A system and process for coordinating streaming content or messages is provided. A network-connected server maintains a database containing media content-related data, such as the text of a message, accompanying media, time of airing, payment and related comments. A user can view these feeds or streams of these consciousness messages by downloading a mobile application or browsing to a website. The application can also be used to create, schedule and pay for a media content message.

The systems and methods may be used to recommend an item to a consumer. The methods may comprise determining, based on a collaborative filtering algorithm, a consumer relevance value associated with an item, and transmitting, based on the consumer relevance value, information associated with the item to a consumer. A collaborative filtering algorithm may receive as an input a transaction history associated with the consumer, a demographic of the consumer, a consumer profile, a type of transaction account, a transaction account associated with the consumer, a period of time that the consumer has held a transaction account, a size of wallet, and/or a share of wallet. The method may further comprise generating a ranked list of items based upon consumer relevance values, transmitting a ranked list of items to a consumer, and/or re-ranking a ranked list of items based upon a merchant goal.

A system for providing context sensitive display overlays to a mobile device via a network comprising an overlay datastore, a processor, coupled to the datastore and programmed to receive a request from a mobile device via the network for a list of overlays, determine user context information, search the datastore for overlays matching the user context and provide the list of overlays to the mobile device via the network.

The present disclosure relates to an information sending method, apparatus, system and a computer readable storage medium, and pertains to the technical field of computers. The method in the present disclosure includes: analyzing video data of an offline user to determine an attribute of the offline user; searching for historical access information of at least one online user matching the attribute of the offline user; and determining at least one object recommended to the offline user according to the historical access information of each of the at least one online user, and sending information of the at least one object to the offline user.

Methods, computer-readable media, systems, and/or apparatuses for providing offer and insight generation functions are provided. For instance, user input may be received requesting generation of an offer. In response to receiving the request, an application may be transmitted to a device, such as a mobile device of a user. In some examples, the application may be executed by the device and may facilitate establishing a communication session with a third party system, identifying and extracting data from the third party system, and transmitting the extracted data to an entity for evaluation. In some examples, evaluation by the entity may include generating one or more insights, outputs and the like. In some arrangements, the evaluation may be performed using machine learning and, in some examples, may be performed in real-time or near real-time.

Systems and related methods of providing promotions to consumers based on proximity to communication beacons are discussed herein. Some embodiments may provide for a system including a communication beacon and a central system. The communication beacon may be associated with a merchant and located at a merchant shop. Based on receiving consumer presence data from the communication beacon indicating that a consumer device and the communication beacon has formed a direct wireless connection, the server may be configured to provide merchant information, promotions, or other messages to the consumer device. In some embodiments, messages may be generated by the merchant and targeted to consumers based on consumer device location, consumer demographics, among other things. Furthermore, the server may provide consumer information to a merchant device to facilitate consumer service, point-of-sale, and seamless transactions and promotion redemptions.

A system and method for delivering a message to a user makes use of a voice applications agent that is located, at least in part, on the user's local device, the voice applications agent being configured to perform a voice application in order to deliver the message to the user. The voice application comprises a set of instructions about how to interact with the user. Performing the voice application on the user's local device comprises the voice applications agent following the set of instructions that comprise the voice application in order to interact with the user.

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.

A server device determines a first item number by specifying a first object correlated with an item number of items defined in a game and determines a change value by specifying a second object correlated with the change value for changing the first item number. The server device changes the first item number to a second item number on the basis of the determined first item number and the determined change value and gives a reward on the basis of the second item number.

The system links Internet web page context with audience usage and location data to support advertising efficiency and effectiveness. An ontology of categories is created where domains and website pages are classified and scored against the links on those pages and the meta-tag key word pools that are harvested from those web pages. An ontology of high level categories are derived from the frequency of the key words appearing within the domain URL addresses of the pages, the domain of the links on those pages or within the content of the pages themselves. A method includes building a training set of web pages from a plurality of ad networks and sites where the system captures impressions in the form of real-time bids as well as click through events that include the IP address, the domain, the time of day and day of week, ad size and position, browser type, and bid amount whereby the training set is aggregated in a database whereby successful bids can be used in combination with audience and category attributes to model and score impression bids that combine the optimal mix of audience attributes, location, categorical affinity and bid price.