Systems and methods for using wireless beacons in point of purchase (POP) displays to facilitate the delivery of consumer oriented content to mobile devices is disclosed herein. Wireless beacons may be used to broadcast wireless signals from POP displays, where the wireless signals include data packets with unique identifiers for the wireless beacons. A wireless signal from a POP display may be received by a mobile device. The mobile device may provide the unique identifier in the wireless signal and a geographic location of the mobile device to a remote server. The remote server may assess the location of the POP display based on the unique identifier for the wireless beacon and the provided geographic location of the mobile device.

In an example embodiment, a query for search results is received, the query including at least one value for one facet, a facet defining a categorical dimension for the search results. It is then determined that the facet in the query is exclusive. In response to the determination that the facet is exclusive: for each potential facet different from the facet in the query: for each potential value in the potential facet: conditional entropy gain of the value in the query and the potential value is determined. The potential value in the potential facet that has the highest conditional entropy gain is determined, as is the potential facet with the minimum maximum conditional entropy gain. Then the potential facet with the minimum maximum is input into a machine learning model, causing the machine learning model to output one or more suggested facets to add to the query.

Techniques for providing remote messages to mobile devices based on image data and other sensor data are discussed herein. Some embodiments may include one or more servers configured to: receive, from a consumer device via a network, location data indicating a consumer device location of a consumer device; receive, from the consumer device via the network, image data captured by a camera of the consumer device; receive, from the consumer device via the network, orientation data defining an orientation of the camera when the image data was captured, wherein the orientation data is captured by an accelerometer of the consumer device; attempt to extract a merchant identifier from the image based on programmatically processing the image data; determine one or more merchants based on a fuzzy search of available ones of the location data, the merchant identifier, and the orientation data.

The present disclosure relates to a system and method for determining advertising conversion metrics. In some implementations, a method includes receiving spatial information associated with a user in connection with an advertisement presented through a wireless device 102. The advertisement is associated with an offline 110 store having a geographic location. A likelihood of conversion is determined based, at least in part, on the spatial information and the geographic location of the offline store 110.

Existing infrastructure for processing credit card transactions at point-of-sale (POS) devices is leveraged to provide secure and convenient payment with a mobile device. A mobile transaction infrastructure that is integrated with the credit card interchange network receives information from the mobile device and passes this information to a gateway provider or a payment processor. By combining information from both the mobile device and the POS device, this backend infrastructure can uniquely identify a transaction and appropriately charge an account associated with the user of the mobile device. The transaction may be matched with the mobile device be based on location, time, transaction charge, and/or other factors.

Methods, computer program products, and systems are presented. The methods include, for instance: obtaining, by one or more processor, a geographical coordinate of a mobile device according to a location event, as a user carrying the mobile device travels. An address corresponding to the geographical coordinates is ascertained and the address is searched against a location database. Based on contents searched from the location database, a confidence score for the type of the location is determined and a notification corresponding to the type is generated and sent to the user.

Providing rewards for purchases is disclosed. In some embodiments, electronic couponing data corresponding to an available reward offer for an item as well as an association of a loyalty identifier with the reward offer is provided to an electronic coupon processor; and in response to receiving an indication from the electronic coupon processor that the loyalty identifier was associated with a transaction in which the item was purchased, a user account is credited with a reward amount associated with the reward offer.

A seller device executing a seller module captures an image of an item available for purchase and uploads the image to a host machine. The host machine receives the image of the item and provides the image and a seller address to a buyer device. The buyer device executing a buyer module presents the image and the seller address to a user. The seller address is usable to initiate a communication with the seller of the item. The host machine may provide the seller module to the seller device, and the host machine may provide the buyer module to the buyer device. The host machine may also communicate the image to an advertisement server configured to publish the image as a listing of the item.

A method includes receiving a search query from a user device and identifying function records using the search query. Each function record includes an application access mechanism (AAM) and application state information (ASI). The AAM includes a reference to a native application and indicates one or more operations for the application to perform. The ASI describes a state of the application after the application has performed the operations. Identifying the function records may be based on matches between terms of the search query and terms of the ASI included in the function records. The techniques further include selecting AAMs from the identified function records and identifying one or more AAMs of the selected AAMs that are compatible with the user device. The techniques also include transmitting the identified AAMs to the user device and refraining from transmitting any of the selected AAMs that are not compatible with the user device.

A network of collection, charging and distribution machines collect, charge and distribute portable electrical energy storage devices (e.g., batteries, supercapacitors or ultracapacitors). To charge, the machines employ electrical current from an external source, such as the electrical grid or an electrical service of an installation location. The charging and distribution machines may distribute portable electrical energy storage devices of particular performance characteristics and other attributes based on customer preferences and/or customer profiles. The charging and distribution machines may provide instructions to or otherwise program portable electrical energy storage devices stored within the charging and distribution machines to perform at various levels according to user preferences and user profiles.