A method comprises providing an interface permitting a first user to control activation of a mobile information channel through which the first user can share access to content with a plurality of additional users, activating the mobile information channel responsive to input received from the first user via the interface, inserting content provided by the first user into the mobile information channel, receiving additional content relating to the mobile information channel from one or more of said additional users via one or more respective mobile devices associated with at least one wireless network, inserting at least a portion of the additional content into the mobile information channel, and integrating into the mobile information channel information associated with at least one wireless networking functionality of said at least one wireless network.

Methods and apparatus to adjust media impressions based on media impression notification loss rates in network communications are disclosed. An example method includes determining a first network media impression adjustment factor based on a quantity of lost test media impression notifications for a first network in a geographic region; determining an adjusted quantity of first network user-accessed media impression notifications for the first network by applying the first network media impression adjustment factor to a quantity of successfully received user-accessed media impression notifications to generate a product and weighting the product based on a market share of first subscribers corresponding to the first network in the geographic region; and storing the weighted adjusted quantity of the user-accessed media impression notifications in association with a media identifier to credit corresponding media with a quantity of media accesses corresponding to the weighted adjusted quantity of the user-accessed media impression notifications.

A system for employing machine learning to generate customized notifications for a user is provided. The system may identify a landmark in proximity to a user's mobile device and may obtain information associated with products or services offered by the landmark. While the mobile device is within a predetermined distance of the landmark, a machine learning model may be employed to generate a customized notification, such as an offer—e.g., a discount or a special financing offer for one of the identified products—generated specifically for use by the user based on the user's spending and/or financing history. The customized notification may be transmitted to the mobile device with a security key for accessing the offer. In response to receiving an indication that the security key was selected and the product purchased, the user may be authenticated and the offer may be applied to an account associated with the user.

A system, method and apparatus for detecting the presence of a portable computing device (a smart phone device) in an area of proximity to a vendor to determine relevant pertinent information. A beacon device at a retail location establishes communication with a user's smart phone device which detection is then send to a remotely located server. The remotely located server determines if the detected portable computing device is associated with a predefined category of user. Contingent upon the category of user determination, a determination is made regarding information pertinent to the user. The pertinent information is then caused to be sent to the user's smart phone device.

A loyalty program management system associated with an enterprise location is provided. The loyalty program management system is programmed to: a) receive a plurality of input data associated with a plurality of patrons, wherein the plurality of input data represents actions of the plurality of patrons; b) determine a current location of a patron of the plurality of patrons, wherein the current location of the patron is not at the enterprise location; and c) transmit a message to a computer device associated with the patron including a prize to be awarded if the patron visits the enterprise location.

A method of determining a Place Visit Lift (PVL) metric by determining a plurality of users using wireless devices that have been exposed to a targeted message associated with the POI within a first pre-determined time period and receiving a plurality of sets of local area communication features of the local area communication modules of the wireless devices. These features are inputted into a Machine Learning Algorithm (MLA) trained using a set of heuristics applied to training sets of local area communication features of training wireless devices. The MLA outputs, based on the set of local area communication features of the local area communication module of the wireless device, a plurality of indications of the conversion rate of the targeted message. The method comprises determining based on the plurality of indications, the at least one of the visitors_site, the bypassers_site, the visitors_non-site, and the bypassers_non-site parameters.

Devices, systems and methods for providing customized entertainment or productivity options to passengers on commercial passenger vehicles are disclosed. An exemplary method implemented by a computer on a commercial passenger vehicle includes receiving and storing from a server system communication on a memory and a display screen of a portable device of a passenger, prior to a start of a current travel segment of the commercial passenger vehicle, data for predictive preference selection during the current travel segment; determining, during the current travel segment, for the passenger, a personalized display menu of the passenger for one or more items or services from a plurality of items and services; and providing, during the travel segment, an interactive session having the personalized display menu based on the traveler profile and displayed on the display screen for the passenger on the portable device based on the determining.

An acquirer acquires last date information and at least one of frequency information and money amount information. The last date information indicates a last store visit date when a customer last visited a store or a last purchase date when the customer last purchased a product at the store. The frequency information indicates at least one of a frequency with which the customer has visited the store and a frequency with which the customer has made a purchase at the store. The money amount information is information about an amount of money of products purchased by the customer at the store. A product selector selects a product whose advertisement is required to be presented to the customer using at least one of the frequency information and the money amount information. On the basis of the last date information, an information amount determiner sets a condition.

An approach is provided for providing a privacy-preserving yet targeted delivery of location-based content. The approach involves, for example, initiating a first transmission of content consumer public key(s) associated with content consumer(s) to a content provider. The approach also involves, in response to the transmission, receiving encrypted content encrypted with the content consumer public key(s). The encrypted content is cryptographically signed with a content provider private key associated with the content provider. The approach further involves initiating a second transmission of the encrypted content to a consumer device. A content provider public key for decrypting the encrypted content is made available based on (1) the consumer device scanning the content provider public key at a location designated by the content provider, or (2) detecting that the consumer device is located within a threshold proximity of the location.

Systems, methods, and computer program products are provided for location-based distribution of data. One or more sets of data from one of a plurality of partner systems are received and stored, each set of data including at least one of a location data and a range. Application information associated with each application of a plurality of applications stored on respective mobile device is retrieved. The application information includes at least application location information. A pool of eligible applications are identified from the plurality of applications, based on the application location information of each of the plurality of applications and at least one of the location data and range of one of the one or more sets of data. A message is generated for each of the applications in the pool of eligible applications, the message including at least a portion of the one of the one or more sets of data. The respective messages are transmitted over a communications network to the applications in the pool of eligible applications.