Systems, methods, and non-transitory computer readable media can determine a placement in a camera view for displaying an augmented reality (AR) advertisement, where the camera view is associated with a computing device. An AR advertisement for a user associated with the computing device can be determined based on attributes associated with the user. Display of the AR advertisement can be caused at the determined placement in the camera view.

In general, embodiments of the present invention provide systems, methods and computer readable media for a predictive recommendation system using predictive models derived from tiered feature data.

In a global network of computers, a method ad system of profiling a user for targeting advertisements is disclosed. The method and system obtains and/or infers demographic information from end-users using on-line means. The invention next monitors end user activity and determines keywords therefrom. The system and method profiles an end user as a function of the determined end-user activity keywords and obtained/inferred end-user demographic information. Profiles of end-users are matched against targeted profiles of advertisements which are defined by the respective advertisers. This results in targeting advertisements to end-users based on end user profiles. Advertisers bid for advertisement placement with the system. In some embodiments, the system employs Vickrey auction type bidding. Using observed user behavior and the auction results, ads are prioritized for selection and viewing placement in a manner that provides the greatest potential value to the system.

Method, system, and programs for measuring user engagement. In one example, a model generated based on user activities with respect to a plurality pieces of content is obtained. One or more actual occurrences of the user activities with respect to one piece of the plurality pieces of content are identified. One or more future occurrences of the user activities with respect to the piece of content are estimated based on the model. A user engagement score with respect to the piece of content is calculated based on the one or more actual occurrences of the user activities and the one or more future occurrences of the user activities.

A disclosed example includes an identifier extractor to: extract a first identifier from mobile device communications at a merchant location; and store the first identifier in a database associated with the merchant location; a communications interface to: monitor for the mobile device communications, the identifier extractor to extract the first identifier in response to the communications interface identifying the mobile device communications during the monitoring; receive a request including the first identifier from an audience measurement entity; and when the first identifier is present in the database, send an association between the first identifier and the merchant location to the audience measurement entity; and a collection interface to determine whether the first identifier is present in the database.

A system for advertising is disclosed, the system comprising a communication devices; an advertising mediums for displaying an advertisement; a vendors; an advertising agency; and a computer-readable medium coupled to the communication device having instructions stored thereon which when executed by the communication device, cause the communication device to perform operations. The operations includes, receiving a request for proposal (RFP) from the advertising agency; determining advertising mediums that matches with the RFP; transmitting a RFP notification to the vendors of the determined advertising mediums, wherein each of the vendors receives a distinctive Uniform Resource Locator (URL) within the notification; receiving a response from one of the vendors; generating and transmitting a proposal based on the response received from the vendors to the advertising agency; receiving a selection of the advertising mediums from the advertising agency; and generating a contract for advertising on the selected advertising medium.

Systems, methods, and computer-readable media are disclosed for systems and methods for automated graphic generation for data sets identified using artificial intelligence. Example methods may include determining a set of user accounts that are similar to a second user account, determining first historical performance data for a first set of digital content associated with the first user account, determining second historical performance data for a second set of digital content associated with the second user account, and generating a first score for the first user account. Example methods may include determining a first number of search queries associated with the first user account, determining a second number of search queries associated with the second user account, generating a second score for the first user account, causing presentation of the first score and the second score at a user interface, and generating an action recommendation for the first user account.

A method and system for displaying an advertisement at a user device comprising receiving a content stream at the user device comprising an advertisement queuing point, monitoring the content stream for the advertisement queuing point at a client stream assembler module of the user device, communicating an advertisement query signal comprising client metadata from the client stream assembler module to a decision proxy, receiving an advertisement decision signal comprising an advertisement location identifier at the client stream assembler module, requesting an advertisement based on the advertisement location identifier and receiving and displaying the advertisement corresponding to the advertisement location identifier on a display associated with the user device.

Methods and systems are described for providing communications to devices with a customized adaptive user experience. In one embodiment, a system includes a storage medium to store one or more software programs and a format and targeting builder unit to create and edit customizable ad formats and create target user segments. The system includes processing logic that is configured to execute instructions of at least one software program of the format and targeting builder module to receive biometric data from devices of users and provide the options of custom scripting for creating and editing ad formats and targeting user segments with different categories.

Disclosed herein are systems and methods for determining electric pulses to provide to an unattended machine based on remotely-configured options. An example method includes: detecting presence of the unattended machine in proximity to the mobile device. After detecting the presence, the method includes: receiving, from a server, information about a first set of remotely-configured options. In response to receiving the information about the first set of remotely-configured options, the method includes: displaying user interface objects that allow for selection of respective options in the first set of remotely-configured options. After detecting a selection of a first user interface object, receiving, from the server, specifications regarding electric pulses to be provided to the unattended machine by a pulse-providing device. After sending an authorization grant and the specifications to the pulse-providing device, the method includes: receiving an indication that the electric pulses were provided to the unattended machine according to the specifications.