Abstract: Receiving point of interest zones and alerts on user devices comprises communicating, by a user computing device to a remote computing device, a request for point of interest data corresponding to points of interest within a proximity of the user device; presenting the received point of interest data; identifying a particular point of interest; and outputting an alert regarding the particular point of interest. Receiving point of interest zones on user devices comprises communicating a request for point of interest data; receiving the point of interest data from the remote network device wherein a size of the point of interest zone is determined based on a density of points of interest in the proximity of the user, and wherein the shape of the point of interest zone is expanded in a direction of travel and contracted in the opposite direction; and presenting the received point of interest data.

Abstract: A location management system identifies points of interest that may be of interest to one or more users. The location management system defines a geofence boundary encompassing a particular point of interest. When the location management system determines that the user device is inside the geofence boundary—but not, for example, when the location management system determines that the user determines that the user device is outside the geofence boundary—the location management system instructs the user device to determine wireless signals available to the user device. The location management system then receives wireless signal data from the user device for available wireless signals. By matching the received wireless signal data to known wireless signals available at the identified points of interest, the location management system determines that the user device (and hence the user) is at the point of interest.

Abstract: A location management system identifies points of interest that may be of interest to one or more users. The location management system defines a geofence boundary encompassing a particular point of interest. When the location management system determines that the user device is inside the geofence boundary—but not, for example, when the location management system determines that the user determines that the user device is outside the geofence boundary—the location management system instructs the user device to determine wireless signals available to the user device. The location management system then receives wireless signal data from the user device for available wireless signals. By matching the received wireless signal data to known wireless signals available at the identified points of interest, the location management system determines that the user device (and hence the user) is at the point of interest.

Abstract: A personalized score for a place that a user may want to visit is computed and displayed to the user. The score is computed based on at least one of inferred or explicit parameters, using machine learning. The score may be displayed to the user in connection with the place, and in some examples explanations of the underlying factors that resulted in the score are also displayed. Because each user is unique, the score may be different for one person than for another. Accordingly, when a group of friends are deciding on a place to visit, such as a place to eat, the personalized score for a given restaurant may be higher for a first user than for a second user.

Abstract: The user enters a merchant location with a user device. An account management system logs an action of the user device at the merchant location. The account management system transmits a location-based offer to the user device. The user device receives the location-based offer and the user selects the location-based offer on the user device. The user desires to make a purchase from the merchant system and accesses the merchant website. The user initiates a transaction with the merchant via the merchant website. The account management system logs the user purchase activity and notes a conversion. For example, a conversion occurs when a user receives a location-based offer and then later purchases online a product or service from a merchant or manufacturer associated with the offer. The merchant system processes the transaction and the account management system logs the conversion of the offer.

Abstract: Receiving point of interest zones and alerts on user devices comprises communicating, by a user computing device to a remote computing device, a request for point of interest data corresponding to points of interest within a proximity of the user device; presenting the received point of interest data; identifying a particular point of interest; and outputting an alert regarding the particular point of interest. Receiving point of interest zones on user devices comprises communicating a request for point of interest data; receiving the point of interest data from the remote network device wherein a size of the point of interest zone is determined based on a density of points of interest in the proximity of the user, and wherein the shape of the point of interest zone is expanded in a direction of travel and contracted in the opposite direction; and presenting the received point of interest data.

Abstract: Receiving point of interest zones and alerts on user devices comprises communicating, by a user computing device to a remote computing device, a request for point of interest data corresponding to points of interest within a proximity of the user device; presenting the received point of interest data; identifying a particular point of interest; and outputting an alert regarding the particular point of interest. Receiving point of interest zones on user devices comprises communicating a request for point of interest data; receiving the point of interest data from the remote network device wherein a size of the point of interest zone is determined based on a density of points of interest in the proximity of the user, and wherein the shape of the point of interest zone is expanded in a direction of travel and contracted in the opposite direction; and presenting the received point of interest data.

Abstract: A location management system identifies points of interest that may be of interest to one or more users. The location management system defines a geofence boundary encompassing a particular point of interest. When the location management system determines that the user device is inside the geofence boundary—but not, for example, when the location management system determines that the user determines that the user device is outside the geofence boundary—the location management system instructs the user device to determine wireless signals available to the user device. The location management system then receives wireless signal data from the user device for available wireless signals. By matching the received wireless signal data to known wireless signals available at the identified points of interest, the location management system determines that the user device (and hence the user) is at the point of interest.

Abstract: A location management system identifies points of interest that may be of interest to one or more users. The location management system defines a geofence boundary encompassing a particular point of interest. When the location management system determines that the user device is inside the geofence boundary—but not, for example, when the location management system determines that the user determines that the user device is outside the geofence boundary—the location management system instructs the user device to determine wireless signals available to the user device. The location management system then receives wireless signal data from the user device for available wireless signals. By matching the received wireless signal data to known wireless signals available at the identified points of interest, the location management system determines that the user device (and hence the user) is at the point of interest.

Abstract: A computing device includes one or more processors, a user interface, and a non-transitory computer-readable medium storing instructions for determining whether a certain geographic location is within a virtual perimeter of a geographic place. The instructions, when executed on the one or more processors, cause the computing device to determine multiple component shapes that approximately make up a geometry of the geographic place, determine whether the certain geographic location is within at least one of the component shapes, generate an indication that the geographic location is within the virtual perimeter if the geographic location is within at least one of the component shapes, and provide the indication via the user interface.

Abstract: Systems and methods for adaptively scanning for one or more beacon devices based at least in part on user activity are provided. More particularly, a user device can scan for one or more beacon devices at a first scan rate. The user device can detect a trigger event based at least in part on data indicative of an activity level, such as data indicative of a status of a display, data determined from one or more motion sensors, a number of beacon devices detected by the mobile device during a time period, data indicative of prior interactions with beacon device information, or data indicative of a charging status of a battery associated with the mobile device. The trigger event can signify a change in an activity level associated with the user device. Responsive to the trigger event, the user device can adjust the scan rate from the first scan rate to a second scan rate.

