Abstract:
A system anticipates one or more destinations that a user may be interested in requesting. Using parameters such as time of day, day of week, and user device location, the system categorizes users according to current user parameters. Categories, which may be predefined by the system, are organized according to similar destination types. In some embodiments, the system determines variety scores indicative of whether a user is likely to select a destination that the user has requested before or more likely to select a new destination, within a selected category. The system uses the determined categories and variety scores to select a list of destinations to suggest to the user.
Abstract:
To generate navigation directions for a driver of a vehicle, a route for guiding the driver to a destination is obtained, visual landmarks corresponding to prominent physical objects disposed along the route are retrieved, and real-time imagery is collected at the vehicle approximately from a vantage point of the driver during navigation along the route. Using (i) the retrieved visual landmarks and (ii) the imagery collected at the vehicle, a subset of the visual landmarks that are currently visible to the driver is selected. Navigation directions describing the route are provided the driver, the navigation directions referencing the selected subset of the visual landmarks and excluding the remaining visual landmarks.
Abstract:
Collection-based searches along a route are described herein. In one or more implementations, a mapping application is configured to conduct point-of-interest (POI) searches along a route in dependence upon information from collections associated with the user to inform the search results. For instance, the mapping application may cross-reference collections and adjust POI rankings to favor items identified from the collections. The searches along a route may also be focused upon the user's own collections, shared collections, group collections, or other user-specific collections to find items that match the search criteria. By way of the example, the user-specific collections may include lists of favorites items that are shared with the user by friends, and/or group lists generated via social networks. Incorporating the user-specific collections in searches along a route allows for more personalized and customized experience since the search results are generated using customized items included in the collections.
Abstract:
Die vorliegende Erfindung betrifft ein Verfahren zum Optimieren der Parkplatzsuche eines Fahrzeuges. Das Verfahren ist dadurch gekennzeichnet, dass bei dem Verfahren zumindest eine Lösungsoption ermittelt wird, aus dieser mindestens einen Lösungsoption eine Optimierungslösung ermittelt wird, wobei als ein Optimierungsparameter die Wahrscheinlichkeit der Verfügbarkeit mindestens eines Parkplatzes, als ein weiterer Optimierungsparameter die relative Position des mindestens einen Parkplatzes zu einem Zielort, ausgedrückt als Dauer zum Erreichen des Zielortes von dem mindestens einen Parkplatz, und als ein weiterer Optimierungsparameter die Fahrtdauer von einem Startort zu dem mindestens einen Parkplatz verwendet wird. Zudem betrifft die Erfindung ein entsprechendes System und ein entsprechendes Computerprogrammprodukt.
Abstract:
A method of generating a personalised recommendation of a plurality of points of interest (POIs) for a user involves generating a route between an origin and a destination. A plurality of waypoints are defined at a predetermined spacing along the route, and search areas of a predetermined size are defined, centred on each waypoint. Personalisation data for the user is obtained from one or more social media websites. For each one of the defined search areas, the POI present within the search area are identified, and descriptive data relating to attributes of each of the identified POIs obtained. The POIs identified in each search area are ranked based on at least a comparison of the personalisation data and the descriptive data relating to each of the respective POIs, and a subset of the identified POIs are selected for inclusion in the personalised POI recommendation for the user based on the determined ranking. Data is generated indicative of the or each selected identified POI, and used to display an indication of each POI to the user.
Abstract:
Systems and methods disclosed herein may include providing search results. A route offset may be determined, where the route offset at least in part defines a search area for a route. A search result may be received from a point-of-interest (POI) search within the search area. The search result may include a set of POIs associated with a POI category. The set of POIs in the search result may be ranked based at least in part on route disruption criteria. The route disruption criteria for a given one of the POIs may measure additional travel if the route is changed to include the given POI. One or more of the ranked set of POIs may be presented. A selection of the POI category and a mode of transportation for the route may be received. The mode of transportation may include one of driving, bicycling, traveling by public transportation, or walking.
Abstract:
Methods and apparatus for determining aspects of locations based on computing interactions of users that pertain to the locations. In some implementations, an aspect of a location may be determined based on comparing a first computing interaction measure for the location to a second measure. The first computing interaction measure may be determined based on a first group of computing interactions that pertain to the location. In some implementations, the second measure may be determined based on a second group of interactions that include additional interactions that are in addition to the interactions of the first group. In some implementations, a textual summary may be generated automatically based on the first and/or second computing interaction measure, and/or based on the determined aspect.
Abstract:
An example waypoint navigator method includes identifying a local waypoint using image recognition on an image of the local waypoint displayed on a mobile device. The example method also includes overlaying on the image of the local waypoint, a visual direction to the remote waypoint based on identifying the local waypoint, the visual direction based on context. The example method also includes updating the visual direction based on changes in the context.