertising conditions for a social media campaign, wherein the advertising conditions of the social media campaign are contextually relevant to the one or more targeting parameters matched; recommending the social media campaign via a user interface; receiving authorization to launch the social media campaign via input received at the user interface or automatically launching the social media campaign based on pre-defined parameters; and deploying the social media campaign to one or many social media networks. Other related embodiments are disclosed.

A computing device may be configured to provide authorization to a first content source to provide first content to a user device. The computing device may receive a request from the first content source to identify a location of second content to be presented to the user device and respond to the request by providing an address to the first content source. At the provided address, a request for the second content from the user device may be received. When responding to the request, the computing device may retrieve information associated with the user (e.g., user preference information) from the user device. Using this information, the computing device may generate at least one parameter for selecting the second contend and send a response to the user device. The response may include an address for the second content and the at least one parameter for selecting the second content.

In some examples, a computing device may initiate audible play back of a book in response to an instruction from a user. While the book is being audibly played back, the computing device may determine (e.g., in the background) that a content of a recently played back portion of the book matches one or more interests associated with a user, initiate a search, and receive search results. The computing device may re-rank the search results based on the user's interests, pause play back of the book, and audibly read out the re-ranked search results. If the user asks a question, the computing device may pause play back of the book, perform an additional search, and read out loud the additional search results. The computing device may resume the audible play back of the book after the user provides a resume play back instruction.

A method for seamlessly and automatically granting tailored permission for use and transference of Internet data between databases with comprehensive consent is described. The method employs a graph language such as JSON-LD to integrate and employ cryptographically signed Information Sharing Agreements (ISA) between parties. Data is serialized to be easily transferred between databases when appropriate permission is obtained. Granular data exchange under usage control contacts can be automated among any number of parties on the Internet. As such, the method provides a means by which users may control not only what may be done with their data, but to what entity or entities the data may be transferred. Advertisements may then be served to the user according to his or her preferences as defined within a web or desktop app, which is then applied to all related ad publishers publishing to the domains visited by the user.

In a method for delivering targeted television advertisements based on online behavior, IP addresses indicating online access devices and IP addresses indicating television set-top boxes are electronically associated for a multitude of users. Using user profile information derived from online activity from one of the online access IP addresses, a television advertisement is selected, such as by using behavioral targeting or demographic information, and automatically directed to the set-top box indicated by the set-top IP address associated with that online access IP address. Preferably neither the user profile information nor the electronic association of online access and set-top box IP addresses includes personally identifiable information.

Systems and methods for managing alternative targeted experimental content are disclosed. A method for managing alternative advertisements may include an offer experience service computer program executed by an electronic device: (1) receiving a query for targeted content to display to a customer on a customer electronic device and an experimental content indicator; (2) based on the experimental content indicator, retrieving an experimental targeted content identifier for the customer from a third-party experimentation platform, wherein the experimental targeted content identifier identifies a variant of targeted content; (3) retrieving experimental targeted content associated with the experimental targeted content identifier from an experimental targeted content database; (4) generating a response to the query for targeted content comprising the experimental targeted content; and (5) returning the response to the customer electronic device. The customer electronic device displays the response including the experimental targeted content.

In an approach for identifying a user's interest in a media object and one or more personalities and presenting the user with a visual of how the media object looks on a particular personality, a processor receives a request to determine suitability of the media object for the user. A processor presents the media object to a multilabel classifier to be matched to a set of profile data of the user and a set of data of one or more personalities. A processor receives an output instruction from the multilabel classifier to combine the media object with a particular personality of the one or more personalities. A processor generates a combined media object of the media object with the particular personality using a generative adversarial neural network. A processor inserts the combined media object into an advertising template to generate an advertisement. A processor presents the advertisement to the user.

A segmentation system utilizes a supervised learning method and a clustering analysis to identify clusters, thereby segmenting a population into groups, where the clusters are associated with various conversion potentials that indicate the probability of an event. The segmentation system employs the supervised learning method to train a model on training data comprising historical conversion data and features associated with members of the group. A subset of features is selected from a ranked order that is determined using weights generated by the supervised learning. A clustering analysis is performed for a population with respect to the subset to generate clusters. A superior cluster is identified based on it having a conversion potential greater than a conversion potential of another cluster. In a marketing context, the system can be employed to identify a superior cluster of users that have a higher conversion potential in response to an advertisement campaign.