A computer implemented method for determining demographic information to facilitate mobile application user engagement in a remote computing environment is provided. The method includes capturing and compiling social media data for a user into a first database; processing the social media data by detecting explicit identifications of demographic attributes of the user; setting a probability value of 100% for each explicitly identified demographic attribute for a category; setting a probability value of 0% for each demographic attribute not explicitly identified for the category; determining a derived attribute for a second category by searching a secondary database using the explicitly identified demographic attribute; training a neural network using training data, the training data comprising the explicitly identified demographic attribute and its associated probability value, and the derived attribute and its associated probability value; inputting, to the neural network, social media data of a second user; predicting, by the neural network, demographic attributes of the second user.

A system for customizing an advertisement to be displayed on a web page accessed by a user, includes one or more processors configured to execute the instructions to detect that the user has accessed the web page that includes the to-be-displayed advertisement; retrieve, from the database, an advertisement template for the advertisement in response to detection that the user has accessed the web page; extract a stylistic preference of the user from the database, wherein the stylistic preference is an advertisement visual characteristic that corresponds to user preference based on prior interaction of the user with one or more online advertisements; modify a visual characteristic of the advertisement template based on the extracted stylistic preference to generate a customized advertisement; and provide the customized advertisement for display to the user.

Integrated systems and method for integrated management of advertising campaigns are provided. The system provides a user device with access to a centralized transaction platform server based on authentication information provided by the user device, which is verified by one or more integrated third party systems utilized by the one or more users. The system receives data regarding inventory from the one or more integrated third party systems, wherein the data is received via an application programming interface (API). The system aggregates a collection of available inventory based on the data regarding the inventory from the one or more integrated third party system. The system filters the aggregated collection of available inventory based on one or more categories of the inventory. The system generates, on a graphical user interface, a custom display based on a received criteria that matches the one or more categories of the inventory.

Blockchain-enabled crypto asset systems and a Digital Social Recorder system are operable within a computer network environment for allowing a user to control how advertisers access the user's personal data; allowing crypto asset compensation in exchange for social amplification; and tracking asset allocation. Payments made via blockchain tracking, and the distribution of any revenues derived from cost savings provided to terrestrial, satellite or digital radio broadcasters back to music rights holders and other related groups are provided. These rights holders typically like to incentivize consumers, and by using the crypto assets or tokens created by the present invention, a reward for listening/consuming may be provided. Further, payments for industry services to the rights holder are contemplated to include, but not be limited to any Performance Rights Organizations (PROs), Record Labels, Publishing Companies/Administrators, Managers, Agents or any fractional rights holders or owners who would hold claim against any such revenues.

Systems, methods, and computer-readable media are disclosed for predictive user segmentation modeling and browsing interaction analysis for digital advertising. In one embodiment, an example method may include identifying a target consumer segment, generating a predictive user behavior model for the target consumer segment based at least in part on selected user data, and receiving an indication that a user is browsing a website. Example methods may include generating a first customer score for the user using the predictive user behavior model in real-time, and determining that the first customer score meets a consumer segment modification threshold for the target consumer segment.

Methods for providing contextual information about communication devices and/or services. Profile information indicating a user's communication devices and/or services is stored. When profile information or a message log is displayed, the user may identify a communication device and/or service. A query inquires whether the user would like contextual information. The contextual information may be obtained from a gateway in a data network or a telecommunications manager in a telecommunication network. The contextual information is displayed. Profile information about a user's communicating partner may be stored. When the user makes an effort to communicate with the partner, a check may be made of the partner's profile information for a preferred communication device and/or service. If the user does not have a communication device and/or service corresponding to that of the communicating partner, a query may inquire whether the user would like contextual information. If so, the contextual information is presented.

A method of delivering advertising in an online environment includes determining a context of a user operating a client computer to interact with an e-commerce website, where the determined context representing an intent of the user to locate a product for purchase, defining a relation between one or more of a plurality of advertisements and the product based on at least one of a plurality of relevance types, and displaying, to the user, at least one of the advertisements having the relation to the product.

The present system provides users engaging with sharing platforms a method to monetize their contribution in generating ad revenue for various advertisers. The system can quantify the user contribution based on the user's behavior and action related to individual ads on the sharing platforms. The system provides a method of monetizing a user's contribution to ad revenue, thereby incentivizing users to share the selected ad to the user's audience.

A third-party advertisement creator builds a template for an advertisement using a markup language provided by the social networking system. The template may include a function to call information from a user's profile as well as a function to perform an action in the social networking system and/or external to the social networking system. An advertiser selects a template, add content to the template to create an advertisement, and then requests that the advertisement be published by the social networking system to a viewing user. At runtime, the social networking system parses the markup language in the advertisement to use tags with the viewing user's personal and social information and/or function calls to perform the action (e.g., to make the user a “fan” of a page). This allows personalization of interactive advertisements generated by a third party while protecting the user's personal information maintained by the social networking system.

A method, and system for implementing the method, comprising the steps of providing an object browser user supporting at least speech communication with the user, permitting user-controlled browsing of objects received through a computer communication network; downloading an object through the computer communication network in dependence on a user input, the object having an associated data file defining a predetermined vocabulary and a predetermined grammar; presenting the downloaded object through the object browser, wherein speech information received from the user is interpreted in conjunction with both the predetermined vocabulary and the predetermined grammar; and selectively generating at least one communication through the computer communication network, in dependence on the interpreted speech information.