Apparatus' and methods are disclosed for distributing sellers' offerings within an advertising system in which a seller generates a profile containing a list of offerings for mobile buyers and wherein mobile buyer's devices display the seller's offerings based on the buyer's preferred purchases or vendors. At least some of the buyer's preferred profile entries are associated with a geographic area. A mobile network is used to connect the mobile buyers and the sellers. The network further includes a brand sponsor that offers branded content through the network and the seller's offering processes. Branded content may be displayed based on a bidding process. Buyers mobile devices may include a bypass function to allow the display of the branded content on the buyer's mobile device even of that branded content does not meet the criteria of the buyer' preferred offerings.

Disclosed herein is a computer-implemented method for obtaining one or more offers for a user, the method comprising a secure computer environment within a computing system: receiving personal data of a user that has been authorised for use by the user and is associated with a confirmed user preference of the user, receiving offer data from one or more third party offer providers, generating one or more offer results in dependence on the offer data and personal data, and outputting the one or more offer results Advantageously, the personal data contained within a user's profile that is used to obtain offers or other beneficial services does not need to be transferred to the providers of these offers or other beneficial services as the mechanism to identify relevant offers or other beneficial services is managed through a sandbox mechanism.

A system for selecting an image to accompany text from a user in connection with a social media post. The system includes receiving text from the user; identifying one or more search terms based on the text; identifying candidate images from images in one or more image databases using the search terms, where the candidate images comprise a sponsored image; presenting one or more candidate images to the user, where the sponsored image is presented preferentially compared to other candidate images; receiving from the user a selected image from the one or more candidate images; generating the social media post comprising the selected image and the user-submitted text; and transmitting the social media post for display.

An information processing method, a server, and a computer storage medium are disclosed. The method includes: obtaining first information from a first terminal, the first information including at least information content and an information presentation style parameter; obtaining second information from the second terminal, the second information including at least basic user information and/or user behavior information and/or user relationship chain information; generating sampling information according to the first information and the second information, and constructing, according to the sampling information, at least one processing policy that separately corresponds to a first type of processing node interacting with the first terminal and a second type of processing node interacting with the second terminal; and generating the third information according to the first information and the at least one processing policy, and sending the third information to the second terminal for information presentation.

Aspects of the present invention relates to providing a system and methods for an advanced digital retail platform for personalized shopping. The system, particularly, relates to enabling wise decision making while shopping, combined with improved personal experience and advisory messaging. Accordingly, the digital retail platform comprising two sub-systems, a frontend sub-system and a backend sub-system, each operable independently and continuously to yield personalized shopping experience. Further, the digital retail platform controls the shopping flow and configured to continuously monitor and analyze consumer behavior thereby identify changes and enable updating the advisory messages and personal shopping preferences.

In one embodiment, a method includes receiving, from a client system associated with a first user, a request to access a user-card interface. The method includes generating, in response to the request, multiple user-cards, each user-card being associated with a pre-selected query. Each user-card includes references to second users matching the pre-selected query associated with the user-card. The method includes calculating a user-card score for each user-card. The user-card score represents a relevance of the pre-selected query to the first user and a relevance of the second users referenced in the user-card to the first user. The relevance of each second user referenced in the user-card is based on an affinity coefficient of the first user with respect to the second user. The method includes sending, to the client system, instructions for presenting the user-card interface with user-cards in ranked order based on the user-card score associated with each user-card.

An object is recognized from image data as a target object and linked to a user based on an interaction by the user, information about the target object is obtained and a purchase of the target object is initiated.

A system and methods for delivering targeted marketing offers to consumers during a session with an online (web-based) Internet portal, particularly suitable for online banking portals of financial institutions. An offer management system receives information corresponding to an advertising campaign of an advertiser corresponding to terms of a targeted marketing offer to be provided to a consumer accessing the online portal, and provides advertising campaign data corresponding to the targeted marketing offer and to an offer-triggering event to an offer placement system. An offer placement system receives the advertising campaign data, determines the occurrence of the offer-triggering event by a consumer during an online session with the online portal, and delivers information corresponding to the targeted marketing offer to the consumer. In response to the offer-triggering event, such as display of a list of transactions, the predetermined targeted marketing offer is delivered to the consumer during the online session.

Example embodiments of the present disclosure include a system comprising a computer-readable storage medium storing at least one program and a computer-implemented method for providing a recommendation based on a level of buying intent of an individual. Consistent with some embodiments, the method may include monitoring an amount of time an individual wears a particular item while in a fitting room of a retail store, and determining an interest level of the individual in purchasing the item based on the amount of time the individual wears the item. The method may further include generating and providing a recommendation for an additional based on the determined level of intent.

An advertisement delivery apparatus according to the present application includes a receiving unit, a classifying unit, and a determining unit. The receiving unit receives a delivery request for a plurality of advertisements to be delivered to a terminal device. The classifying unit classifies the advertisements for which the delivery request is received by the receiving unit into a plurality of groups, based on a predetermined condition. The determining unit determines the advertisements to be delivered, for each of the groups classified by the classifying unit.