A data exchange facilitator utilizes a designated webserver to assist in the electronic exchange of consumer data between a plurality of consumers and a plurality of data purchasers. Each consumer continuously uploads data, such as personal information and purchasing preferences, onto a designated consumer profile page hosted by the webserver. Certain content provided by each consumer is restricted for access by data purchasers based on temporal and financial terms, which are initially stipulated by the consumer but remain negotiable between parties. Once the terms for such content are mutually agreed upon by both parties, the webserver provides access to the content and initiates the required payment transaction through a designated financial processing service. To authenticate the veracity of consumer data prior to purchase, the data exchange facilitator engages in a verification process and marks properly authenticated consumer profiles with an appropriate identifier.

A mobile wallet computing system associated with a mobile wallet database includes a mobile wallet circuit structured to present a mobile wallet interface a mobile wallet user. The mobile wallet interface includes a first portion that includes a graphical depiction of a user payment vehicle associated with a financial institution, the first portion including a first interaction point that enables the user to initiate a sequence to engage in a mobile wallet transaction using the mobile wallet. The interface also includes a second portion that includes a second interaction point and a third interaction point, the second interaction point enabling the user to access a functionality enabling the user to indicate a transaction preference for a transaction with an entity other than the mobile wallet provider or financial institution, the third interaction point enabling the user to indicate a preference to initiate communications with the financial institution.

Document consumption and value add service techniques and systems are described. In one example, a digital medium environment is configured to control availability of a value add service to consumers of a document. Consumption data is collected from a plurality of client devices. The consumption data describes characteristics of consumption of the document by respective client devices. A readership index is calculated that describes an amount of overall consumption of the document by the plurality of client devices. Responsive to a determination by the computing device that the readership index has exceeded a threshold, the value add service that relates to the document is exposed for interaction by at least one of the plurality of client devices.

A system for generating electronic advertisements for wearables customized for a selected user on a network, the system including a first server configured to receive requests from a device to share wearables with the selected user on a network; a first server coupled to receive requests for advertisements from the first server and communicate to the selected user on the network, the second server comprising: a first database configured to store a plurality of user models, each user model being a three-dimensional model of a portion of a human body; a second database configured to store a plurality of wearable models, each wearable model being a three-dimensional model of a wearable; a third database configured to store advertising campaigns; a processor configured to: receive a three-dimensional model of a portion of a human body and the model of the wearable for an associated user; morph the clothing to fit the personalized data for the target user in response to the sharing request; and render the image of the clothed body.

Systems and methods for content provisioning are disclosed herein. The system can include memory having a content database, a task database, and a user profile database. The system can include a user device having a first network interface and a first I/O subsystem. The system can include a server that can: receive a user identifier from the user device; retrieve user information from the user profile database, which user information identifies one or several attributes of the user; retrieve user task data from the task database, which user task data identifies a plurality of tasks for completion by the user; automatically generate prioritization data for the plurality of tasks identified by the user task data; select a task based on the prioritization data; and send content relating to the selected task to the user device.

A method for loading a layout with advertising item data is provided. Layout header data is parsed. A layout item object is then built. Global layout variables are replaced with values. Local layout variables are replaced with data from content objects. Displayed data is then created.

A system for receiving data associated with a mobile content is configured to calculate an expected value of the mobile content based at least in part on the data received, and determine a bid amount for a sponsorship of the mobile content based at least in part on the expected value.

Disclosed herein is an information processing apparatus including an evaluation information extraction section configured to extract evaluation information including an object targeted to be evaluated and an evaluation of the object targeted to be evaluated from a linguistic expression given as information expressed linguistically by a user of interest; an identification section configured to identify whether the evaluation information is of a first type regarding content or of a second type regarding another user; and an evaluation prediction section configured to predict the evaluation by the user of interest regarding the content, based on the evaluation information of the first type given by the user of interest and on the evaluation information given by the other user in the evaluation information of the second type given by the user of interest.

The present application discloses an information push method and apparatus, a device, and a storage medium, which relate to the field of intelligent search technology. A specific implementation of the method in the present application lies in: acquiring a user feature and an item feature, where both the user feature and the item feature include click through rate information; determining a degree of similarity between the user feature and the item feature; determining, according to the degree of similarity, item information that is recalled; and pushing the item information to a user terminal. According to the present application, item information having a high click through rate may be acquired through a one-channel recall approach, so that information push efficiency is improved and the pushed item information better conforms to user needs.

A mechanism is provided for prioritizing advertisements for a location. The mechanism identifies one or more person at the location and identifies a set of advertisements associated with a set of products for the location. The mechanism determines a score for the one or more persons indicating their likelihood to promote or detract from each of the set of products. The mechanism prioritizes the advertisements in the set according to the aggregate scores of the one or more persons for the products of the advertisements. The mechanism identifies a target person at the location to which the advertisement is to be directed and wherein determining a score of the one or more persons excludes or weights the target person.