One variation of a method for selectively advertising items in an image includes: loading an image to a social feed; receiving a first tag and a second tag including identification of a first item and a second item visible in the image, respectively; based on the first tag and the second tag, correlating the first item with a first product and the second item with the second product; based on the first product and the second product, sourcing a first link to a first electronic storefront and a second link to a second electronic storefront that facilitate purchase of the first product and the second product, respectively; and selectively displaying a first visual cue of the first link and a second visual cue of the second link to a first user and to a second user, respectively, according to demographics of the first user and the second user.

Various embodiments enable a computing device to perform tasks such as processing an image to recognize text or an object in an image to identify a particular product or related products associated with the text or object. In response to recognizing the text or the object as being associated with a product available for purchase from an electronic marketplace, one or more advertisements or product listings associated with the product can be displayed to the user. Accordingly, additional information for the associated product can be displayed, enabling the user to learn more about and purchase the product from the electronic marketplace through the portable computing device.

A method that incorporates the subject disclosure may include, for example, providing a first digital assistant to engage in a first communication exchange with a user of the first communication device where the first digital assistant has a first digital assistant persona that controls information provided by the first digital assistant during communication exchanges, analyzing user input during the first communication exchange, and adjusting the first digital assistant persona based on one or more of the user persona, user deficiency, or promotional offers. Other embodiments are disclosed.

Systems and methods for the optimized allocation of content on a content distribution system according to a content distribution plan are described. In some embodiments, a management system may be configured to generate an optimized schedule for content distribution, such as an advertising campaign. For a television distribution schedule, an impressions forecast may be generated based on the available inventory and historical audience measurement information, such as television ratings for a television advertising campaign. An optimized schedule may be generated based on the impressions forecast and content may be distributed according to the optimized schedule. Measurement information relating to the distribution according to the optimized schedule may be analyzed and used to generate a re-optimized schedule, for example, that may be used to schedule the advertising campaign on a subsequent day.

An example operation includes one or more of retrieving a first amount of energy, by an originating transport, of a minimum amount of energy on a target transport, based on an expended energy by the originating transport to reach a meeting location, provide a needed service, and an estimated expended energy by the originating transport to return to an original location, and retrieving a second amount of energy, by the originating transport, of the minimum amount of energy on the target transport, based on a factor related to providing the service, wherein the factor is greater than the expended energy and the estimated expended energy.

A system for communicating a message in response to placement of a product proximate to a mobile electronic device. The system includes a product package comprising a token that includes a power source and a wireless transmitter, and a mobile electronic device. The mobile electronic device includes a processor, a computer-readable memory, a wireless receiver that is operable to detect a signal emitted by the wireless transmitter of the product package, and a transmitter. The processor is configured to detect the signal, analyze the signal and extract token information from the signal, retrieve user information for a user who is associated with the mobile electronic device, generate a message that corresponds to the extracted information, and cause the transmitter of the mobile electronic device to send the message via a wireless communication protocol.

This paper presents a practical method for measuring the impact of multiple marketing events on sales, including marketing events that are not traditionally trackable. The technique infers which of several competing media events are likely to have caused a given conversion. The method is tested using hold-out sets, and also a live media experiment for determining whether the method can accurately predict television-generated web conversions.

A method for applying and buying with a co-branded virtual card is disclosed. The method includes receiving a customer application for a co-branded credit card at a time of purchase, performing a customer qualification for the co-branded credit card at the time of purchase, providing access to a virtual co-branded card for a qualified customer, the virtual co-branded card having a valid credit card number, a valid credit card expiration date and a valid credit card security code and authorizing the use of the virtual co-branded card to buy goods at the time of qualification.

The present disclosure discloses a method and device for pushing information to a target user. One example method includes identifying a plurality of users that meet a predetermined condition; selecting a target user from the identified users to be provided with information, where in the target user is selected based on a relationship strength and an influence of the identified users; and transmitting the information to the determined target user over a network, and relates to the field of information technologies.

Techniques are disclosed to determine when a user is in need of a loan and notifying the user of loan offers. With user permission or affirmative consent, user data may be monitored for several users, which is used to build a user profile for each user. The user profile may then be analyzed to determine whether a user will require a loan within a future time period. To do so, the user data may include data from various sources, which indicate the user's interactions and behaviors such as demographic data, data indicative of user shopping habits, online browsing, life events, or other relevant behaviors. This data may then be analyzed to predict a statistical likelihood that a user will need a loan. When this statistical likelihood is exceeded, a user may be preapproved for a loan and/or a targeted notification may be sent indicating offers for certain types of loans.