A remote experience system is presented. The system can include a feed aggregation engine configured to obtain a plurality of feeds from feed acquiring devices associated with an event. The feed aggregation engine can obtain an experience policy related to the event and construct an experience feed having an arrangement of the plurality of feeds according to the experience policy. The experience feed can be presented to a user via an experience feed interface, and can include an indication of a focal or other cluster.

The current invention is a system where a user can interact with advertised content on numerous platforms via a plethora of devices while watching a promotional event, with the goal of driving sales to advertisers through rewards, by combining gaming, branded entertainment, and direct response. Users will receive product information through the inclusion of a variety of state-of-the-art methods that can be utilized in order to engage users. This is done in order to reach the consumer base and deliver relevant product information to them in dynamic ways: for example but not limited to, via audio and/or visual triggers, sending links through push notifications, providing information based upon user location, and personalizing AR/VR visuals based upon each user's profiled data.

A system configured to be coupled with a participant of an activity. The system comprises: a participant activity monitoring unit configured for monitoring a performance of the activity by the participant; an activity information module configured for storing performance information corresponding to the activity; and a participant performance correlator configured for delivering comparative performance data based on the monitored performance of the activity by the participant and the stored performance information.

A method may comprise accessing first data sets associated with a first job of a workflow, each first data set associated with an execution of the first job, each first data set specifying a runtime of the first job and a first plurality of feature values of features associated with the runtime; executing a first plurality of feature weighting analyses utilizing the first data sets to rank the plurality of features with respect to their predictive value on a runtime of the first job; and generating, using at least one data processing apparatus, a predicted runtime of the first job based on a time series analysis of a plurality of runtimes of a plurality of second data sets, the second data sets selected from the first data sets based on the rank and one or more expected feature values associated with a future execution of the first job.

Events and offers based on context is provided by determining an event based on a social media footprint, determining a group of people associated with the event based on the social media footprint, generating an offer based on the group of people and the event; and causing the offer to be displayed to at least one of the group of people.

In some embodiments, a computer implemented method of processing messages may include receiving priority information from at least one sponsor, the priority information to be used in determining a priority of one or more messages received from a plurality user devices, creating a message collection using a plurality of messages received from the plurality of user devices, and prioritizing at least one message in the message collection according to the received priority information.

In certain aspects, the disclosed implementations include methods and systems for dynamically generating and providing transaction affinity recommendation data. In certain implementations, the transaction affinity recommendation data may include information that identifies a target merchant and associated merchant promotion data that may be generated based on a dynamic analysis of transaction data corresponding to an account record. The disclosed implementations may determine temporal relationships between pairs of sequential transactions corresponding to the account record, and based on such relationships, may identify pairs of transactions involving separate merchants. The disclosed implementations may determine affinity relationships associated with one or more pairs of the temporally related transactions and a target merchant, and based on such relationships, generate and provide the transaction affinity recommendation data.

A wireless device is enabled to provide offers. The wireless device receives card data for a financial account card and stores the card data in a memory associated with the wireless device. Responsive to using the card data in a transaction at a first merchant location, the wireless device receives transaction line-item data from a computing system associated with the first merchant location. The wireless device determines merchant information for a second merchant location and determines an offer associated with the second merchant location based on the line-item data and the merchant information for the second merchant. The wireless device presents the offer when the wireless device is near the second merchant location.

Techniques are disclosed for the simulation of Internet of Things (IoT) device messages to control the generation and rendering of digital signage on a display module. A methodology implementing the techniques according to an embodiment includes intercepting messages that are transmitted from the devices to the display modules, and extracting or otherwise accessing sensor data from the intercepted messages. The sensor data can be provided to a user interface configured to allow a user to edit or manipulate the sensor data. A modified or transformed message is generated, based on the intercepted message and the edited sensor data. The modified or transformed message is transmitted to the display module, which is configured to render digital signage based on the content of the message. These techniques enable the user to visualize and evaluate alternative signage renderings in a relatively convenient manner by manipulating the sensor data reported from the IoT devices.

Technologies are generally described for context sensitive display of information on a consumable delivery vehicle with en route preparation. An on-board controller may receive different sets of sensor data associated with time, location, temperature, humidity, captured images, and/or captured audio from sensors on the vehicle or at a destination location. The sensor data may be analyzed/processed at the on-board controller or by a remote control system and instructions may be generated for display of context sensitive information based on received sensor data and/or processed sensor data. One or more displays on the vehicle may display images are associated with a branding, a menu, a pricing, and/or an advertisement based on the generated instructions.