Systems and methods to identify a target audience for prospective content based on a taxonomy are disclosed. Exemplary implementations may: receive a content definition for prospective content; identify a set of the pieces of content based on similarity between taxonomical classifications of the individual pieces of content and the taxonomical classification of the prospective content as indicated by the content definition; correlate one or more combinations of psychological parameter values with the prospective content based on interaction information for the set of pieces of content and the psychological parameter values included in psychological profiles of users that interacted with the set of pieces of content; identify a set of prospective users for the prospective content based on the correlated one or more combinations of psychological parameter values and the psychological profiles of the users; and effectuate presentation of the psychological parameter values of the set of the prospective users.

Disclosed herein is a system and method to determine whether to place an advertisement to a user requesting an address from the user. The system can iteratively determine multiple advertisement metrics of multiple advertisements to obtain multiple metrics. An advertisement metric among the multiple advertising metrics can indicate the value of placing the advertisement to the user. The system can rank multiple advertisements based on the multiple advertisement metrics and present a predetermined percentage of top-ranking advertisements among the multiple advertisements.

This application relates to apparatus and methods for automatically determining and providing personalized user personas of a customer for specific platforms (e.g., applications). In some examples, a computing device receives a persona request identifying a user and a platform. In response, the computing device obtains user data associated with the user and a plurality of potential user personas from a database. For each of the plurality of potential user personas, the computing device then determines a combination score for the user based on the user data. The combination score indicates user's affinity to a corresponding potential user persona within the platform. The computing device selects at least one potential user persona of the plurality of potential user personas as a final user persona for the user and the platform based on the corresponding combination score.

A system and method of advertising based on the automatic determination of an advertising recipient's location and inferences of preferences derived from usage behaviors is disclosed. The advertising recipient's location that is considered in delivering a specific advertisement may be the current location or one or more historical locations. Proximity considerations with regard to other people, locations, or physical objects may influence the advertisement that is to be delivered. The advertisement may be delivered to a mobile device that has location-aware capabilities such as a Global Positioning System-based system.

Transformation of inputs including beacon inputs, Global Positioning System (GPS) inputs, captured panorama inputs, user-penned descriptive inputs, and payment-amount-specifying inputs, via components, into outputs including user device POS configuration setting outputs and/or payment-gateway-directed authorization request outputs. Further, transformation of inputs including POS scanner inputs, POS keyboard inputs, and/or POS printer-directed inputs, via components, into outputs including compliance check outputs, tagged omnibus record outputs, SKU-UPC mapping outputs, and/or convergence/correlation outputs. Additionally, transformation of inputs including older limited-capability POS software image inputs and/or newer limited-capability POS software image inputs, via components, into outputs including update directive outputs. Functionality set forth includes allowing user devices to directly communicate with payment gateways, capturing and making use of scanner-obtained data and printer-destined data in a way that does not require code alternation of already-installed POS software, and allowing software of limited-capability POS devices to be updated without sending large, full-overwrite software images.

Location technologies are combined with other information systems to provide augmented information for individuals such as a traveler in an automobile.

Systems and methods for advertisement-based vehicle matching and routing. For example, a computer-implemented method includes obtaining data associated with a vehicle service request. The data associated with the vehicle service request is indicative of a pick-up location and a destination location associated with the vehicle service request. The method includes determining, from among a plurality of candidate vehicles, a selected vehicle for the vehicle service request based on the data indicative of the vehicle service request, candidate advertisement content items, and candidate routes for the plurality of candidate vehicles. The method includes communicating data that initiates display of a selected advertisement content item by a display device positioned on an exterior of the selected vehicle. The method includes communicating data indicative of route information to a computing device associated with the selected vehicle. The route information includes a selected route to the pick-up location.

A method of monitoring a subject includes detecting subject head motion via a microelectromechanical systems (MEMS) sensor associated with a device worn by the subject, such as a device worn on a region of the head or a headset attached to an ear. The head motion information from the MEMS sensor is processed to determine subject head displacement relative to an origin and/or to identify footstep information, and the processed head motion information is transmitted to a remote device. Processing the head motion information from the MEMS sensor may be performed via at least one processor associated with the device worn by the subject and/or via a second device in telemetric communication with the MEMS sensor. The method may include processing head motion information from the MEMS sensor to determine if the subject has fallen down and/or is not moving.

The subject matter of this specification can be embodied in, among other things, a method that receives at a server a first request to rebroadcast a first sponsored content item that was displayed on the social network to the first user to a second user. A second request to display at least one sponsored content item to the second user when the second user accesses an electronic document associated with the social network is received at the server. The first sponsored content item is retrieved for rebroadcast from one or more sponsored content items indicated for rebroadcast to the second user. The first sponsored content item is output to the second user of the social network in response to the second request to display and without requiring the second user to select the first sponsored content item for display.

Systems and methods are disclosed for associating a plurality of Internet-enabled devices with a common user profile for targeting Internet content or advertising. One method includes: receiving, from a plurality of Internet-enabled devices, a plurality of requests for electronic content or advertising; extracting, from each of the plurality of requests, a source IP address and a unique identifier associated with the respective Internet-enabled device; identifying each possible pair of devices from which requests were received; calculating for each possible pair of devices a probability that the pair of devices are owned or operated by a common user; and prompting a user to either confirm a characteristic of a prior browsing session or to log-in to an account associated with the common user based on a comparison of the calculated probability to one or more thresholds.