Abstract: Receiving point of interest zones and alerts on user devices comprises communicating, by a user computing device to a remote computing device, a request for point of interest data corresponding to points of interest within a proximity of the user device; presenting the received point of interest data; identifying a particular point of interest; and outputting an alert regarding the particular point of interest. Receiving point of interest zones on user devices comprises communicating a request for point of interest data; receiving the point of interest data from the remote network device wherein a size of the point of interest zone is determined based on a density of points of interest in the proximity of the user, and wherein the shape of the point of interest zone is expanded in a direction of travel and contracted in the opposite direction; and presenting the received point of interest data.

Abstract: Receiving point of interest zones and alerts on user devices comprises communicating, by a user computing device to a remote computing device, a request for point of interest data corresponding to points of interest within a proximity of the user device; presenting the received point of interest data; identifying a particular point of interest; and outputting an alert regarding the particular point of interest. Receiving point of interest zones on user devices comprises communicating a request for point of interest data; receiving the point of interest data from the remote network device wherein a size of the point of interest zone is determined based on a density of points of interest in the proximity of the user, and wherein the shape of the point of interest zone is expanded in a direction of travel and contracted in the opposite direction; and presenting the received point of interest data.

Abstract: Digital maps can be composed of a series of image tiles that are selected based on the context of the map to be presented. Independently hosted tiles can comprise additional details that can be added to the map. A manifest can be created that describes the layers of map details composed of such independently hosted tiles. Externally referable mechanisms can, based on the manifest and map context, select tiles, from among the independently hosted tiles, that correspond to map tiles being displayed to a user. Subsequently, the mechanisms can instruct a browser, as specified in the manifest, to combine the map tiles and the independently hosted tiles to generate a more detailed map. Alternatively, customized mechanisms can generate map detail tiles in real-time, based on an exported map context. Also, controls instantiated by the browser can render three-dimensional images based on the combined map tiles.

Abstract: A computing device includes one or more processors, a user interface, and a non-transitory computer-readable medium storing instructions for determining whether a certain geographic location is within a virtual perimeter of a geographic place. The instructions, when executed on the one or more processors, cause the computing device to determine multiple component shapes that approximately make up a geometry of the geographic place, determine whether the certain geographic location is within at least one of the component shapes, generate an indication that the geographic location is within the virtual perimeter if the geographic location is within at least one of the component shapes, and provide the indication via the user interface.

Abstract: A location management system identifies points of interest that may be of interest to one or more users. The location management system defines a geofence boundary encompassing a particular point of interest. When the location management system determines that the user device is inside the geofence boundary—but not, for example, when the location management system determines that the user determines that the user device is outside the geofence boundary—the location management system instructs the user device to determine wireless signals available to the user device. The location management system then receives wireless signal data from the user device for available wireless signals. By matching the received wireless signal data to known wireless signals available at the identified points of interest, the location management system determines that the user device (and hence the user) is at the point of interest.

Abstract: A unique system, method, and user interface are provided that facilitate more efficient indexing and retrieval of images. In particular, the systems and methods involve annotating or geo-coding images with their location metadata. Geo-coded images can be displayed on a map and browsed or queried based on their location metadata. Images can be annotated one by one or in bulk to reduce repetitiveness and inconsistency among related images. More specifically, selected images can be dropped onto a map, thereby triggering a virtual marker to appear. The virtual marker facilitates pinpointing the precise location associated with the images on the map with a higher level of granularity. The system and method can also generate customized directions and include geo-coded images throughout to serve as visual landmarks. Privacy controls can be employed as well to control access and modification of the images.

Abstract: Receiving point of interest zones and alerts on user devices comprises communicating, by a user computing device to a remote computing device, a request for point of interest data corresponding to points of interest within a proximity of the user device; presenting the received point of interest data; identifying a particular point of interest; and outputting an alert regarding the particular point of interest. Receiving point of interest zones on user devices comprises communicating a request for point of interest data; receiving the point of interest data from the remote network device wherein a size of the point of interest zone is determined based on a density of points of interest in the proximity of the user, and wherein the shape of the point of interest zone is expanded in a direction of travel and contracted in the opposite direction; and presenting the received point of interest data.

Abstract: A scanner detection model is created by a detection system to determine whether a laser scanner is present so the user is notified of the potential inability to accurately read a machine-readable identifier on a user device. A user operating the user device accesses an electronic record and a machine-readable identifier that comprises information identifying the electronic record is displayed on the user device. A scanner detection module detects display of the machine-readable identifier and turns on a camera resident on the user device. The camera captures and analyzes images. The scanner detection module identifies whether the scanner is a laser scanner based on an analysis of the images and the scanner detection model created by the detection system. If the scanner is a laser scanner, a message is displayed on the user device indicating that the machine-readable identifier is to be entered or inputted, instead of scanned.

Abstract: Digital maps can be composed of a series of image tiles that are selected based on the context of the map to be presented. Independently hosted tiles can comprise additional details that can be added to the map. A manifest can be created that describes the layers of map details composed of such independently hosted tiles. Externally referable mechanisms can, based on the manifest and map context, select tiles, from among the independently hosted tiles, that correspond to map tiles being displayed to a user. Subsequently, the mechanisms can instruct a browser, as specified in the manifest, to combine the map tiles and the independently hosted tiles to generate a more detailed map. Alternatively, customized mechanisms can generate map detail tiles in real-time, based on an exported map context. Also, controls instantiated by the browser can render three-dimensional images based on the combined map tiles.