A real-time content identification and tracking system enabling monitoring of television programming consumption specific to an individual television or other viewing device. Metrics collected may include data regarding viewing of specific broadcast media, commercial messages, interactive on-screen information or other programming, as well as locally cached, time-shifted programming. Information about media consumption by such specific television sets or other viewing means may be returned to a commercial client of the system through a trusted third-party intermediary service and, in certain embodiments, encoded tokens may be used to manage the display of certain events as well as to enable robust auditing of each involved party's contractual performance.

A system for promoting user-product engagement including a plurality of token readers and a messaging system server is disclosed. Each of the plurality of token readers comprises one or more sensors configured to detect a code from a token associated with a packaged product when the token is in a range of the sensor, and also detect a user identifier from a proximate mobile electronic device, and a transmitter. The messaging system server is configured to receive a signal emitted by any of the plurality of transmitters associated with each of the plurality of token readers, retrieve, from a data store, profile information for a user who is associated with the user identifier, update the profile information with product information corresponding to the detected code and location information corresponding to the token reader ID, and save the updated profile information to the data store.

Methods and systems are provided herein for recommending a media asset based on a geographic location at which that media asset was frequently consumed. For example, the system may monitor a location, such as New York City or Times Square, to determine popular media assets watched there, such as “The Avengers,” and when another user visits New York City, the system may then notify the user that the movie, such as “The Avengers,” is associated with New York City. The system stores the geographic locations associated with the media asset in the database based on the consumption of the media asset so that other users may be notified which media assets are associated with each geographic location.

Various aspects of a system and a method to provide recommendation on an electronic device based on emotional state detection of a user, are disclosed herein. In accordance with an embodiment, the system includes the electronic device, which is configured to detect a transition in an emotional state of a user associated with the electronic device from a first emotional state to a second emotional state. A tagged content item associated with the second emotional state of the user is retrieved from a network device based on identity information of the user and the detected transition. An application is launched on the electronic device to recommend a product or a service related to the retrieved tagged content item. The application is launched in response to the detected transition in the emotional state of the user and a current location of the electronic device.

In general, embodiments of the present invention provide systems, methods and computer readable media for ranking promotions selected for recommendation to consumers based on predictions of promotion performance and consumer behavior. In embodiments, a set of promotions to be recommended to a consumer can be sorted and/or ranked according to respective relevance scores representing a probability that the consumer's behavior in response to the promotion will match a ranking target. In embodiments, calculating scores is based on a relevance model (a predictive function) derived from one or more contextual data sources representing attributes of promotions and consumer behavior. In embodiments, an absolute relevance score represents an absolute prediction of a ranking target variable. In embodiments, absolute relevance may be used to determine personalized local merchant discovery frontiers; featured result set thresholding for impressions; and/or promotion notification triggers. In embodiments, predictive models based on gross revenue may be optimized using promotion category-dependent price boosting.

There are provided systems and methods for contextual data in augmented reality processing for item recommendations. A first user may provide a recommendation to a second user of an item viewed by the first user through a communication device. The first user may tag the item, for example, through voice input or visual cues while viewing the item at a physical merchant location, or through menu selections within an interface displaying a browsing window of the first user. The first user may provide contextual data that may be used to determine that the first user is recommending the item to the second user, such as voice data that includes an identifier for the second user or visual cues within audiovisual content captured of the item at the physical merchant location. During online browsing, the first user may provide the contextual data through actions, menus selections, and data entry.

A system, method and computer-readable medium for generating and transmitting experience journeys. The system includes a processor and a memory including instructions that, when executed by the processor, cause the processor to perform operations including: receiving a user's request for an experience journey; retrieving a listing of activities within a prescribed vicinity of the user; retrieving a listing of the user's preferences; eliminating activities from the listing of activities that are contrary to the preferences in the listing of user preferences, thereby forming a listing of preferred available activities; devising routes from the user's location to the activities in the listing of preferred available activities; generating experience journeys from the listing of preferred available activities and the devised routes to the activities in the listing of preferred available activities; and transmitting the generated experience journeys to the user.

A method for conversion attribution. The method includes obtaining a first identifier associated with a first device, obtaining a second identifier associated with a second device, bridging the first identifier and the second identifier based on a determination, made by a probabilistic classifier, that the first identifier and the second identifier are associated with a common user, and attributing, using the bridge, a conversion on a website accessed using the second device.

A system and method are provided for collection and testing of a biologic sample. The system and method comprise collecting by a user of a testing device a biologic sample for use with the testing device, assigning correlative values as test results, and receiving the test results at a server disposed on a network. Some aspects further include presenting advertisements and other messages to users through a mobile application operating on a mobile device. These aspects take into account the results of the self-diagnostic test and present different advertisements to the user based on the results of the test.

A communication system (100) comprises a service terminal (ST) and a first transmitter function (TX1) in or at the service terminal (ST). The first transmitter function (TX1) is configured for sending a first short-range wireless communication signal (S1) to cause a first reaction (R1) when received by a mobile device (MD) being located within a first distance (D1) or distance range (DR1) from the service terminal (ST). The communication system (100) also comprises a second transmitter function (TX2) in or at the service terminal (ST). The second transmitter function (TX2) is configured for sending a second short-range wireless communication signal (S2) to cause a second reaction (R2) when received by the mobile device (MD) being located within a second distance (D2) or distance range (DR2) from the service terminal (ST), the second distance (D2) or distance range (DR2) being closer to the service terminal (ST) than the first distance (D1) or distance range (DR1).