A method and system for generating customized incentives involving electronic distribution of coupons to remote personal computers based on proximity of the computer to a retail center are disclosed. A repository, such as an online service provider or a web site on the Internet, stores packages of incentive data for downloading automatically or on demand to a user's computer. A plurality of data fields is used to associate a user's location with a specific incentive. The incentive data corresponds to remote user computers in a predetermined geographic area. Means for identifying remote user computers in a predetermined geographic area and means for providing direction data, such as maps, etc. to the remote user computer are disclosed.

This disclosure involves a using an adaptive component for customizing content delivered to customer devices. For instance, an adaptive component is configured to selectively receive information from a back-end service and present the information based on contexts of shopping experiences on particular devices. A context includes at least one of a device being a particular location or indicating a particular stage of interest in a product or service. The adaptive component includes configured parameters specifying different sets of sales information for different contexts. Different sets of context-specific sales are provided, based on different contexts, for presentation on one or more user devices via the adaptive component.

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. By default, each portable electrical energy storage device is disabled from accepting a charge unless it receives authentication information from an authorized collection, charging and distribution machine, other authorized charging device, or other authorized device that transmits the authentication credentials. Also, by default, each portable electrical energy storage device is disabled from releasing energy unless it receives authentication information from an external device to which it will provide power, such as a vehicle or other authorization device.

In a case where a store within a predetermined distance from a portable terminal of a user has a product associated with the user in stock, an information processing apparatus (2000) outputs information related to the store and the product to the portable terminal of the user. A determination unit (2020) determines the store having the product associated with the user in stock. A judging unit (2040) judges whether or not a distance between the portable terminal of the user and the store is less than or equal to the predetermined distance. An output control unit (2060) outputs the information related to the store and the product to the portable terminal of the user in a case where it is judged that the distance between the portable terminal of the user and the store is less than or equal to the predetermined distance.

Systems, device and techniques are disclosed for dynamically retrieving and monitoring geo-fence activity. A meta geo-fence may be identified based on a user device geolocation. The meta geo-fence having a radius that is dynamically generated to include previously defined geo-fences within or touching the meta geo-fence. User device geolocation may be monitored in relation to the defined geo-fences included in the radius of the meta geo-fence. A communication may be sent to the user device when the user device reports that the user device has entered or exited one of the previously defined geo-fences within or touching the radius of the meta geo-fence.

A group recommendation provides end users in a social group a set of recommended destinations based on the combined personal preferences of the members of the social group. Members of a social group are identified using a combination of location based signals and social graph information in response to receiving a recommendation request. The group recommendation may be determined by combining the personal preferences associated with each member of the group into a master preference profile. Alternatively, the group recommendation may be determined by first calculating an individual recommendation list for each member of the social group and then calculating a composite score for each recommendation on the individual recommendation lists.

Provided is a process of selectively providing content to computing devices based on geographic proximity to dynamically detected events drawing crowds, the process including: obtaining, with one or more computers, data indicative of current geolocations of more than 5,000 mobile computing devices based on information reported by an application executing on the mobile computing devices; inferring, with one or more computers, that an event with a crowd is occurring based on the data indicative of the geolocations indicating an amount of people and a proximity of the people; selecting, with one or more computers, content in response to the inference; and sending, with one or more computers, the selected content to one or more user computing devices for presentation based on proximity between the one or more user computing devices and a geographic location of the event with the crowd.

Providing a purchase incentive to a mobile device based for example the user's location, predicted route of travel, and prior transactions. A tracking server computer determines a number of locations of a mobile device as it travels along a route and an associated timeframe when it is at each of the locations. The tracking server computer records the locations and associated timeframes in a location log and analyzes the location log to predict a subsequent location and associated timeframe that the mobile device will be at that location. The tracking server computer then determines a merchant proximate to the predicted subsequent location of the mobile device and generates a purchase incentive for use at the merchant and delivers the purchase incentive to the mobile device. In the alternative, the incentive may be generated by a merchant computer or the mobile device.

Techniques for providing information to a user of a mobile device based on an online or web-identity of the user and a geolocation of the mobile device are described herein. The user may be notified when a nearby merchant has a good or service for sale that matches a good or service in a list, such as a wish list, associated with the web-identity of the user. The users may also be provided access to a coupon within an electronic document when a mobile device storing the electronic document is located at a particular merchant. This convergence of geographical location of the user, as determined by the geolocation of his or her mobile device, with his or her web-identity can bring the online and off-line worlds closer together to provide relevant information for the user and improved marketing opportunities for merchants.

Data storage and calling methods and devices are provided. One of the methods includes: receiving first motion data and business data; establishing an association relationship between the first motion data and the business data and storing the association relationship; receiving second motion data; and determining first motion data that matches the second motion data, and returning, to a sender of the second motion data, business data associated with the matched first motion data.